Wen-Feng Zeng

ChemistryBiochemistry, Genetics and Molecular Biology

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 3 papers. Top paper: “Artificial intelligence for proteomics and biomarker discovery”.

Artificial intelligence for proteomics and biomarker discovery

Cell Systems(2021)10.1016/j.cels.2021.06.006

N/A

0.895DataRank · unranked

389 citations

Chanchal Kumar, Wen-Feng Zeng, Maximilian T. Strauss, Matthias Mann

Robust dimethyl-based multiplex-DIA workflow doubles single-cell proteome depth via a reference channel

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.02.518917

N/A

0.416DataRank · unranked

15 citations

Corazon Ericka Mae Itang, Constantin Ammar, Florian A. Rosenberger, Isabell Bludau, Patricia Skowronek +11 more

Carafe enables high quality in silico spectral library generation for data-independent acquisition proteomics

Nature Communications(2025)10.1038/s41467-025-64928-4

N/A

0DataRank · unranked

12 citations

Chris Hsu, David Shteynberg, Wen-Feng Zeng, Michael Riffle, Alexis Chang +8 more