🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Sudeshna Das

Emory University

ORCID: 0000-0002-2112-6986
Computer ScienceBiochemistry, Genetics and Molecular BiologyPsychologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 3%percentile
1.0Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

An aspect-level sentiment analysis dataset for therapies on Twitter

Data in Brief(2023)10.1016/j.dib.2023.109618
Top 20%
1.0DataRank
Top 20%12 citations

Sudeshna Das, Sahithi Lakamana, Abeed Sarker, Yuting Guo

Papers

Driven by 6 papers — median percentile 80. Top paper: “An aspect-level sentiment analysis dataset for therapies on Twitter”.

An aspect-level sentiment analysis dataset for therapies on Twitter

Data in Brief(2023)10.1016/j.dib.2023.109618
Top 20%
1.0DataRank
Top 20%12 citations

Sudeshna Das, Sahithi Lakamana, Abeed Sarker, Yuting Guo

Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

Journal of Medical Internet Research(2024)10.2196/66220
N/A
0.457DataRank · unranked
20 citations

Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne M. Powell +17 more

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models

Research Square(2025)10.21203/rs.3.rs-7216581/v1
N/A
0.104DataRank · unranked
1 citations

Sudeshna Das, Yuting Guo, Abeed Sarker, Yao Ge

Few-shot learning for medical text: A review of advances, trends, and opportunities

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104458
N/A
0DataRank · unranked
100 citations

Yuting Guo, Sudeshna Das, Mohammed Ali Al-Garadi, Abeed Sarker, Yao Ge

CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae310
N/A
0DataRank · unranked
11 citations

Annie Thorne, Sudeshna Das, Jennifer S. Love, Hannah L. F. Cooper, Melvin D. Livingston +2 more

Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP

HAL (Le Centre pour la Communication Scientifique Directe)(2024)10.18653/v1/2024.smm4h-1.40
N/A
0DataRank · unranked
0 citations

Guillermo López-García, Lisa Raithel, Philippe Thomas, Roland Roller, Eiji Aramaki +19 more