Sungbin Kim

576 citations
10 papers · 463 · h-index 8

Impact in

Papers in

Sungbin Kim

9 papers receiving 443 citations

Peers

Sungbin Kim
Comparison fields: 5 of 68
  • Applied Microbiology and Biotechnology 78
  • Biochemistry 179
  • Pathology and Forensic Medicine 288
  • Biological Psychiatry 25
  • Complementary and alternative medicine 28
Replace Fazal Imam Shahi with:
Fazal Imam Shahi Saudi Arabia
Katsuya Kuwata Japan
Satomi Yano Japan
G. Castagnetti Italy
Yoshitaka Kitao Japan
Yumiko Achiwa Japan
Kouichi Saeki Japan
Ayako Sugisawa Japan
Olga Teufelhofer Austria
Masao Hirose Japan
Sungbin Kim relative to Fazal Imam Shahi Saudi Arabia Fazal Imam Shahi's profile →
Citations per field
00.5×1.5×
Fazal Imam Shahi · 1×
Citations per year

Countries citing papers authored by Sungbin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sungbin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2000196
2
Characterization of early pulmonary hyperproliferation and tumor progression and their inhibition by black tea in a 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone-induced lung tumorigenesis model with A/J mice.
199777
3 199870
4 199959
5 201020
6 199615
7 199615
8 20217
9 20214
10 20220

About Sungbin Kim

Sungbin Kim is a scholar working on Pathology and Forensic Medicine, Surgery, Pharmacology, Organic Chemistry and Molecular Biology, having authored 10 papers that have together received 463 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (4 papers), Phytochemicals and Antioxidant Activities (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Infectious Aortic and Vascular Conditions (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper), Cancer Treatment and Pharmacology (1 paper), Pregnancy and preeclampsia studies (1 paper) and Esophageal and GI Pathology (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (78 citations), Biochemistry (179 citations), Pathology and Forensic Medicine (288 citations), Biological Psychiatry (25 citations) and Complementary and alternative medicine (28 citations). Sungbin Kim has collaborated with scholars based in United States and South Korea. Frequent co-authors include Chung S. Yang, Darren N. Seril, Theresa J. Smith, Guang‐Yu Yang, Mao-Jung Lee, Chuan Li, Jungil Hong, Jie Liao, Janelle M. Landau and Jie Liao. Their work appears in journals such as Cancer Letters, Carcinogenesis, Experimental Lung Research, Nutrition and Cancer and Medicina.

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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