Hwi Young Kim

2.7k citations
58 papers · 1.7k indexed · 1 hit paper · h-index 20

Hwi Young Kim

54 papers receiving 1.7k citations

Hit Papers

Metabolic dysfunction-associated steatotic liver disease ...12720232026202420254080120

Peers

Hwi Young Kim
Comparison fields: 5 of 82
  • Hepatology 1.0k
  • Epidemiology 943
  • Pathology and Forensic Medicine 278
  • Cancer Research 188
  • Endocrinology, Diabetes and Metabolism 201
Replace Katharina Staufer with:
Katharina Staufer Austria
Jiayin Yang China
Simona Leoni Italy
Do Seon Song South Korea
Teiji Kuzuya Japan
Stuart Kendrick United Kingdom
Paul C.L. Choi Hong Kong
Yoshio Tokumoto Japan
Dawn M. Emick United States
Miwa Kawanaka Japan
Hwi Young Kim relative to Katharina Staufer Austria Katharina Staufer's profile →
Citations per field
00.5×
Katharina Staufer · 1×
Citations per year

Countries citing papers authored by Hwi Young Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hwi Young Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20231
4
Metabolic dysfunction-associated steatotic liver disease and risk of cardiovascular diseasebreakdown →
2023127
5 202324
6 20231
7 202152
8 202022
9 202017
10 202020
11 20196
12 201970
13 201815
14 201813
15 20179
16 201625
17 2016103
18 201421
19 201128
20 201013

About Hwi Young Kim

Hwi Young Kim is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (44 papers), Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Hepatitis B Virus Studies (13 papers), Liver Disease and Transplantation (11 papers), Diet, Metabolism, and Disease (9 papers), Hepatitis C virus research (8 papers), Alcohol Consumption and Health Effects (5 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Hepatology (1.0k citations), Epidemiology (943 citations) and Pathology and Forensic Medicine (278 citations). Hwi Young Kim has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Yoon Jun Kim, Jung‐Hwan Yoon, Jeong‐Hoon Lee, Hyo-Suk Lee, Su Jong Yu, Goh Eun Chung, Joong‐Won Park, Sang Youn Hwang, Joon Suk Kim and Won Kim. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

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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