Jon M. Nakamoto
- Molecular Biology
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Obstetrics and Gynecology top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Harvey W. KaufmanAmy J. BlattPaul HerzmarkTaroh IiriHenry R. BourneCornelis Van DopGeoffrey N. HendyHiroyuki Koshiyama
- Topics
- Genetic Syndromes and Imprinting (7 papers)Sexual Differentiation and Disorders (5 papers)Congenital heart defects research (4 papers)
- Partner nations
- United StatesGreeceFinland
In The Last Decade
Jon M. Nakamoto
26 papers receiving 944 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 534
- Genetics 425
- Endocrinology, Diabetes and Metabolism 305
- Obstetrics and Gynecology 129
- Pediatrics, Perinatology and Child Health 99
Countries citing papers authored by Jon M. Nakamoto
This map shows the geographic impact of Jon M. Nakamoto'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 Jon M. Nakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon M. Nakamoto more than expected).
Fields of papers citing papers by Jon M. Nakamoto
This network shows the impact of papers produced by Jon M. Nakamoto. 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 Jon M. Nakamoto. The network helps show where Jon M. Nakamoto may publish in the future.
Co-authorship network of co-authors of Jon M. Nakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Jon M. Nakamoto. A scholar is included among the top collaborators of Jon M. Nakamoto 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 Jon M. Nakamoto. Jon M. Nakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 35 | |
| 3 | 21 | |
| 4 | 27 | |
| 5 | 16 | |
| 6 | 78 | |
| 7 | Laboratory diagnosis of multiple pituitary hormone deficiencies: issues with testing of the growth and thyroid axes. | 1 |
| 8 | 4 | |
| 9 | 38 | |
| 10 | 7 | |
| 11 | 186 | |
| 12 | 11 | |
| 13 | 31 | |
| 14 | 2 | |
| 15 | 17 | |
| 16 | 206 | |
| 17 | 8 | |
| 18 | 17 | |
| 19 | 5 | |
| 20 | 7 |
About Jon M. Nakamoto
Jon M. Nakamoto is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Urology, having authored 26 papers that have together received 977 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (7 papers), Sexual Differentiation and Disorders (5 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (305 citations), Obstetrics and Gynecology (129 citations) and Genetics (425 citations). Jon M. Nakamoto has collaborated with scholars based in United States, Greece and Finland. Frequent co-authors include Harvey W. Kaufman, Amy J. Blatt, Paul Herzmark, Taroh Iiri, Henry R. Bourne, Cornelis Van Dop, Geoffrey N. Hendy, Hiroyuki Koshiyama, Arlan L. Rosenbloom and Ólafur S. Indridason. Their work appears in journals such as Nature, Journal of Clinical Investigation 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.