In‐Gu Jun
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
-
- Trauma, Hemostasis, Coagulopathy, Resuscitation
Papers in
- Hepatology 12
- Liver Disease and Transplantation 12
-
- Trauma, Hemostasis, Coagulopathy, Resuscitation 6
- Co-authors
- Jun‐Gol Song (54 shared papers)Gyu‐Sam Hwang (52 shared papers)Young‐Jin Moon (31 shared papers)George A. Mashour (1 shared paper)Gyu Jeong Noh (1 shared paper)UnCheol Lee (1 shared paper)Jong Yeon Park (11 shared papers)Hye‐Mee Kwon (37 shared papers)
- Journals
- Korean Journal of Anesthesiology (10 papers)Journal of Korean Medical Science (4 papers)Anesthesia & Analgesia (4 papers)Medicine (4 papers)Scientific Reports (3 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
In‐Gu Jun
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Hepatology 222
- Critical Care and Intensive Care Medicine 126
- Anesthesiology and Pain Medicine 85
- Developmental Neuroscience 37
- Surgery 318
Countries citing papers authored by In‐Gu Jun
This map shows the geographic impact of In‐Gu Jun'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 In‐Gu Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Gu Jun more than expected).
Fields of papers citing papers by In‐Gu Jun
This network shows the impact of papers produced by In‐Gu Jun. 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 In‐Gu Jun. The network helps show where In‐Gu Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside In‐Gu Jun, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 183 | |
| 2 | 2013 | 83 | |
| 3 | 2013 | 57 | |
| 4 | 2009 | 49 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 33 | |
| 7 | 2011 | 32 | |
| 8 | 2009 | 30 | |
| 9 | 2019 | 28 | |
| 10 | 2010 | 25 | |
| 11 | 2019 | 25 | |
| 12 | 2019 | 22 | |
| 13 | 2016 | 21 | |
| 14 | 2010 | 20 | |
| 15 | 2017 | 20 | |
| 16 | 2012 | 19 | |
| 17 | 2020 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2021 | 18 | |
| 20 | 2013 | 18 |
About In‐Gu Jun
In‐Gu Jun is a scholar working on Hepatology, Critical Care and Intensive Care Medicine, Surgery, Physiology and Nephrology, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (16 papers), Liver Disease and Transplantation (12 papers), Pain Mechanisms and Treatments (10 papers), Hemodynamic Monitoring and Therapy (7 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (6 papers), Acute Kidney Injury Research (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and Nutrition and Health in Aging (4 papers). The work is most often cited by research in Hepatology (222 citations), Critical Care and Intensive Care Medicine (126 citations), Anesthesiology and Pain Medicine (85 citations), Developmental Neuroscience (37 citations) and Surgery (318 citations). In‐Gu Jun has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jun‐Gol Song, Gyu‐Sam Hwang, Young‐Jin Moon, George A. Mashour, Gyu Jeong Noh, UnCheol Lee, Jong Yeon Park, Hye‐Mee Kwon, Won‐Jung Shin and Young‐Kug Kim. Their work appears in journals such as Korean Journal of Anesthesiology, Journal of Korean Medical Science, Anesthesia & Analgesia, Medicine 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.