Wei Gu
Impact in
- Reproductive Medicine top 10%
- Reproductive Health and Technologies
-
- Advanced Glycation End Products research
Papers in
-
- Hormonal Regulation and Hypertension 3
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
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- Blood Pressure and Hypertension Studies 3
- Renin-Angiotensin System Studies 2
- Co-authors
- Shaojun Wen (11 shared papers)Mingduo Zhang (2 shared papers)Jianxin Jiang (4 shared papers)Dingyuan Du (5 shared papers)Qing Liu (5 shared papers)Zuoguang Wang (8 shared papers)Wenru Wang (5 shared papers)Quanming Zhao (1 shared paper)
- Journals
- PLoS ONE (3 papers)Clinical and Experimental Hypertension (3 papers)Hypertension Research (2 papers)Critical Care Medicine (2 papers)BMC Pregnancy and Childbirth (1 paper)
- Partner nations
- ChinaSingaporeSouth Sudan
In The Last Decade
Wei Gu
34 papers receiving 362 citations
Peers
Comparison fields: 5 of 77
- Reproductive Medicine 41
- Clinical Biochemistry 22
- Endocrinology, Diabetes and Metabolism 49
- Immunology 63
- Cancer Research 31
Countries citing papers authored by Wei Gu
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
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-authors
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.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 40 | |
| 2 | 2007 | 33 | |
| 3 | 2020 | 28 | |
| 4 | 2008 | 24 | |
| 5 | 2014 | 23 | |
| 6 | 2013 | 23 | |
| 7 | 2011 | 22 | |
| 8 | 2017 | 17 | |
| 9 | 2025 | 16 | |
| 10 | 2010 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2011 | 14 | |
| 13 | 2015 | 13 | |
| 14 | 2011 | 11 | |
| 15 | 2024 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2011 | 6 | |
| 18 | 2011 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2016 | 5 |
About Wei Gu
Wei Gu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Immunology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 37 papers that have together received 367 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Blood Pressure and Hypertension Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Adipose Tissue and Metabolism (3 papers), Reproductive Health and Technologies (3 papers), Receptor Mechanisms and Signaling (2 papers), Renin-Angiotensin System Studies (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Reproductive Medicine (41 citations), Clinical Biochemistry (22 citations), Endocrinology, Diabetes and Metabolism (49 citations), Immunology (63 citations) and Cancer Research (31 citations). Wei Gu has collaborated with scholars based in China, Singapore and South Sudan. Frequent co-authors include Shaojun Wen, Mingduo Zhang, Jianxin Jiang, Dingyuan Du, Qing Liu, Zuoguang Wang, Wenru Wang, Quanming Zhao, Enjun Zhu and Lian-yang Zhang. Their work appears in journals such as PLoS ONE, Clinical and Experimental Hypertension, Hypertension Research, Critical Care Medicine and BMC Pregnancy and Childbirth.
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.