Weifeng Gu

6.6k citations
41 papers · 4.6k indexed · h-index 27
  • Aging top 0.1%
    • Genetics, Aging, and Longevity in Model Organisms 11
    • RNA modifications and cancer 14
    • RNA Research and Splicing 14
    • CRISPR and Genetic Engineering 13
    • RNA and protein synthesis mechanisms 9
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 3
    • Chromosomal and Genetic Variations 8

Weifeng Gu

41 papers receiving 4.6k citations

Peers

Weifeng Gu
Comparison fields: 5 of 113
  • Aging 1.3k
  • Molecular Biology 3.8k
  • Cancer Research 600
  • Plant Science 1.4k
  • Endocrinology 130
Replace Susan Parrish with:
Susan Parrish United States
Femke Simmer Netherlands
Darryl Conte United States
Marcel Tijsterman Netherlands
Lisa Timmons United States
Seung Woo Cho South Korea
Pedro J. Batista United States
Rebecca M. Terns United States
Luhan Yang United States
Claus M. Azzalin Switzerland
Weifeng Gu relative to Susan Parrish United States Susan Parrish's profile →
Citations per field
00.5×
Susan Parrish · 1×
Citations per year

Countries citing papers authored by Weifeng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Weifeng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Weifeng Gu, 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 Weifeng Gu Line = papers co-authored together Weifeng Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202345
3 20215
4 202137
5 202018
6 201982
7 201919
8 2018185
9 201557
10 201561
11 201294
12 201225
13 2012169
14 2012287
15 201117
16 2010272
17 2009339
18 2008441
19 2006397
20 200393

About Weifeng Gu

Weifeng Gu is a scholar working on Aging, Molecular Biology, Rehabilitation, Cancer Research and Plant Science, having authored 41 papers that have together received 4.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (14 papers), RNA Research and Splicing (14 papers), CRISPR and Genetic Engineering (13 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), RNA and protein synthesis mechanisms (9 papers), Chromosomal and Genetic Variations (8 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Aging (1.3k citations), Molecular Biology (3.8k citations), Cancer Research (600 citations), Plant Science (1.4k citations) and Endocrinology (130 citations). Weifeng Gu has collaborated with scholars based in United States, Portugal and China. Frequent co-authors include Craig C. Mello, Darryl Conte, Masaki Shirayama, Heng-Chi Lee, Daniel A. Chaves, Pedro J. Batista, Julie M. Claycomb, Elaine M. Youngman, Takao Ishidate and Meetu Seth. Their work appears in journals such as Molecular Cell, Cell, RNA, Current Biology and Biochemical Journal.

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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