Jinfen Song
- Molecular Biology
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Michael BerelowitzJ. F. BrunoYu‐Dong XuYuzhen XuJohn F. BrunoDavid OlchovskyJonathan WhittakerJeffrey D. White
- Topics
- Growth Hormone and Insulin-like Growth Factors (8 papers)Neuroendocrine Tumor Research Advances (4 papers)Receptor Mechanisms and Signaling (4 papers)
- Journals
- Proceedings of the National Academy of SciencesBiochemical and Biophysical Research CommunicationsEndocrinology
- Partner nations
- United States
In The Last Decade
Jinfen Song
13 papers receiving 802 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 352
- Epidemiology 346
- Endocrinology, Diabetes and Metabolism 342
- Cellular and Molecular Neuroscience 171
- Endocrine and Autonomic Systems 131
Countries citing papers authored by Jinfen Song
This map shows the geographic impact of Jinfen Song'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 Jinfen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinfen Song more than expected).
Fields of papers citing papers by Jinfen Song
This network shows the impact of papers produced by Jinfen Song. 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 Jinfen Song. The network helps show where Jinfen Song may publish in the future.
Co-authorship network of co-authors of Jinfen Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jinfen Song. A scholar is included among the top collaborators of Jinfen Song 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 Jinfen Song. Jinfen Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 51 | |
| 3 | 46 | |
| 4 | 9 | |
| 5 | 23 | |
| 6 | 12 | |
| 7 | 230 | |
| 8 | 258 | |
| 9 | 27 | |
| 10 | 35 | |
| 11 | 59 | |
| 12 | 78 | |
| 13 | 5 |
About Jinfen Song
Jinfen Song is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 13 papers that have together received 838 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Neuroendocrine Tumor Research Advances (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (342 citations), Endocrine and Autonomic Systems (131 citations) and Epidemiology (346 citations). Jinfen Song has collaborated with scholars based in United States. Frequent co-authors include Michael Berelowitz, J. F. Bruno, Yu‐Dong Xu, Yuzhen Xu, John F. Bruno, David Olchovsky, Jonathan Whittaker, Jeffrey D. White, John W. Leidy and Marie C. Gelato. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications 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.