In‐Gu Jun

77 papers and 929 indexed citations i.

About

In‐Gu Jun is a scholar working on Surgery, Hepatology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, In‐Gu Jun has authored 77 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Surgery, 29 papers in Hepatology and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in In‐Gu Jun’s work include Liver Disease and Transplantation (28 papers), Organ Transplantation Techniques and Outcomes (27 papers) and Pain Mechanisms and Treatments (10 papers). In‐Gu Jun is often cited by papers focused on Liver Disease and Transplantation (28 papers), Organ Transplantation Techniques and Outcomes (27 papers) and Pain Mechanisms and Treatments (10 papers). In‐Gu Jun collaborates with scholars based in South Korea, United States and Canada. In‐Gu Jun's co-authors include Jun‐Gol Song, Gyu‐Sam Hwang, Young‐Jin Moon, Jong Yeon Park, Gyu Jeong Noh, UnCheol Lee, George A. Mashour, Young‐Kug Kim, Won‐Jung Shin and Hye‐Mee Kwon and has published in prestigious journals such as PLoS ONE, Hepatology and Annals of Surgery.

In The Last Decade

Co-authorship network of co-authors of In‐Gu Jun i

Fields of papers citing papers by In‐Gu Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by In‐Gu Jun

Since Specialization
Citations

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).

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.

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2025