Li Tang
- Public Health, Environmental and Occupational Health top 5%
- Reproductive Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Meng RaoZhengyan ZengShuhua ZhaoMasaru KubotaAyako NagaiGuangyan CaiHuawei WangXiangmei Chen
- Topics
- Parasites and Host Interactions (11 papers)Sperm and Testicular Function (9 papers)Dialysis and Renal Disease Management (7 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Tang
103 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 136
- Public Health, Environmental and Occupational Health 365
- Reproductive Medicine 350
- Endocrinology, Diabetes and Metabolism 245
- Molecular Biology 236
- Pediatrics, Perinatology and Child Health 220
Countries citing papers authored by Li Tang
This map shows the geographic impact of Li 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 Li Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Tang more than expected).
Fields of papers citing papers by Li Tang
This network shows the impact of papers produced by Li 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 Li Tang. The network helps show where Li Tang may publish in the future.
Co-authorship network of co-authors of Li Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Li Tang. A scholar is included among the top collaborators of Li Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li Tang. Li Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | Reporting and Methods in Developing Prognostic Prediction Models for Metabolic Syndrome: A Systematic Review and Critical Appraisal | 2 |
| 13 | 1 | |
| 14 | 57 | |
| 15 | 32 | |
| 16 | 37 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | Effect of compound Chinese herbal medicine on growth of Pelteobagrus vachelli. | 1 |
| 20 | Effect of flavonoids from Lysimachia clethroides on gene expresion of HL-60 cell | 1 |
About Li Tang
Li Tang is a scholar working on Reproductive Medicine, Nephrology and Parasitology, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parasites and Host Interactions (11 papers), Sperm and Testicular Function (9 papers) and Dialysis and Renal Disease Management (7 papers). The work is most often cited by research in Reproductive Medicine (350 citations), Nephrology (196 citations) and Parasitology (110 citations). Li Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Meng Rao, Zhengyan Zeng, Shuhua Zhao, Masaru Kubota, Ayako Nagai, Guangyan Cai, Huawei Wang, Xiangmei Chen, Changhong Zhu and Jiang Liu. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.