Junghyo Jo
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
-
- Diabetes Management and Research
Papers in
- Surgery 14
- Pancreatic function and diabetes 14
- Co-authors
- Vipul Periwal (16 shared papers)Samuel W. Cushman (3 shared papers)William Jou (1 shared paper)Oksana Gavrilova (1 shared paper)Anne E. Sumner (1 shared paper)Stephanie Pack (1 shared paper)Danh-Tai Hoang (9 shared papers)Matteo Marsili (3 shared papers)
- Journals
- Physical review. E (9 papers)PLoS ONE (4 papers)Biophysical Journal (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Junghyo Jo
38 papers receiving 1.1k citations
Junghyo Jo's Hit Papers
Peers
Comparison fields: 5 of 114
- Physiology 383
- Endocrinology, Diabetes and Metabolism 138
- Epidemiology 273
- Endocrine and Autonomic Systems 44
- Biochemistry 49
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 42 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 | 638 |
| 2 | 2008 | 55 | |
| 3 | 2014 | 42 | |
| 4 | 2010 | 38 | |
| 5 | 2005 | 36 | |
| 6 | 2012 | 35 | |
| 7 | 2010 | 33 | |
| 8 | 2014 | 30 | |
| 9 | 2019 | 27 | |
| 10 | 2013 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2013 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2005 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2017 | 5 | |
| 20 | Emergence and Relevance of Criticality in Deep Learning. | 2017 | 5 |
About Junghyo Jo
Junghyo Jo is a scholar working on Surgery, Molecular Biology, Statistical and Nonlinear Physics, Cognitive Neuroscience and Artificial Intelligence, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Neural dynamics and brain function (9 papers), Diabetes Management and Research (6 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Statistical Mechanics and Entropy (5 papers), Neural Networks and Applications (5 papers), Diabetes and associated disorders (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Physiology (383 citations), Endocrinology, Diabetes and Metabolism (138 citations), Epidemiology (273 citations), Endocrine and Autonomic Systems (44 citations) and Biochemistry (49 citations). Junghyo Jo has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Vipul Periwal, Samuel W. Cushman, William Jou, Oksana Gavrilova, Anne E. Sumner, Stephanie Pack, Danh-Tai Hoang, Matteo Marsili, K. I. Lee and Seung-Han You. Their work appears in journals such as Physical review. E, PLoS ONE, Biophysical Journal, Physica A Statistical Mechanics and its Applications 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.