JW Kim

145 papers receiving 4.4k citations

JW Kim's Hit Papers

Loss of Autophagy Diminishes Pancreatic β Cell Mass and Function with Resultant Hyperglycemia 2008 · 554 citations
5540+6+13Years since publication4008001.2k

Peers

JW Kim
Comparison fields: 5 of 156
  • Endocrinology, Diabetes and Metabolism 730
  • Geriatrics and Gerontology 94
  • Epidemiology 907
  • Nephrology 167
  • Physiology 101
Replace Yutaka Osuga with:
Yutaka Osuga Japan
Wei Lu China
Tiantian Wang China
Yuri V. Bobryshev Australia
Pierre Gourdy France
Li‐Ling Wu China
Chunling Li China
Peter Pietschmann Austria
Masahiro Ito Japan
Yuji Taketani Japan
JW Kim relative to Yutaka Osuga Japan Yutaka Osuga's profile →
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Citations per year

Countries citing papers authored by JW Kim

Since Specialization
Citations

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

Fields of papers citing papers by JW Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemic obesity and type 2 diabetes in Asia
Hit paper breakdown →
20061226
2
Loss of Autophagy Diminishes Pancreatic β Cell Mass and Function with Resultant Hyperglycemia
Hit paper breakdown →
2008554
3 2014269
4 2007165
5 2016151
6 201796
7 201994
8 201976
9 200566
10 201064
11 201060
12 201660
13 202156
14 201352
15 202051
16 201947
17 200247
18 201746
19 201845
20 201744

About JW Kim

JW Kim is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Reproductive Medicine, having authored 164 papers that have together received 4.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (16 papers), Pancreatic function and diabetes (12 papers), Rheumatoid Arthritis Research and Therapies (11 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), PARP inhibition in cancer therapy (9 papers), Aquaculture disease management and microbiota (7 papers), COVID-19 Clinical Research Studies (6 papers) and BRCA gene mutations in cancer (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (730 citations), Geriatrics and Gerontology (94 citations), Epidemiology (907 citations), Nephrology (167 citations) and Physiology (101 citations). JW Kim has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Kun‐Ho Yoon, Jae‐Hyoung Cho, Yoon‐Hee Choi, Ho‐Young Son, Jin Hee Lee, Seung-Hyun Ko, Paul Zimmet, Jung‐Yoon Choe, Sung‐Hwan Park and Dong‐Sik Ham. Their work appears in journals such as Annals of Oncology, Diseases of Aquatic Organisms, Lara D. Veeken, Bio-Medical Materials and Engineering and Pharmaceuticals.

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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