Jin Hae Kim

40 papers receiving 1.5k citations

Hit Papers

Progression of Monoclonal Gammopathy with Undetermined Si...20152026201820222015100200300400

Peers

Jin Hae Kim
Comparison fields: 5 of 118
  • Molecular Biology 880
  • Renewable Energy, Sustainability and the Environment 394
  • Hematology 353
  • Materials Chemistry 192
  • Nutrition and Dietetics 174
Replace Daniel R. Crooks with:
Daniel R. Crooks United States
M. T. Zabot France
Mikko O. Laukkanen Italy
Kersten Peldschus Germany
Kasper Bendix Johnsen Denmark
Jan Rosing Netherlands
Werner G. Purschke Germany
Yu Lu United States
Ming Qian China
Pearl Lee United States
Jin Hae Kim relative to Daniel R. Crooks United States Daniel R. Crooks's profile →
Citations per field
00.5×3.9×
Daniel R. Crooks · 1×
Citations per year

Countries citing papers authored by Jin Hae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jin Hae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Hae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Hae Kim. A scholar is included among the top collaborators of Jin Hae Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Hae Kim. Jin Hae Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
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4 0
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8 0
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NMR-based structural characterization of transthyretin in its aggregation-prone state
1
10 43
11 11
12 87
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Progression of Monoclonal Gammopathy with Undetermined Significance to Multiple Myeloma Diagnosed by Kidney Biopsy: A Case Reportbreakdown →
410
14 30
15 50
16 68
17 44
18 42
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Integration of 28nm MJT for 8∼16Gb level MRAM with full investigation of thermal stability
3
20
The Effect of Dysmenorrhea on Ovarian and Stress Hormone in Athletes to Menstrual Cycle Phase
0

About Jin Hae Kim

Jin Hae Kim is a scholar working on Renewable Energy, Sustainability and the Environment, Aging and Nutrition and Dietetics, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metalloenzymes and iron-sulfur proteins (12 papers), Protein Structure and Dynamics (8 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers). The work is most often cited by research in Hematology (353 citations), Renewable Energy, Sustainability and the Environment (394 citations) and Molecular Biology (880 citations). Jin Hae Kim has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include John L. Markley, Marco Tonelli, Ronnie O. Frederick, Hye In Kim, Ji Won Kim, Young Nam Kim, Kihyun Kım, Ghee Young Kwon, Hye Ryoun Jang and Jun Young Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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