Hyesik Kong
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- Neuropeptides and Animal Physiology 6
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments 24
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 11
- Pharmacological Receptor Mechanisms and Effects 4
- Physiology top 10%
- Endocrine and Autonomic Systems top 10%
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- Transplantation: Methods and Outcomes 27
- Organ Transplantation Techniques and Outcomes 12
- Helicobacter pylori-related gastroenterology studies 8
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- Polyomavirus and related diseases 6
- Co-authors
- Terry ReisineGraeme I. BellK RaynorKazuki YasudaChristopher D. BrederJun TakedaYong ChenLei Yu
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Hyesik Kong
55 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 1.3k
- Transplantation 179
- Molecular Biology 1.4k
- Physiology 289
- Endocrine and Autonomic Systems 61
Countries citing papers authored by Hyesik Kong
This map shows the geographic impact of Hyesik Kong'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 Hyesik Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyesik Kong more than expected).
Fields of papers citing papers by Hyesik Kong
This network shows the impact of papers produced by Hyesik Kong. 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 Hyesik Kong. The network helps show where Hyesik Kong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyesik Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 23 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 25 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 88 | |
| 16 | 2011 | 8 | |
| 17 | 2010 | 18 | |
| 18 | 2008 | 8 | |
| 19 | 2008 | 8 | |
| 20 | 2006 | 45 |
About Hyesik Kong
Hyesik Kong is a scholar working on Transplantation, Surgery and Oncology, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (27 papers), Renal Transplantation Outcomes and Treatments (24 papers), Organ Transplantation Techniques and Outcomes (12 papers), Receptor Mechanisms and Signaling (11 papers), Helicobacter pylori-related gastroenterology studies (8 papers), Polyomavirus and related diseases (6 papers), Neuropeptides and Animal Physiology (6 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Transplantation (179 citations) and Molecular Biology (1.4k citations). Hyesik Kong has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Terry Reisine, Graeme I. Bell, K Raynor, Kazuki Yasuda, Christopher D. Breder, Jun Takeda, Yong Chen, Lei Yu, Yunjin Jung and Young‐Mi Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.