John M. Kokontis
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Genetics top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Oncology top 2%
- Co-authors
- Shutsung LiaoRichard A. HiipakkaNissim HayAndrew J. WagnerCheng-Shyong ChangChih‐Pin ChuuJunichi FukuchiYoshihisa Umekita
- Topics
- Prostate Cancer Treatment and Research (17 papers)Hormonal and reproductive studies (10 papers)Estrogen and related hormone effects (10 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismApplied Microbiology and BiotechnologyCancer Research
- Partner nations
- United StatesTaiwanChina
In The Last Decade
John M. Kokontis
52 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 2.6k
- Pulmonary and Respiratory Medicine 1.3k
- Genetics 1.3k
- Endocrinology, Diabetes and Metabolism 1.2k
- Oncology 1.1k
Countries citing papers authored by John M. Kokontis
This map shows the geographic impact of John M. Kokontis'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 John M. Kokontis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Kokontis more than expected).
Fields of papers citing papers by John M. Kokontis
This network shows the impact of papers produced by John M. Kokontis. 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 John M. Kokontis. The network helps show where John M. Kokontis may publish in the future.
Co-authorship network of co-authors of John M. Kokontis
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Kokontis. A scholar is included among the top collaborators of John M. Kokontis 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 John M. Kokontis. John M. Kokontis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 104 | |
| 3 | 28 | |
| 4 | 1 | |
| 5 | 71 | |
| 6 | 83 | |
| 7 | 100 | |
| 8 | 99 | |
| 9 | 15 | |
| 10 | 86 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | 84 | |
| 15 | 79 | |
| 16 | 54 | |
| 17 | 73 | |
| 18 | 107 | |
| 19 | 15 | |
| 20 | 15 |
About John M. Kokontis
John M. Kokontis is a scholar working on Applied Microbiology and Biotechnology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 4.7k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (17 papers), Hormonal and reproductive studies (10 papers) and Estrogen and related hormone effects (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Applied Microbiology and Biotechnology (99 citations) and Cancer Research (701 citations). John M. Kokontis has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Shutsung Liao, Richard A. Hiipakka, Nissim Hay, Shutsung Liao, Andrew J. Wagner, Cheng-Shyong Chang, Chih‐Pin Chuu, Junichi Fukuchi, Yoshihisa Umekita and C. Chang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.