Wei Gu

14.6k citations
104 papers · 11.8k indexed · 4 hit papers · h-index 40

Impact in

Papers in

Wei Gu

102 papers receiving 11.6k citations

Hit Papers

Targeted Disruption of the Melanocortin-4 Receptor Results in Obesity in Mice 1997 · 2.4k citations
2.4k199320262004201550010001.5k2.0k

Peers

Wei Gu
Comparison fields: 5 of 144
  • Endocrine and Autonomic Systems 2.4k
  • Oncology 3.5k
  • Nutrition and Dietetics 1.8k
  • Molecular Biology 7.3k
  • Geriatrics and Gerontology 299
Replace T. Keith Blackwell with:
T. Keith Blackwell United States
Sara C. Kozma United States
Mathieu Laplante Canada
Catherine Tomasetto France
Andrea Varró United Kingdom
Simeon I. Taylor United States
Alex Toker United States
Geert Bultynck Belgium
Charles Vinson United States
Ken Inoki United States
Wei Gu relative to T. Keith Blackwell United States T. Keith Blackwell's profile →
Citations per field
00.5×4.4×
T. Keith Blackwell · 1×
Citations per year

Countries citing papers authored by Wei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20246
4 20235
5 20235
6 20224
7 202046
8 201819
9 201713
10 201717
11 201555
12 2011157
13 201128
14 201121
15 20105
16 200932
17 200946
18 2006195
19 200443
20 19896

About Wei Gu

Wei Gu is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research and Endocrine and Autonomic Systems, having authored 104 papers that have together received 11.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (28 papers), Ubiquitin and proteasome pathways (14 papers), Epigenetics and DNA Methylation (10 papers), Pancreatic function and diabetes (8 papers), RNA modifications and cancer (7 papers), Diabetes Treatment and Management (7 papers), RNA Interference and Gene Delivery (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.4k citations), Oncology (3.5k citations), Nutrition and Dietetics (1.8k citations), Molecular Biology (7.3k citations) and Geriatrics and Gerontology (299 citations). Wei Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include R G Roeder, Robert G. Roeder, Christopher Brooks, Jianyuan Luo, Muyang Li, Vijak Mahdavi, Bernardo Nadal‐Ginard, Lucy R. Berkemeier, Paul Burn and Bruce A. Boston. Their work appears in journals such as Cell, Journal of Biological Chemistry, Journal of Bacteriology, Molecular Cell and Oncotarget.

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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