Pyong‐Gon Moon
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Extracellular vesicles in disease 8
- Glycosylation and Glycoproteins Research 3
- Ubiquitin and proteasome pathways 3
- Metabolism, Diabetes, and Cancer 2
-
- Renal Diseases and Glomerulopathies 2
- Co-authors
- Moon‐Chang Baek (23 shared papers)Jeong‐Eun Lee (13 shared papers)Daehee Hwang (4 shared papers)Sungyong You (3 shared papers)Chan‐Duck Kim (3 shared papers)In‐Kyu Lee (1 shared paper)In‐San Kim (4 shared papers)Chan‐Hyeong Lee (4 shared papers)
- Journals
- PROTEOMICS (3 papers)Journal of Clinical Oncology (2 papers)Electrophoresis (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Clinical Breast Cancer (1 paper)
- Partner nations
- South KoreaSudanUnited States
In The Last Decade
Pyong‐Gon Moon
22 papers receiving 691 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 170
- Nephrology 78
- Transplantation 20
- Molecular Biology 486
- Immunology and Allergy 19
Countries citing papers authored by Pyong‐Gon Moon
This map shows the geographic impact of Pyong‐Gon Moon'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 Pyong‐Gon Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pyong‐Gon Moon more than expected).
Fields of papers citing papers by Pyong‐Gon Moon
This network shows the impact of papers produced by Pyong‐Gon Moon. 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 Pyong‐Gon Moon. The network helps show where Pyong‐Gon Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside Pyong‐Gon Moon, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 194 | |
| 2 | 2011 | 71 | |
| 3 | 2015 | 70 | |
| 4 | 2011 | 60 | |
| 5 | 2018 | 52 | |
| 6 | 2018 | 41 | |
| 7 | 2019 | 37 | |
| 8 | 2013 | 33 | |
| 9 | 2011 | 26 | |
| 10 | 2021 | 23 | |
| 11 | 2014 | 19 | |
| 12 | 2008 | 18 | |
| 13 | 2013 | 15 | |
| 14 | 2013 | 12 | |
| 15 | 2016 | 9 | |
| 16 | 2017 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2011 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2014 | 2 |
About Pyong‐Gon Moon
Pyong‐Gon Moon is a scholar working on Molecular Biology, Nephrology, Epidemiology, Pharmacology and Spectroscopy, having authored 23 papers that have together received 697 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Cancer, Lipids, and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Cancer Research (170 citations), Nephrology (78 citations), Transplantation (20 citations), Molecular Biology (486 citations) and Immunology and Allergy (19 citations). Pyong‐Gon Moon has collaborated with scholars based in South Korea, Sudan and United States. Frequent co-authors include Moon‐Chang Baek, Jeong‐Eun Lee, Daehee Hwang, Sungyong You, Chan‐Duck Kim, In‐Kyu Lee, In‐San Kim, Chan‐Hyeong Lee, Taek‐Kyun Kim and Ji‐Hoon Cho. Their work appears in journals such as PROTEOMICS, Journal of Clinical Oncology, Electrophoresis, PROTEOMICS - CLINICAL APPLICATIONS and Clinical Breast Cancer.
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.