J.M. Kim

832 citations
51 papers · 543 · h-index 14

Impact in

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

Papers in

    • Organ Transplantation Techniques and Outcomes 26
    • Liver Disease and Transplantation 22
    • Hepatocellular Carcinoma Treatment and Prognosis 6

J.M. Kim

49 papers receiving 532 citations

Peers

J.M. Kim
Comparison fields: 5 of 60
  • Transplantation 110
  • Hepatology 279
  • Surgery 305
  • Epidemiology 174
  • Oncology 77
Replace R. Kashyap with:
R. Kashyap United States
Ashokkumar Jain United States
Mohamed Akoad United States
Robert M. Esterl United States
S.K. Lee South Korea
Francisco Cigarroa United States
Okechukwu Ojogho United States
Devon John United States
Lao M Poland
David C. Wolf United States
J.M. Kim relative to R. Kashyap United States R. Kashyap's profile →
Citations per field
00.5×7.5×
R. Kashyap · 1×
Citations per year

Countries citing papers authored by J.M. Kim

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Kim. 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 J.M. Kim. The network helps show where J.M. Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside J.M. Kim, 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 J.M. Kim Line = papers co-authored together J.M. Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201440
2 201038
3 201237
4 201326
5 201025
6 201523
7 201020
8 201220
9 199520
10 201218
11 201017
12 201314
13 201014
14 201014
15 201312
16 201211
17 201211
18 201011
19 201011
20 201610

About J.M. Kim

J.M. Kim is a scholar working on Surgery, Hepatology, Epidemiology, Transplantation and Public Health, Environmental and Occupational Health, having authored 51 papers that have together received 543 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (26 papers), Liver Disease and Transplantation (22 papers), Renal Transplantation Outcomes and Treatments (11 papers), Liver Disease Diagnosis and Treatment (11 papers), Organ Donation and Transplantation (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cytomegalovirus and herpesvirus research (6 papers) and Polyomavirus and related diseases (5 papers). The work is most often cited by research in Transplantation (110 citations), Hepatology (279 citations), Surgery (305 citations), Epidemiology (174 citations) and Oncology (77 citations). J.M. Kim has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Choon Hyuck David Kwon, Jae‐Won Joh, Suk‐Koo Lee, Min‐Ho Shin, Seung Ju Kim, Ju Ik Moon, Gum O Jung, J.B. Park, Gyu‐Seong Choi and G.S. Kim. Their work appears in journals such as Transplantation Proceedings, HPB, Journal of Magnetism and Magnetic Materials, Physica B Condensed Matter and IEEE Network.

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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