Vani Parmar

Biochemistry, Genetics and Molecular BiologyMedicine

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 100%percentile

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 →

Papers

Driven by 2 papers. Top paper: “Towards equitable AI in oncology”.

Towards equitable AI in oncology

Nature Reviews Clinical Oncology(2024)10.1038/s41571-024-00909-8

N/A

0.529DataRank · unranked

33 citations

Vani Parmar, Anant Madabhushi, Vidya Sankar Viswanathan

Computational pathology improves risk stratification of a multi-gene assay for early stage ER+ breast cancer

npj Breast Cancer(2023)10.1038/s41523-023-00545-y

N/A

0.510DataRank · unranked

29 citations

Haojia Li, Andrew Janowczyk, Paula Toro, Germán Corredor, Jon Whitney +16 more