Tianwei Gu
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Diabetes Treatment and Management
- Reproductive Medicine top 10%
- Ovarian function and disorders
Papers in
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- Diabetes Treatment and Management 5
- Diet, Metabolism, and Disease 4
- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Diabetes Management and Research 3
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- Metabolism, Diabetes, and Cancer 5
- Co-authors
- Yan Bi (18 shared papers)Kerstin Brismar (8 shared papers)Dalong Zhu (13 shared papers)Harvest F. Gu (5 shared papers)Qingjiu Tang (1 shared paper)Da‐Peng Yang (1 shared paper)Changyan Ma (1 shared paper)Ting Wang (1 shared paper)
- Journals
- Diabetes Therapy (4 papers)Clinical Epigenetics (3 papers)Diabetes & Metabolism (3 papers)Hepatology International (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Tianwei Gu
34 papers receiving 622 citations
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 170
- Reproductive Medicine 69
- Nephrology 38
- Cancer Research 75
- Molecular Biology 257
Countries citing papers authored by Tianwei Gu
This map shows the geographic impact of Tianwei 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 Tianwei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianwei Gu more than expected).
Fields of papers citing papers by Tianwei Gu
This network shows the impact of papers produced by Tianwei 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 Tianwei Gu. The network helps show where Tianwei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianwei 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 | 2010 | 80 | |
| 2 | 2012 | 61 | |
| 3 | 2013 | 40 | |
| 4 | 2018 | 40 | |
| 5 | 2019 | 38 | |
| 6 | 2014 | 37 | |
| 7 | 2013 | 34 | |
| 8 | 2018 | 33 | |
| 9 | 2012 | 32 | |
| 10 | 2018 | 25 | |
| 11 | 2021 | 22 | |
| 12 | 2012 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2023 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2021 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2011 | 10 |
About Tianwei Gu
Tianwei Gu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Genetics, having authored 37 papers that have together received 632 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Diabetes Treatment and Management (5 papers), Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Genetic Syndromes and Imprinting (4 papers), Diet, Metabolism, and Disease (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Reproductive Medicine (69 citations), Nephrology (38 citations), Cancer Research (75 citations) and Molecular Biology (257 citations). Tianwei Gu has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Yan Bi, Kerstin Brismar, Dalong Zhu, Harvest F. Gu, Qingjiu Tang, Da‐Peng Yang, Changyan Ma, Ting Wang, Bingjie Zhang and Henrik Falhammar. Their work appears in journals such as Diabetes Therapy, Clinical Epigenetics, Diabetes & Metabolism, Hepatology International and BioMed Research International.
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.