Lingdi Wang
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Diet, Metabolism, and Disease
Papers in
-
- Mitochondrial Function and Pathology 7
- TGF-β signaling in diseases 2
- Metabolism, Diabetes, and Cancer 2
- Mechanisms of cancer metastasis 2
- Surgery 4
- Pancreatic function and diabetes 4
- Co-authors
- Lu Zhu (15 shared papers)Michael N. Sack (9 shared papers)Kaiyuan Wu (6 shared papers)Yan Chen (4 shared papers)Iain Scott (4 shared papers)Ling Yang (2 shared papers)Xiangbo Ruan (2 shared papers)Yi Pan (3 shared papers)
- Journals
- Nature Communications (2 papers)JCI Insight (2 papers)Liver International (1 paper)Bioscience Reports (1 paper)Endocrinology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lingdi Wang
22 papers receiving 732 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 133
- Hepatology 47
- Geriatrics and Gerontology 23
- Molecular Biology 366
- Cancer Research 78
Countries citing papers authored by Lingdi Wang
This map shows the geographic impact of Lingdi 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 Lingdi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingdi Wang more than expected).
Fields of papers citing papers by Lingdi Wang
This network shows the impact of papers produced by Lingdi 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 Lingdi Wang. The network helps show where Lingdi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingdi 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 132 | |
| 2 | 2019 | 116 | |
| 3 | 2012 | 61 | |
| 4 | 2017 | 55 | |
| 5 | 2012 | 51 | |
| 6 | 2018 | 45 | |
| 7 | 2013 | 38 | |
| 8 | 2013 | 36 | |
| 9 | 2011 | 30 | |
| 10 | 2022 | 27 | |
| 11 | 2021 | 23 | |
| 12 | 2009 | 22 | |
| 13 | 2019 | 22 | |
| 14 | 2019 | 19 | |
| 15 | 2018 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2024 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 3 |
About Lingdi Wang
Lingdi Wang is a scholar working on Molecular Biology, Surgery, Epidemiology, Cell Biology and Cancer Research, having authored 24 papers that have together received 742 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Pancreatic function and diabetes (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Liver Disease Diagnosis and Treatment (3 papers), TGF-β signaling in diseases (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Mechanisms of cancer metastasis (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (133 citations), Hepatology (47 citations), Geriatrics and Gerontology (23 citations), Molecular Biology (366 citations) and Cancer Research (78 citations). Lingdi Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lu Zhu, Michael N. Sack, Kaiyuan Wu, Yan Chen, Iain Scott, Ling Yang, Xiangbo Ruan, Yi Pan, Heng Huang and Xiaolin Luo. Their work appears in journals such as Nature Communications, JCI Insight, Liver International, Bioscience Reports and 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.