Lingshu Wang
Impact in
- Nephrology top 10%
-
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Adipose Tissue and Metabolism 5
- Co-authors
- Xinguo Hou (18 shared papers)Li Chen (17 shared papers)Xinghong Guo (7 shared papers)Nan Zang (5 shared papers)Huiqing Hu (5 shared papers)Fuqiang Liu (7 shared papers)Chen Cui (5 shared papers)Qin He (6 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)PLoS ONE (3 papers)Metabolism (1 paper)Stem Cell Research & Therapy (1 paper)Journal of Cachexia Sarcopenia and Muscle (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lingshu Wang
22 papers receiving 591 citations
Peers
Comparison fields: 5 of 77
- Nephrology 42
- Physiology 135
- Genetics 51
- Endocrinology, Diabetes and Metabolism 68
- Cancer Research 56
Countries citing papers authored by Lingshu Wang
This map shows the geographic impact of Lingshu Wang'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 Lingshu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingshu Wang more than expected).
Fields of papers citing papers by Lingshu Wang
This network shows the impact of papers produced by Lingshu Wang. 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 Lingshu Wang. The network helps show where Lingshu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingshu Wang, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 84 | |
| 2 | 2020 | 78 | |
| 3 | 2022 | 77 | |
| 4 | 2017 | 51 | |
| 5 | 2022 | 42 | |
| 6 | 2021 | 39 | |
| 7 | 2015 | 33 | |
| 8 | 2015 | 23 | |
| 9 | 2016 | 22 | |
| 10 | 2018 | 20 | |
| 11 | 2014 | 19 | |
| 12 | 2015 | 16 | |
| 13 | 2014 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2018 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2021 | 8 | |
| 20 | 2020 | 6 |
About Lingshu Wang
Lingshu Wang is a scholar working on Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology, having authored 22 papers that have together received 598 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Pancreatic function and diabetes (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes and associated disorders (2 papers), Autophagy in Disease and Therapy (2 papers), Diabetes Management and Research (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Nephrology (42 citations), Physiology (135 citations), Genetics (51 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Cancer Research (56 citations). Lingshu Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xinguo Hou, Li Chen, Xinghong Guo, Nan Zang, Huiqing Hu, Fuqiang Liu, Chen Cui, Qin He, Fei Yan and Ruxing Zhao. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Metabolism, Stem Cell Research & Therapy and Journal of Cachexia Sarcopenia and Muscle.
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.