Changbae Jin

3.4k citations
94 papers · 3.0k · h-index 28

Impact in

Papers in

Changbae Jin

94 papers receiving 2.9k citations

Peers

Changbae Jin
Comparison fields: 5 of 128
  • Biochemistry 314
  • Pharmacology 321
  • Complementary and alternative medicine 245
  • Pharmacology 475
  • Toxicology 96
Replace Masuko Kobori with:
Masuko Kobori Japan
Luzia Kalyne Almeida Moreira Leal Brazil
Kazimierz Głowniak Poland
Dalia M. Kopustinskienė Lithuania
A. Vanella Italy
Jeevan K. Prasain United States
Mira Jun South Korea
Soon Sung Lim South Korea
Valeria Sorrenti Italy
Amélia Teresinha Henriques Brazil
Changbae Jin relative to Masuko Kobori Japan Masuko Kobori's profile →
Citations per field
00.5×1.5×
Masuko Kobori · 1×
Citations per year

Countries citing papers authored by Changbae Jin

Since Specialization
Citations

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

Fields of papers citing papers by Changbae Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004273
2 2003265
3 2005201
4 2002134
5 2003124
6 2003123
7 2007114
8 200691
9 200370
10 200264
11 199861
12 200558
13 200658
14 201050
15 200848
16 201047
17 200243
18 200543
19 200543
20 200542

About Changbae Jin

Changbae Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Pharmacology and Food Science, having authored 94 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Receptor Mechanisms and Signaling (9 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Phytochemicals and Antioxidant Activities (8 papers), Botanical Research and Applications (7 papers), Natural product bioactivities and synthesis (7 papers), Calpain Protease Function and Regulation (7 papers) and Bee Products Chemical Analysis (6 papers). The work is most often cited by research in Biochemistry (314 citations), Pharmacology (321 citations), Complementary and alternative medicine (245 citations), Pharmacology (475 citations) and Toxicology (96 citations). Changbae Jin has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Yong Sup Lee, Hyoung Ja Kim, Yun Seon Song, Dong‐Hyun Kim, Chang‐Jin Lim, Eunhee Park, Yun Song, Jungsook Cho, Eui‐Ju Choi and Soo‐Yong Lee. Their work appears in journals such as Archives of Pharmacal Research, Bioorganic & Medicinal Chemistry Letters, Journal of Ethnopharmacology, Biomolecules & Therapeutics and Planta Medica.

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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