Jae‐Seok Kim

6.7k citations
299 papers · 4.9k indexed · h-index 35

Impact in

Papers in

Jae‐Seok Kim

276 papers receiving 4.8k citations

Peers

Jae‐Seok Kim
Comparison fields: 5 of 171
  • Molecular Medicine 737
  • Applied Microbiology and Biotechnology 203
  • Infectious Diseases 1.4k
  • Clinical Biochemistry 436
  • Endocrinology 318
Replace Mehdi Goudarzi with:
Mehdi Goudarzi Iran
John D. Perry United Kingdom
Bing Gu China
Milan Kolář Czechia
W. Michael Dunne United States
Adrian Egli Switzerland
Cristina Costa Italy
Slade O. Jensen Australia
Bo Söderquist Sweden
Peter A. Lambert United Kingdom
Jae‐Seok Kim relative to Mehdi Goudarzi Iran Mehdi Goudarzi's profile →
Citations per field
00.5×3.9×
Mehdi Goudarzi · 1×
Citations per year

Countries citing papers authored by Jae‐Seok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Seok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Seok 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 Jae‐Seok Kim. The network helps show where Jae‐Seok Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20233
4 20233
5 202359
6 20237
7 202310
8 202216
9 20227
10 20221
11 20224
12
The effect of statins on mortality among patients with infection: umbrella review of meta-analyses
20214
13 20217
14 20201
15 201912
16 201168
17
Clinical Characteristics and Survival Analysis of Elderly Patients Undergoing Continuous Ambulatory Peritoneal Dialysis
20081
18 20011
19 200135
20 19995

About Jae‐Seok Kim

Jae‐Seok Kim is a scholar working on Molecular Medicine, Clinical Biochemistry, Infectious Diseases, Applied Microbiology and Biotechnology and Endocrinology, having authored 299 papers that have together received 4.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (42 papers), Antibiotic Resistance in Bacteria (37 papers), Bacterial Identification and Susceptibility Testing (35 papers), Viral gastroenteritis research and epidemiology (30 papers), Bacterial biofilms and quorum sensing (23 papers), Viral Infections and Immunology Research (17 papers), SARS-CoV-2 and COVID-19 Research (17 papers) and Animal Virus Infections Studies (12 papers). The work is most often cited by research in Molecular Medicine (737 citations), Applied Microbiology and Biotechnology (203 citations), Infectious Diseases (1.4k citations), Clinical Biochemistry (436 citations) and Endocrinology (318 citations). Jae‐Seok Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Wonkeun Song, Han-Sung Kim, Harshad Lade, Hyun Soo Kim, Chung‐Hak Lee, Kyu Man Lee, Seok Hoon Jeong, In-Soung Chang, Jae Il Shin and Keum Hwa Lee. Their work appears in journals such as Annals of Laboratory Medicine, Antibiotics, Cancer Research and Treatment, Journal of Korean Medical Science and Molecules.

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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