Michael J. Gambello
- Molecular Biology top 2%
- Genetics top 1%
- Cell Biology top 1%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Co-authors
- Anthony Wynshaw‐BorisBarbara H. IglewskiJames M. CookLynn RustLuciano PassadorShinji HirotsuneJames T MckennaJessica Yingling
- Topics
- Tuberous Sclerosis Complex Research (18 papers)PI3K/AKT/mTOR signaling in cancer (9 papers)Polyomavirus and related diseases (7 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Michael J. Gambello
60 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.4k
- Genetics 1.4k
- Cell Biology 1.2k
- Cellular and Molecular Neuroscience 821
- Physiology 752
Countries citing papers authored by Michael J. Gambello
This map shows the geographic impact of Michael J. Gambello'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 J. Gambello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Gambello more than expected).
Fields of papers citing papers by Michael J. Gambello
This network shows the impact of papers produced by Michael J. Gambello. 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 J. Gambello. The network helps show where Michael J. Gambello may publish in the future.
Co-authorship network of co-authors of Michael J. Gambello
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Gambello. A scholar is included among the top collaborators of Michael J. Gambello 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 J. Gambello. Michael J. Gambello 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 | 4 | |
| 3 | 9 | |
| 4 | 37 | |
| 5 | 18 | |
| 6 | Recessive Mutations in NDUFA2 Cause Mitochondrial Leukoencephalopathy | 0 |
| 7 | 45 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 53 | |
| 12 | 60 | |
| 13 | 177 | |
| 14 | 8 | |
| 15 | 45 | |
| 16 | 14-3-3epsilon is important for neuronal migration by binding to NUDEL: a molecular explanation for Miller-Dieker syndrome: a molecular explanation for Miller-Dieker syndrome | 18 |
| 17 | 316 | |
| 18 | 80 | |
| 19 | 472 | |
| 20 | 3q29 Recurrent Deletion | 4 |
About Michael J. Gambello
Michael J. Gambello is a scholar working on Developmental Neuroscience, Physiology and Clinical Biochemistry, having authored 62 papers that have together received 5.4k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (18 papers), PI3K/AKT/mTOR signaling in cancer (9 papers) and Polyomavirus and related diseases (7 papers). The work is most often cited by research in Developmental Neuroscience (701 citations), Cell Biology (1.2k citations) and Molecular Medicine (277 citations). Michael J. Gambello has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Anthony Wynshaw‐Boris, Barbara H. Iglewski, James M. Cook, Lynn Rust, Luciano Passador, Shinji Hirotsune, James T Mckenna, Jessica Yingling, Joseph G. Gleeson and Teruyuki Tanaka. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.