Weiran Feng

1.6k citations
14 papers · 1.1k indexed · 1 hit paper · h-index 10
Topics
CRISPR and Genetic Engineering (6 papers)DNA Repair Mechanisms (5 papers)BRCA gene mutations in cancer (4 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Weiran Feng

12 papers receiving 1.1k citations

Hit Papers

Homologous Recombination and Human Health: The Roles of B...20152026201820222015100200300400500

Peers

Weiran Feng
Comparison fields: 5 of 80
  • Molecular Biology 940
  • Oncology 479
  • Genetics 245
  • Cancer Research 173
  • Plant Science 71
Replace Massimo Bogliolo with:
Massimo Bogliolo Spain
Ji-Young Kim South Korea
Yi-Tzu Lin United States
Hua-Tang Chen United States
Sebastian Kehrloesser Germany
Margrét Steinarsdóttir Iceland
Valérie Borel United Kingdom
Zelda Lichtensztejn Canada
Dragana Kopanja United States
Paloma García United Kingdom
Weiran Feng relative to Massimo Bogliolo Spain Massimo Bogliolo's profile →
Citations per field
00.5×4.8×
Massimo Bogliolo · 1×
Citations per year

Countries citing papers authored by Weiran Feng

Since Specialization
Citations

This map shows the geographic impact of Weiran Feng'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 Weiran Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiran Feng more than expected).

Fields of papers citing papers by Weiran Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weiran Feng. 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 Weiran Feng. The network helps show where Weiran Feng may publish in the future.

Co-authorship network of co-authors of Weiran Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Weiran Feng. A scholar is included among the top collaborators of Weiran Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weiran Feng. Weiran Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 4
3 29
4 22
5 2
6 10
7 32
8 14
9 121
10 47
11 40
12 216
13 0
14
Homologous Recombination and Human Health: The Roles of BRCA1, BRCA2, and Associated Proteinsbreakdown →
589

About Weiran Feng

Weiran Feng is a scholar working on Genetics, Oncology and Molecular Biology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (5 papers) and BRCA gene mutations in cancer (4 papers). The work is most often cited by research in Oncology (479 citations), Molecular Biology (940 citations) and Cancer Research (173 citations). Weiran Feng has collaborated with scholars based in United States, China and France. Frequent co-authors include Maria Jasin, Rohit Prakash, Yu Zhang, Pei Xin Lim, Chun-Chin Chen, Elizabeth M. Kass, Loélia Babin, Fabio Vanoli, Mark Tomishima and Erika Brunet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

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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