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

Saugata Hazra

Indian Institute of Technology Roorkee

ORCID: 0000-0002-3074-1534

Also affiliated with Indian Institute of Technology Indore

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.

N/A
0Author DataRank · unranked

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.

Top 52%8 citations

Saugata Hazra, Niteesh Kumar Pandey

Papers

Driven by 1 paper — median percentile 48. Top paper: Complete genome sequence of carbapenem-resistant pathogenic Klebsiella aerogenes strain CH7 isolated from vermicompost.

Top 52%8 citations

Saugata Hazra, Niteesh Kumar Pandey