Michael G. Rosenfeld
- Molecular Biology top 0.01%
- Genetics top 0.01%
- Endocrinology, Diabetes and Metabolism top 0.02%
- Cellular and Molecular Neuroscience top 0.05%
- Cancer Research top 0.02%
- Co-authors
- Christopher K. GlassRonald M. EvansDavid W. RoseLarry W. SwansonSusan AmaraRiki KurokawaValentina PerissiKenneth A. Ohgi
- Topics
- RNA Research and Splicing (80 papers)Genomics and Chromatin Dynamics (69 papers)Growth Hormone and Insulin-like Growth Factors (60 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Michael G. Rosenfeld
387 papers receiving 77.4k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 54.8k
- Genetics 22.4k
- Endocrinology, Diabetes and Metabolism 12.9k
- Cellular and Molecular Neuroscience 10.7k
- Cancer Research 9.4k
Countries citing papers authored by Michael G. Rosenfeld
This map shows the geographic impact of Michael G. Rosenfeld'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 Michael G. Rosenfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Rosenfeld more than expected).
Fields of papers citing papers by Michael G. Rosenfeld
This network shows the impact of papers produced by Michael G. Rosenfeld. 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 Michael G. Rosenfeld. The network helps show where Michael G. Rosenfeld may publish in the future.
Co-authorship network of co-authors of Michael G. Rosenfeld
This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Rosenfeld. A scholar is included among the top collaborators of Michael G. Rosenfeld 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 Michael G. Rosenfeld. Michael G. Rosenfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 16 | |
| 9 | 51 | |
| 10 | 85 | |
| 11 | 24 | |
| 12 | 52 | |
| 13 | 231 | |
| 14 | 139 | |
| 15 | 101 | |
| 16 | 62 | |
| 17 | 28 | |
| 18 | 208 | |
| 19 | 268 | |
| 20 | 5 |
About Michael G. Rosenfeld
Michael G. Rosenfeld is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 389 papers that have together received 79.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (80 papers), Genomics and Chromatin Dynamics (69 papers) and Growth Hormone and Insulin-like Growth Factors (60 papers). The work is most often cited by research in Genetics (22.4k citations), Molecular Biology (54.8k citations) and Endocrinology, Diabetes and Metabolism (12.9k citations). Michael G. Rosenfeld has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Christopher K. Glass, Ronald M. Evans, David W. Rose, Larry W. Swanson, Susan Amara, Riki Kurokawa, Valentina Perissi, Kenneth A. Ohgi, Joseph Torchia and Donna M. Simmons. Their work appears in journals such as Nature, Science and Cell.
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.