Weikuan Gu

6.8k citations
164 papers · 3.8k indexed · 1 hit paper · h-index 33

Impact in

    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
  • Nephrology top 5%
    • Parathyroid Disorders and Treatments

Papers in

Weikuan Gu

160 papers receiving 3.7k citations

Hit Papers

Ascorbic Acid Enhances Tet-Mediated 5-Methylcytosine Oxidation and Promotes DNA Demethylation in Mammals 2013 · 486 citations
4862013202620172021100200300400

Peers

Weikuan Gu
Comparison fields: 5 of 158
  • Molecular Biology 1.8k
  • Nephrology 185
  • Genetics 674
  • Modeling and Simulation 102
  • Cancer Research 323
Replace Yasuyuki Fujita with:
Yasuyuki Fujita Japan
Yiping Li China
Nariyoshi Shinomiya Japan
Xiaojing Wang China
Alexander V. Misharin United States
Nick Pullen United States
David Kipling United Kingdom
Neil A. Hanley United Kingdom
Jacques Zimmer Luxembourg
Weikuan Gu relative to Yasuyuki Fujita Japan Yasuyuki Fujita's profile →
Citations per field
00.5×3.1×
Yasuyuki Fujita · 1×
Citations per year

Countries citing papers authored by Weikuan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Weikuan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20251
4 20251
5 202214
6 202252
7 202140
8 20209
9 20166
10 201636
11 20155
12 20152
13
Clinical and genetic characteristics for the Urofacial Syndrome (UFS).
20148
14 20133
15 201250
16 201074
17 20085
18 20029
19 200172
20 200168

About Weikuan Gu

Weikuan Gu is a scholar working on Modeling and Simulation, Health Informatics, Genetics, Cancer Research and Molecular Biology, having authored 164 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Bone Metabolism and Diseases (10 papers), Cytokine Signaling Pathways and Interactions (10 papers), Genetic and phenotypic traits in livestock (9 papers), Rheumatoid Arthritis Research and Therapies (9 papers), COVID-19 epidemiological studies (9 papers), Vitamin C and Antioxidants Research (9 papers) and interferon and immune responses (8 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Nephrology (185 citations), Genetics (674 citations), Modeling and Simulation (102 citations) and Cancer Research (323 citations). Weikuan Gu has collaborated with scholars based in United States, China and France. Frequent co-authors include Yan Jiao, Subburaman Mohan, Kunal Ray, Cong‐Yi Wang, Godfred Masinde, David J. Baylink, Guorao Wu, Weining Xiong, Lei Zhang and Yi Wang. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Functional & Integrative Genomics, Calcified Tissue International and Mammalian Genome.

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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2026