Junghyo Jo
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
-
- Diabetes Management and Research
Papers in
- Surgery 13
- Pancreatic function and diabetes 13
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- Statistical Mechanics and Entropy 5
- Advanced Thermodynamics and Statistical Mechanics 3
- Co-authors
- Vipul Periwal (14 shared papers)Samuel W. Cushman (2 shared papers)Anne E. Sumner (1 shared paper)Oksana Gavrilova (1 shared paper)Stephanie Pack (1 shared paper)William Jou (1 shared paper)Danh-Tai Hoang (9 shared papers)K. I. Lee (1 shared paper)
- Journals
- Physical review. E (9 papers)PLoS ONE (4 papers)Physica A Statistical Mechanics and its Applications (2 papers)Biophysical Journal (2 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Junghyo Jo
37 papers receiving 1.1k citations
Junghyo Jo's Hit Papers
Peers
Comparison fields: 5 of 113
- Physiology 367
- Endocrinology, Diabetes and Metabolism 131
- Epidemiology 260
- Endocrine and Autonomic Systems 44
- Biochemistry 48
Countries citing papers authored by Junghyo Jo
This map shows the geographic impact of Junghyo Jo'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 Junghyo Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junghyo Jo more than expected).
Fields of papers citing papers by Junghyo Jo
This network shows the impact of papers produced by Junghyo Jo. 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 Junghyo Jo. The network helps show where Junghyo Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Junghyo Jo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth Hit paper breakdown → | 2009 | 622 |
| 2 | 2008 | 55 | |
| 3 | 2014 | 41 | |
| 4 | 2010 | 37 | |
| 5 | 2005 | 36 | |
| 6 | 2012 | 33 | |
| 7 | 2010 | 31 | |
| 8 | 2014 | 30 | |
| 9 | 2019 | 27 | |
| 10 | 2013 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2013 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2005 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2017 | 5 | |
| 20 | 2020 | 4 |
About Junghyo Jo
Junghyo Jo is a scholar working on Surgery, Statistical and Nonlinear Physics, Molecular Biology, Cognitive Neuroscience and Artificial Intelligence, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Neural dynamics and brain function (9 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Diabetes Management and Research (5 papers), Statistical Mechanics and Entropy (5 papers), Neural Networks and Applications (5 papers), Diabetes and associated disorders (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). The work is most often cited by research in Physiology (367 citations), Endocrinology, Diabetes and Metabolism (131 citations), Epidemiology (260 citations), Endocrine and Autonomic Systems (44 citations) and Biochemistry (48 citations). Junghyo Jo has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Vipul Periwal, Samuel W. Cushman, Anne E. Sumner, Oksana Gavrilova, Stephanie Pack, William Jou, Danh-Tai Hoang, K. I. Lee, M. Y. Choi and Seung-Han You. Their work appears in journals such as Physical review. E, PLoS ONE, Physica A Statistical Mechanics and its Applications, Biophysical Journal and Scientific Reports.
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.