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

Shristi Bhattarai

Georgia State University

ORCID: 0000-0002-6639-057X
Biochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

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 4%percentile
0.623Author 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.

Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia

Cancer Medicine(2023)10.1002/cam4.6341
Top 32%
0.623DataRank
Top 32%17 citations

Geetanjali Saini, Keerthi Gogineni, Justin M. Luningham, Lindsay J. Collin, Shristi Bhattarai +3 more

Papers

Driven by 9 papers — median percentile 68. Top paper: “Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia”.

Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia

Cancer Medicine(2023)10.1002/cam4.6341
Top 32%
0.623DataRank
Top 32%17 citations

Geetanjali Saini, Keerthi Gogineni, Justin M. Luningham, Lindsay J. Collin, Shristi Bhattarai +3 more

Predicting Metastasis Risk in Pancreatic Neuroendocrine Tumors Using Deep Learning Image Analysis

Frontiers in Oncology(2021)10.3389/fonc.2020.593211
N/A
0DataRank · unranked
35 citations

Yue Xue, Arkadiusz Gertych, Rondell P. Graham, Yi Jiang, Shristi Bhattarai +5 more

A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images

Bioinformatics(2022)10.1093/bioinformatics/btac558
N/A
0DataRank · unranked
48 citations

Shristi Bhattarai, Hongxiao Li, Zhan Shi, Fusheng Wang, George Teodoro +7 more

Deep learning based registration of serial whole-slide histopathology images in different stains

Journal of Pathology Informatics(2023)10.1016/j.jpi.2023.100311
N/A
0DataRank · unranked
23 citations

Fusheng Wang, George Teodoro, Shristi Bhattarai, Mahak Bhargava, T. Subbanna Rekha +3 more

Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.17.536459
N/A
0DataRank · unranked
10 citations

Geetanjali Saini, Hongxiao Li, Hongyi Duanmu, Gaurav Seth, Timothy B. Fisher +5 more

Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer

Research Square(2023)10.21203/rs.3.rs-3243195/v1
N/A
0DataRank · unranked
0 citations

Geetanjali Saini, Rekha TS, Jayashree Krishnamurthy, Shristi Bhattarai, Grace Callagy +5 more

Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer

Breast Cancer Research(2024)10.1186/s13058-023-01752-y
N/A
0DataRank · unranked
36 citations

Geetanjali Saini, T. S. Rekha, Jayashree Krishnamurthy, Shristi Bhattarai, Grace Callagy +5 more

Molecular profiling and quantitative image analysis reveal spatial intratumor heterogeneity in TNBC.

Journal of Clinical Oncology(2020)10.1200/jco.2020.38.15_suppl.e12536
N/A
0DataRank · unranked
0 citations

Hongxiao Li, Dennis Wylie, Jaspreet Kaur, Rishab Kolachina, Bikram Sahoo +13 more

Cell cycle traverse rate predicts long-term outcomes in a multi-institutional cohort of patients with triple-negative breast cancer

BJC Reports(2024)10.1038/s44276-024-00097-z
N/A
0DataRank · unranked
1 citations

Manali Rupji, He Chao, Qi Xu, Geetanjali Saini, Padmashree C.G. Rida +9 more