Author

Sara Richardson

National Institutes of Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Ajith V. PankajamiD· 1 shared Bingfang XuiD· 1 shared Brian R. Fluharty· 1 shared Caroline EastwoodiD· 1 shared David Osumi-SutherlandiD· 1 shared Gerard C. TrompiD· 1 shared Helena KuivaniemiiD· 1 shared Matthew A. DilleriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ajith V. PankajamORCID

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1 paper

Recent·Most cited

Cell phenotypes in the biomedical literature: a systematic analysis and text mining corpus

Noam Rotenberg, Robert Leaman, Rezarta Islamaj, Helena Kuivaniemi, Gerard C. Tromp, Brian R. Fluharty, Sara Richardson, Caroline Eastwood, Matthew A. Diller, Bingfang Xu, Ajith V. Pankajam, David Osumi-Sutherland, Zhiyong Lu, Richard H. Scheuermann

The paper creates a manually annotated corpus of cell phenotype mentions and shows its use in improving named entity recognition and entity linking models.

bioRxiv · Feb 14, 2026 · PreprintBioinformatics