Isaac Kim

2.3k citations
62 papers · 915 · h-index 19

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Breast Cancer Treatment Studies 20
    • Beetle Biology and Toxicology Studies 4
    • HER2/EGFR in Cancer Research 8
    • Cancer Immunotherapy and Biomarkers 6

Isaac Kim

58 papers receiving 903 citations

Peers

Isaac Kim
Comparison fields: 5 of 92
  • Cancer Research 323
  • Oncology 310
  • Organic Chemistry 211
  • Pathology and Forensic Medicine 130
  • Inorganic Chemistry 68
Replace Kazuhide Nakamura with:
Kazuhide Nakamura Japan
Gareth Hughes United Kingdom
Chris Liang United States
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Jean Cui United States
Michael Goldbrunner Germany
Timothy J. Guzi United States
Vito Guagnano Switzerland
Jibing Liu China
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Isaac Kim relative to Kazuhide Nakamura Japan Kazuhide Nakamura's profile →
Citations per field
00.5×3.8×
Kazuhide Nakamura · 1×
Citations per year

Countries citing papers authored by Isaac Kim

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201993
2 202073
3 201852
4 199033
5 201132
6 201932
7 202130
8 199030
9 201729
10 202129
11 201828
12 201927
13 201625
14 201024
15 201924
16 201823
17 202121
18 201921
19 201719
20 201918

About Isaac Kim

Isaac Kim is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 62 papers that have together received 915 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (20 papers), Breast Lesions and Carcinomas (12 papers), HER2/EGFR in Cancer Research (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Breast Implant and Reconstruction (5 papers), Advanced Breast Cancer Therapies (5 papers), Prostate Cancer Treatment and Research (4 papers) and Beetle Biology and Toxicology Studies (4 papers). The work is most often cited by research in Cancer Research (323 citations), Oncology (310 citations), Organic Chemistry (211 citations), Pathology and Forensic Medicine (130 citations) and Inorganic Chemistry (68 citations). Isaac Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jeong Eon Lee, Seok Jin Nam, Jai Min Ryu, Seok Won Kim, Jonghan Yu, Se Kyung Lee, Kai Lang, Chaoqun Li, X. Peter Zhang and Hee Jun Choi. Their work appears in journals such as Frontiers in Oncology, The Journal of Urology, Breast Cancer Research and Treatment, Tetrahedron and Clinical Breast Cancer.

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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