Hak Yang Kim

69 papers receiving 1.6k citations

Peers

Hak Yang Kim
Comparison fields: 5 of 89
  • Hepatology 246
  • Gastroenterology 155
  • Surgery 646
  • Epidemiology 405
  • Genetics 328
Replace Gianmichele Meucci with:
Gianmichele Meucci Italy
P. Rolny Sweden
R. Pötzi Austria
Michael J. Burt New Zealand
Kwang Bum Cho South Korea
Mario Rizzetto Italy
David Rowbotham New Zealand
L Descos France
R E Pounder United Kingdom
Pinit Kullavanijaya Thailand
Hak Yang Kim relative to Gianmichele Meucci Italy Gianmichele Meucci's profile →
Citations per field
00.5×1.5×
Gianmichele Meucci · 1×
Citations per year

Countries citing papers authored by Hak Yang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hak Yang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007391
2 2001125
3 200488
4 200785
5 200959
6 200558
7 200758
8 200646
9 201337
10 200937
11 201537
12 201235
13 200335
14 200134
15 200830
16 201226
17 200124
18 200624
19
[Comparison of predictive factors related to the mortality and rebleeding caused by variceal bleeding: Child-Pugh score, MELD score, and Rockall score].
200222
20
[Effectiveness of triple therapy and quadruple therapy for Helicobacter pylori eradication].
200521

About Hak Yang Kim

Hak Yang Kim is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Hepatology and Gastroenterology, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (17 papers), Hepatitis B Virus Studies (10 papers), Gastric Cancer Management and Outcomes (9 papers), Hepatitis C virus research (8 papers), Liver Disease Diagnosis and Treatment (5 papers), Gastroesophageal reflux and treatments (5 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and Gastrointestinal disorders and treatments (3 papers). The work is most often cited by research in Hepatology (246 citations), Gastroenterology (155 citations), Surgery (646 citations), Epidemiology (405 citations) and Genetics (328 citations). Hak Yang Kim has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Myoung Kuk Jang, Kyung Ho Kim, Joon Yong Park, Woon Geon Shin, Jae Young Yoo, Jin Heon Lee, Hyoung Su Kim, In Sung Song, Dong Kyung Chang and Joo Sung Kim. Their work appears in journals such as Gut and Liver, Journal of Gastroenterology and Hepatology, Gastrointestinal Endoscopy, Journal of Medical Virology and Gastroenterology.

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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