Michael S. Kapiloff
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Co-authors
- Kimberly L. Dodge‐KafkaMichael G. RosenfeldJohn D. ScottJinliang LiGeneviève C. ParéHolly A. IngrahamVivian R. AlbertJennifer J. Carlisle Michel
- Topics
- Signaling Pathways in Disease (24 papers)Cardiomyopathy and Myosin Studies (18 papers)Protein Kinase Regulation and GTPase Signaling (11 papers)
- Partner nations
- United StatesPanamaAustralia
In The Last Decade
Michael S. Kapiloff
72 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 3.5k
- Cardiology and Cardiovascular Medicine 954
- Cellular and Molecular Neuroscience 677
- Endocrinology, Diabetes and Metabolism 549
- Genetics 471
Countries citing papers authored by Michael S. Kapiloff
This map shows the geographic impact of Michael S. Kapiloff'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 S. Kapiloff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Kapiloff more than expected).
Fields of papers citing papers by Michael S. Kapiloff
This network shows the impact of papers produced by Michael S. Kapiloff. 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 S. Kapiloff. The network helps show where Michael S. Kapiloff may publish in the future.
Co-authorship network of co-authors of Michael S. Kapiloff
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Kapiloff. A scholar is included among the top collaborators of Michael S. Kapiloff 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 S. Kapiloff. Michael S. Kapiloff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 12 | |
| 7 | 21 | |
| 8 | 8 | |
| 9 | 47 | |
| 10 | 11 | |
| 11 | 45 | |
| 12 | 35 | |
| 13 | 78 | |
| 14 | 31 | |
| 15 | 61 | |
| 16 | 97 | |
| 17 | 19 | |
| 18 | 100 | |
| 19 | 38 | |
| 20 | 357 |
About Michael S. Kapiloff
Michael S. Kapiloff is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 75 papers that have together received 4.3k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (24 papers), Cardiomyopathy and Myosin Studies (18 papers) and Protein Kinase Regulation and GTPase Signaling (11 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Cardiology and Cardiovascular Medicine (954 citations) and Cellular and Molecular Neuroscience (677 citations). Michael S. Kapiloff has collaborated with scholars based in United States, Panama and Australia. Frequent co-authors include Kimberly L. Dodge‐Kafka, Michael G. Rosenfeld, John D. Scott, Jinliang Li, Geneviève C. Paré, Holly A. Ingraham, Vivian R. Albert, Jennifer J. Carlisle Michel, Howard Schulman and Phyllis I. Hanson. 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.