J.S. Kim

444 citations
16 papers · 370 · h-index 10

Impact in

  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
    • Adenosine and Purinergic Signaling
    • Folate and B Vitamins Research

Papers in

    • Biopolymer Synthesis and Applications 2
    • Advanced biosensing and bioanalysis techniques 1
    • Pancreatic function and diabetes 1

J.S. Kim

14 papers receiving 358 citations

Peers

J.S. Kim
Comparison fields: 5 of 81
  • Physiology 47
  • Rheumatology 68
  • Hepatology 29
  • Clinical Biochemistry 21
  • Biochemistry 18
Replace Reiko Tsutsumi with:
Reiko Tsutsumi Japan
Shanjun Huang China
Tsukasa Yamakawa Japan
Jeong-Eun Kwon South Korea
William L. Blake United States
Lijuan Shi China
Ruidong Li China
J.S. Kim relative to Reiko Tsutsumi Japan Reiko Tsutsumi's profile →
Citations per field
00.5×9.4×
Reiko Tsutsumi · 1×
Citations per year

Countries citing papers authored by J.S. Kim

Since Specialization
Citations

This map shows the geographic impact of J.S. 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.S. 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.S. Kim more than expected).

Fields of papers citing papers by J.S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 199368
2 199356
3 199452
4 199547
5 199345
6 201329
7 200916
8 201015
9 202211
10
Screening of antioxidative components from red ginseng saponin
199611
11 20218
12 19947
13
Effect of direct-fed microbials(DFM) on milk yield, rumen fermentation and microbial growth in lactation dairy cows
19984
14 20151
15
Toxicity Evaluation of Organochloride Pesticide, Endosulfan and its Metabolites Using Microalgae
20060
16 20250

About J.S. Kim

J.S. Kim is a scholar working on Molecular Biology, Surgery, Rheumatology, Hematology and Infectious Diseases, having authored 16 papers that have together received 370 indexed citations. Recurring topics across this work include Biopolymer Synthesis and Applications (2 papers), Folate and B Vitamins Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Pancreatic function and diabetes (1 paper), Diet, Metabolism, and Disease (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Ruminant Nutrition and Digestive Physiology (1 paper). The work is most often cited by research in Physiology (47 citations), Rheumatology (68 citations), Hepatology (29 citations), Clinical Biochemistry (21 citations) and Biochemistry (18 citations). J.S. Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Barry Shane, Karen Lowe, Hyung Rae Kim, Charles Osborne, Bi‐Fong Lin, J. C. Hsu, Min Won Lee, Bae Ho Park, Myung‐Kwan Han and Uh‐Hyun Kim. Their work appears in journals such as Journal of Biological Chemistry, Clinical Microbiology and Infection, Journal of Molecular and Cellular Cardiology, Clinical Radiology and Journal of Applied Microbiology.

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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