Renzhi Cai
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Oncology top 10%
- Epidemiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Andrew V. SchallyWei ShaGordan SrkalovićXianyang ZhangPetra PopovicsNorman L. BlockRiccarda GranataKároly Szepesházi
- Topics
- Growth Hormone and Insulin-like Growth Factors (20 papers)Neuroendocrine Tumor Research Advances (10 papers)Neuropeptides and Animal Physiology (8 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculation ResearchThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesItalyGermany
In The Last Decade
Renzhi Cai
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 533
- Molecular Biology 467
- Oncology 345
- Epidemiology 296
- Cellular and Molecular Neuroscience 188
Countries citing papers authored by Renzhi Cai
This map shows the geographic impact of Renzhi Cai'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 Renzhi Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renzhi Cai more than expected).
Fields of papers citing papers by Renzhi Cai
This network shows the impact of papers produced by Renzhi Cai. 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 Renzhi Cai. The network helps show where Renzhi Cai may publish in the future.
Co-authorship network of co-authors of Renzhi Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Renzhi Cai. A scholar is included among the top collaborators of Renzhi Cai 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 Renzhi Cai. Renzhi Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 21 | |
| 12 | 10 | |
| 13 | 28 | |
| 14 | 27 | |
| 15 | 21 | |
| 16 | 52 | |
| 17 | 21 | |
| 18 | 11 | |
| 19 | 8 | |
| 20 | 100 |
About Renzhi Cai
Renzhi Cai is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Behavioral Neuroscience, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (20 papers), Neuroendocrine Tumor Research Advances (10 papers) and Neuropeptides and Animal Physiology (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (533 citations), Developmental Neuroscience (60 citations) and Oncology (345 citations). Renzhi Cai has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Andrew V. Schally, Wei Sha, Gordan Srkalović, Xianyang Zhang, Petra Popovics, Norman L. Block, Riccarda Granata, Károly Szepesházi, Gábor Halmos and Joshua M. Hare. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.
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.