Ju Ik Moon

813 citations
57 papers · 566 · h-index 13

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Ju Ik Moon

53 papers receiving 560 citations

Peers

Ju Ik Moon
Comparison fields: 5 of 49
  • Transplantation 82
  • Hepatology 220
  • Surgery 365
  • Pulmonary and Respiratory Medicine 160
  • Epidemiology 156
Replace Panagiotis Fikatas with:
Panagiotis Fikatas Germany
A. Lucianetti Italy
Rodrigo Mateo United States
Gülüm Altaca Türkiye
Barış Akin Türkiye
Riccardo Bertelli Italy
Alejandro Manrique Spain
Barbara Alkofer France
Nam Kyu Choi South Korea
Lucas Souto Nacif Brazil
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Citations per field
00.5×1.6×
Panagiotis Fikatas · 1×
Citations per year

Countries citing papers authored by Ju Ik Moon

Since Specialization
Citations

This map shows the geographic impact of Ju Ik 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 Ju Ik Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Ik Moon more than expected).

Fields of papers citing papers by Ju Ik Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju Ik 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 Ju Ik Moon. The network helps show where Ju Ik Moon may publish in the future.

Co-authors

The 25 scholars most cited alongside Ju Ik Moon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ju Ik Moon Line = papers co-authored together Ju Ik Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201074
2 202137
3 201237
4 201135
5 201129
6 201126
7 201025
8 201223
9 201022
10 201020
11 201017
12 201014
13 201014
14 201011
15 202111
16 201011
17 201811
18 201611
19 201411
20 20109

About Ju Ik Moon

Ju Ik Moon is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Emergency Medicine and Epidemiology, having authored 57 papers that have together received 566 indexed citations. Recurring topics across this work include Gallbladder and Bile Duct Disorders (24 papers), Minimally Invasive Surgical Techniques (13 papers), Appendicitis Diagnosis and Management (13 papers), Organ Transplantation Techniques and Outcomes (12 papers), Renal Transplantation Outcomes and Treatments (8 papers), Pancreatic and Hepatic Oncology Research (8 papers), Liver Disease and Transplantation (7 papers) and Cytomegalovirus and herpesvirus research (6 papers). The work is most often cited by research in Transplantation (82 citations), Hepatology (220 citations), Surgery (365 citations), Pulmonary and Respiratory Medicine (160 citations) and Epidemiology (156 citations). Ju Ik Moon has collaborated with scholars based in South Korea, China and Japan. Frequent co-authors include Choon Hyuck David Kwon, Jae‐Won Joh, Suk‐Koo Lee, In Seok Choi, Gyu‐Seong Choi, Gum O Jung, Jong Man Kim, J.M. Kim, Sang Eok Lee and Sung-Joo Kim. Their work appears in journals such as Surgical Endoscopy, Liver Transplantation, Transplantation Proceedings, Transplantation 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.

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