Wenting Bian

2.1k citations
5 papers · 1.2k · 2 hit papers · h-index 4

Impact in

    • Bioinformatics and Genomic Networks
    • Protein Structure and Dynamics
    • Machine Learning in Bioinformatics
    • Microbial Metabolic Engineering and Bioproduction
    • RNA and protein synthesis mechanisms
    • Computational Drug Discovery Methods

Papers in

Wenting Bian

4 papers receiving 1.2k citations

Wenting Bian's Hit Papers

A reference map of the human binary protein interactome 2020 · 811 citations
8110+2+4Years since publication250500750

Peers

Wenting Bian
Comparison fields: 5 of 117
  • Molecular Biology 891
  • Computational Theory and Mathematics 199
  • Statistical and Nonlinear Physics 116
  • Aging 10
  • Cell Biology 89
Replace Sadie Schlabach with:
Sadie Schlabach United States
Nishka Kishore Canada
Thomas Thorne United Kingdom
Gregorio Alanis‐Lobato Germany
Vuk Janjić United Kingdom
Nicole Bock Germany
Volker Stümpflen Germany
Birgit Dümpelfeld Germany
Sven Heinicke United States
Wenting Bian relative to Sadie Schlabach United States Sadie Schlabach's profile →
Citations per field
00.5×1.5×
Sadie Schlabach · 1×
Citations per year

Countries citing papers authored by Wenting Bian

Since Specialization
Citations

This map shows the geographic impact of Wenting Bian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wenting Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenting Bian more than expected).

Fields of papers citing papers by Wenting Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenting Bian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wenting Bian. The network helps show where Wenting Bian may publish in the future.

Co-authors

The 11 scholars most cited alongside Wenting Bian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wenting Bian Line = papers co-authored together Wenting Bian links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
A reference map of the human binary protein interactome
Hit paper breakdown →
2020811
2
Network-based prediction of protein interactions
Hit paper breakdown →
2019327
3 201951
4 202324
5 20260

About Wenting Bian

Wenting Bian is a scholar working on Computational Theory and Mathematics, Molecular Biology, Biophysics, Spectroscopy and Insect Science, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Machine Learning in Bioinformatics (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Molecular Biology (891 citations), Computational Theory and Mathematics (199 citations), Statistical and Nonlinear Physics (116 citations), Aging (10 citations) and Cell Biology (89 citations). Wenting Bian has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Kerstin Spirohn, Michael A. Calderwood, Katja Luck, István A. Kovács, Yang Wang, Marc Vidal, Dae‐Kyum Kim, Sadie Schlabach, Tong Hao and Albert-László Barabási. Their work appears in journals such as Nature Communications and Nature.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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