Lingshu Wang
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Chronic Kidney Disease and Diabetes 7
- Renal Diseases and Glomerulopathies 1
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Co-authors
- Xinguo Hou (17 shared papers)Li Chen (17 shared papers)Xinghong Guo (7 shared papers)Huiqing Hu (5 shared papers)Nan Zang (5 shared papers)Chen Cui (5 shared papers)Qin He (6 shared papers)Fuqiang Liu (7 shared papers)
- Journals
- PLoS ONE (5 papers)Biochemical and Biophysical Research Communications (3 papers)iScience (2 papers)Stem Cell Research & Therapy (1 paper)Molecular and Cellular Endocrinology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lingshu Wang
29 papers receiving 735 citations
Peers
Comparison fields: 5 of 62
- Nephrology 122
- Genetics 65
- Endocrinology, Diabetes and Metabolism 105
- Molecular Biology 234
- Epidemiology 101
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 91 | |
| 2 | 2022 | 84 | |
| 3 | 2020 | 80 | |
| 4 | 2017 | 52 | |
| 5 | 2022 | 43 | |
| 6 | 2021 | 41 | |
| 7 | 2015 | 32 | |
| 8 | 2015 | 29 | |
| 9 | 2016 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2018 | 22 | |
| 12 | 2014 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2015 | 17 | |
| 15 | 2014 | 15 | |
| 16 | 2016 | 15 | |
| 17 | 2020 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 2014 | 12 |
About Lingshu Wang
Lingshu Wang is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Physiology, having authored 30 papers that have together received 741 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (7 papers), Pancreatic function and diabetes (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Mesenchymal stem cell research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Adipose Tissue and Metabolism (2 papers), Smoking Behavior and Cessation (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Nephrology (122 citations), Genetics (65 citations), Endocrinology, Diabetes and Metabolism (105 citations), Molecular Biology (234 citations) and Epidemiology (101 citations). Lingshu Wang has collaborated with scholars based in China and United States. Frequent co-authors include Xinguo Hou, Li Chen, Xinghong Guo, Huiqing Hu, Nan Zang, Chen Cui, Qin He, Fuqiang Liu, Ruxing Zhao and Tianyi He. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, iScience, Stem Cell Research & Therapy and Molecular and Cellular Endocrinology.
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.