In‐Gu Jun

1.4k total citations
82 papers, 995 citations indexed

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 82 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Surgery, 30 papers in Hepatology and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in In‐Gu Jun's work include Liver Disease and Transplantation (29 papers), Organ Transplantation Techniques and Outcomes (29 papers) and Pain Mechanisms and Treatments (10 papers). In‐Gu Jun is often cited by papers focused on Liver Disease and Transplantation (29 papers), Organ Transplantation Techniques and Outcomes (29 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, UnCheol Lee, George A. Mashour, Gyu Jeong Noh, Hye‐Mee Kwon, Young‐Kug Kim and Won‐Jung Shin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

In‐Gu Jun

75 papers receiving 985 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
In‐Gu Jun South Korea 18 444 297 208 146 141 82 995
Matthias Behrends United States 25 624 1.4× 144 0.5× 461 2.2× 32 0.2× 150 1.1× 47 1.6k
Ellen Ejlersen Denmark 18 640 1.4× 360 1.2× 106 0.5× 18 0.1× 130 0.9× 32 1.1k
Marleen Verhaegen Belgium 14 373 0.8× 121 0.4× 109 0.5× 23 0.2× 43 0.3× 24 777
Aurora M. Morariu Netherlands 14 449 1.0× 172 0.6× 98 0.5× 11 0.1× 111 0.8× 17 795
P. L. Goldiner United States 21 372 0.8× 81 0.3× 262 1.3× 26 0.2× 72 0.5× 81 1.3k
Yasuhide Iwao Japan 15 396 0.9× 33 0.1× 299 1.4× 32 0.2× 88 0.6× 52 903
Ryo Orii Japan 13 221 0.5× 113 0.4× 91 0.4× 14 0.1× 78 0.6× 29 504
J Dall'Ava-Santucci France 21 267 0.6× 74 0.2× 262 1.3× 17 0.1× 293 2.1× 34 1.2k
N. N. Stanley United States 18 163 0.4× 178 0.6× 84 0.4× 17 0.1× 141 1.0× 37 810
Dirk Scheinichen Germany 15 191 0.4× 43 0.1× 49 0.2× 34 0.2× 45 0.3× 62 764

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Gu Jun. A scholar is included among the top collaborators of In‐Gu Jun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with In‐Gu Jun. In‐Gu Jun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Jun, In‐Gu, et al.. (2025). Explaining blood-brain barrier permeability by synergistic effect on molecular substructures. Computers in Biology and Medicine. 198(Pt A). 111183–111183.
3.
Kwon, Hye‐Mee, et al.. (2024). Benefits of liver transplant in critically ill patients with acute-on-chronic liver failure: Implementation of an urgent living-donor program. American Journal of Transplantation. 25(1). 150–163. 1 indexed citations
4.
Kim, Jae-Hwan, Hye‐Mee Kwon, Sung‐Hoon Kim, et al.. (2023). Comparison of Fibrinogen Concentrate and Cryoprecipitate on Major Thromboembolic Events after Living Donor Liver Transplantation. Journal of Clinical Medicine. 12(23). 7496–7496. 1 indexed citations
5.
Kim, Jae-Hwan, Hye‐Mee Kwon, Young‐Jin Moon, et al.. (2023). Neutrophilia is more predictive than increased white blood cell counts for short-term mortality after liver transplantation in patients with acute-on-chronic liver failure. SHILAP Revista de lepidopterología. 18(4). 389–396. 2 indexed citations
6.
Kwon, Hye‐Mee, et al.. (2022). C-reactive protein-to-albumin ratio is a predictor of 1-year mortality following liver transplantation. SHILAP Revista de lepidopterología. 17(4). 420–428. 2 indexed citations
7.
Kim, Kyungmi, et al.. (2020). Antiallodynic and anti-inflammatory effects of intrathecal R-PIA in a rat model of vincristine-induced peripheral neuropathy. Korean journal of anesthesiology. 73(5). 434–444. 12 indexed citations
8.
Kwon, Hye‐Mee, Jihoon Park, Young‐Jin Moon, et al.. (2020). von Willebrand factor to protein C ratio-related thrombogenicity with systemic inflammation is predictive of graft dysfunction after liver transplantation: Retrospective cohort study. International Journal of Surgery. 84. 109–116. 2 indexed citations
9.
Kim, Seon‐Ok, Hye‐Mee Kwon, Young‐Jin Moon, et al.. (2019). Early postoperative weight gain is associated with increased risk of graft failure in living donor liver transplant recipients. Scientific Reports. 9(1). 20096–20096. 6 indexed citations
10.
Kang, Jiwon, Hye‐Mee Kwon, Young‐Jin Moon, et al.. (2019). Effect of Remote Ischemic Preconditioning Conducted in Living Liver Donors on Postoperative Liver Function in Donors and Recipients Following Liver Transplantation. Annals of Surgery. 271(4). 646–653. 40 indexed citations
11.
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Kwon, Hye‐Mee, Young‐Jin Moon, Kee Wook Jung, et al.. (2018). Pretransplantation Cystatin C, but not Creatinine, Predicts 30-day Cardiovascular Events and Mortality in Liver Transplant Recipients With Normal Serum Creatinine Levels. Transplantation Proceedings. 50(4). 1094–1099. 5 indexed citations
14.
15.
Park, Yong‐Seok, et al.. (2018). Comparison of acute kidney injury between open and laparoscopic pylorus-preserving pancreaticoduodenectomy: Propensity score analysis. PLoS ONE. 13(8). e0202980–e0202980. 8 indexed citations
16.
Kwon, Hye‐Mee, In‐Gu Jun, Young‐Jin Moon, et al.. (2017). Pretransplant Resting Heart Rate and Its Association With All-Cause Mortality in Liver Transplant Recipients. Transplantation Proceedings. 49(5). 1092–1096. 2 indexed citations
17.
Seo, Hyungseok, In‐Gu Jun, Tae‐Yong Ha, et al.. (2016). High Stroke Volume Variation Method by Mannitol Administration Can Decrease Blood Loss During Donor Hepatectomy. Medicine. 95(2). e2328–e2328. 8 indexed citations
18.
Shin, Won‐Jung, Jun‐Gol Song, In‐Gu Jun, et al.. (2016). Effect of ventriculo-arterial coupling on transplant outcomes in cirrhotics: Analysis of pressure-volume curve relations. Journal of Hepatology. 66(2). 328–337. 19 indexed citations
19.
Choi, Seong-Soo, Seong‐Sik Cho, Sung‐Hoon Kim, et al.. (2013). Factors Associated With Blood Transfusion in Donor Hepatectomy. Transplantation. 96(11). 1000–1007. 18 indexed citations
20.
Kim, Young‐Kug, et al.. (2011). Preoperative Echocardiographic Indices Associated With Elevated Brain Natriuretic Peptide in Liver Transplant Recipients. Transplantation Proceedings. 43(5). 1691–1695. 8 indexed citations

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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