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Biomedical Text Mining and Ontologies
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the development and application of biomedical ontologies, text mining, and natural language processing techniques to extract and integrate knowledge from biomedical literature. It encompasses topics such as gene annotation, disease integration, phenotype ontology, data integration, and the use of semantic web technologies in knowledge management.
110
Works
IDs:OpenAlex
How has Biomedical Text Mining and Ontologies's publication output changed over time?
ScholarIQpublication output · 2007–2022
Output grew100% over the shown period — from 1 works in 2007 to 2 in 2022.
1
1
1
1
2
1
1
1
1
2
2007200820092010201620172018201920212022
What are the most-cited papers on Biomedical Text Mining and Ontologies?
ScholarIQmost cited works
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature
Christophe Destrieux, Bruce Fischl, Anders M. Dale, Eric Halgren
NeuroImage. 20103,183 Citations
Clinical information extraction applications: A literature review
Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, Hongfang Liu
Journal of Biomedical Informatics. 2017939 CitationsOPEN ACCESS
Error bars in experimental biology
Geoff Cumming, Fiona Fidler, David L. Vaux
S96410829. 2007925 CitationsOPEN ACCESS
The Human Phenotype Ontology in 2017
Sebastian Köhler, Nicole Vasilevsky, Mark Engelstad, Erin D. Foster, Julie A. McMurry, Ségolène Aymé, Gareth Baynam, Susan M. Bello, Cornelius F. Boerkoel, Kym M. Boycott, Michael Brudno, Orion J. Buske, Patrick F. Chinnery, Valentina Cipriani, Laureen E. Connell, Hugh Dawkins, Laura E. DeMare, A. Devereau, Bert B.A. de Vries, Helen V. Firth, Kathleen Freson, Daniel Greene, Ada Hamosh, Ingo Helbig, Courtney Hum, Johanna Jähn, Roger James, Roland Krause, Stanley J. F. Laulederkind, Hanns Lochmüller, Gholson J. Lyon, Soichi Ogishima, Annie Olry, Willem H. Ouwehand, Nikolas Pontikos, Ana Rath, Franz Schaefer, Richard H. Scott, Michael M. Segal, Panagiotis I. Sergouniotis, Richard Sever, Cynthia L. Smith, Volker Straub, Rachel Thompson, C. Turner, Ernest Turro, Marijcke W. M. Veltman, Tom Vulliamy, Jing Yu, Julie von Ziegenweidt, Andreas Zankl, Stephan Züchner, Tomasz Żemojtel, Julius O.B. Jacobsen, Tudor Groza, Damian Smedley, Chris Mungall, Melissa Haendel, Peter N. Robinson
S134668137. 2016816 CitationsOPEN ACCESS
Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources
Sebastian Köhler, Leigh Carmody, Nicole Vasilevsky, Julius O.B. Jacobsen, Daniel Daniš, Jean-Philippe F. Gourdine, Michael Gargano, Nomi L. Harris, Nicolas Matentzoglu, Julie A. McMurry, David Osumi-Sutherland, Valentina Cipriani, James P. Balhoff, Tom Conlin, Hannah Blau, Gareth Baynam, R. Palmer, Dylan Gratian, Hugh Dawkins, Michael M. Segal, Anna Jansen, Ahmed Muaz, Willie Chang, Jenna Bergerson, Stanley J. F. Laulederkind, Zafer Yüksel, Sergi Beltrán, Alexandra F. Freeman, Panagiotis I. Sergouniotis, Daniel W. Durkin, Andrea L. Storm, Marc Hanauer, Michael Brudno, Susan M. Bello, Murat Sincan, Kayli Rageth, Matthew T. Wheeler, Renske Oegema, Halima Lourghi, Maria G. Della Rocca, Rachel Thompson, F Castellanos, James R. Priest, Charlotte Cunningham‐Rundles, Ayushi Hegde, Ruth C. Lovering, Catherine Hajek, Annie Olry, Luigi D. Notarangelo, Morgan Similuk, Xingmin Zhang, David Gómez‐Andrés, Hanns Lochmüller, Hélène Dollfus, Sergio D. Rosenzweig, Shruti Marwaha, Ana Rath, Kathleen E. Sullivan, Cynthia L. Smith, Joshua D. Milner, Dorothée Leroux, Cornelius F. Boerkoel, Amy D. Klion, Melody C. Carter, Tudor Groza, Damian Smedley, Melissa Haendel, Chris Mungall, Peter N. Robinson
S134668137. 2018739 CitationsOPEN ACCESS
Where is Biomedical Text Mining and Ontologies research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Biomedical Text Mining and Ontologies is open access?
ScholarIQopen access share
60%OPEN ACCESS
Gold
27%
Green
0%
Hybrid
20%
Bronze
13%
Closed
40%
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