Jeong‐a Kim

90 papers receiving 5.7k citations

Jeong‐a Kim's Hit Papers

Role of Mitochondrial Dysfunction in Insulin Resistance 2008 · 827 citations
8270+6+13Years since publication4008001.2k

Peers

Jeong‐a Kim
Comparison fields: 5 of 139
  • Biochemistry 430
  • Endocrinology, Diabetes and Metabolism 821
  • Physiology 1.3k
  • Cardiology and Cardiovascular Medicine 801
  • Geriatrics and Gerontology 117
Replace Monica Montagnani with:
Monica Montagnani Italy
Shigetada Furukawa Japan
Tsuyoshi Goto Japan
Masanori Iwaki Japan
Armando R. Tovar Mexico
Tzong‐Shyuan Lee Taiwan
Wei‐Wen Kuo Taiwan
Philippe Lefèbvre France
Ryszard Korbut Poland
Sandra T. Davidge Canada
Jeong‐a Kim relative to Monica Montagnani Italy Monica Montagnani's profile →
Citations per field
00.5×1.6×
Monica Montagnani · 1×
Citations per year

Countries citing papers authored by Jeong‐a Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeong‐a Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reciprocal Relationships Between Insulin Resistance and Endothelial Dysfunction
Hit paper breakdown →
20061305
2
Role of Mitochondrial Dysfunction in Insulin Resistance
Hit paper breakdown →
2008827
3 2007300
4 2011262
5 2007235
6 2007189
7 2016186
8 2013162
9 2012105
10 2010101
11 201199
12 200199
13 200688
14 200984
15 200580
16 201379
17 201375
18 201474
19 200566
20 201855

About Jeong‐a Kim

Jeong‐a Kim is a scholar working on Molecular Biology, Physiology, Epidemiology, Immunology and Surgery, having authored 93 papers that have together received 5.8k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (11 papers), Vibrio bacteria research studies (9 papers), Adipose Tissue and Metabolism (8 papers), Pancreatic function and diabetes (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Bacterial biofilms and quorum sensing (5 papers), Tea Polyphenols and Effects (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Biochemistry (430 citations), Endocrinology, Diabetes and Metabolism (821 citations), Physiology (1.3k citations), Cardiology and Cardiovascular Medicine (801 citations) and Geriatrics and Gerontology (117 citations). Jeong‐a Kim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Michael J. Quon, Monica Montagnani, Kwang Kon Koh, James R. Sowers, Yongzhong Wei, Daniel Hwang, Hyun-Ju Jang, Seung Hwan Han, Joo Young Lee and Maria Assunta Potenza. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetes, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

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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