Liqin Tang
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Pharmacology top 2%
- Berberine and alkaloids research
- Alkaloids: synthesis and pharmacology
Papers in
-
- Metabolism, Diabetes, and Cancer 4
- Receptor Mechanisms and Signaling 3
- Pharmacology 10
- Berberine and alkaloids research 8
- Co-authors
- Yuan-ye Qiu (4 shared papers)Wei‐Jian Ni (11 shared papers)Wei Wei (3 shared papers)Wei Wei (6 shared papers)Liming Chen (1 shared paper)Sheng Liu (2 shared papers)Hong Zhou (6 shared papers)Yingying Wang (1 shared paper)
- Journals
- European Journal of Pharmacology (3 papers)Journal of Cellular and Molecular Medicine (2 papers)International Immunopharmacology (2 papers)Acta Biomaterialia (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Liqin Tang
44 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Nephrology 186
- Pharmacology 381
- Pharmacology 175
- Endocrinology, Diabetes and Metabolism 238
- Clinical Biochemistry 95
Countries citing papers authored by Liqin Tang
This map shows the geographic impact of Liqin Tang'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 Liqin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liqin Tang more than expected).
Fields of papers citing papers by Liqin Tang
This network shows the impact of papers produced by Liqin Tang. 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 Liqin Tang. The network helps show where Liqin Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Liqin Tang, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 238 | |
| 2 | 2016 | 168 | |
| 3 | 2015 | 104 | |
| 4 | 2021 | 97 | |
| 5 | 2018 | 92 | |
| 6 | 2018 | 77 | |
| 7 | 2014 | 72 | |
| 8 | 2017 | 62 | |
| 9 | 2020 | 57 | |
| 10 | 2015 | 50 | |
| 11 | 2020 | 46 | |
| 12 | 2007 | 44 | |
| 13 | 2015 | 41 | |
| 14 | 2021 | 40 | |
| 15 | 2021 | 35 | |
| 16 | 2016 | 30 | |
| 17 | 2019 | 25 | |
| 18 | 2022 | 21 | |
| 19 | 2013 | 18 | |
| 20 | 2014 | 17 |
About Liqin Tang
Liqin Tang is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism, Nephrology and Surgery, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Berberine and alkaloids research (8 papers), Diabetes Treatment and Management (7 papers), Chronic Kidney Disease and Diabetes (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers), Receptor Mechanisms and Signaling (3 papers), Natural Antidiabetic Agents Studies (3 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Nephrology (186 citations), Pharmacology (381 citations), Pharmacology (175 citations), Endocrinology, Diabetes and Metabolism (238 citations) and Clinical Biochemistry (95 citations). Liqin Tang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yuan-ye Qiu, Wei‐Jian Ni, Wei Wei, Wei Wei, Liming Chen, Sheng Liu, Hong Zhou, Yingying Wang, Xiaojun Feng and Peter J. Little. Their work appears in journals such as European Journal of Pharmacology, Journal of Cellular and Molecular Medicine, International Immunopharmacology, Acta Biomaterialia and Frontiers in Pharmacology.
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.