Minsun Chang

1.2k citations
46 papers · 965 indexed · h-index 17

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 12
    • Glutathione Transferases and Polymorphisms 10
    • Metabolism, Diabetes, and Cancer 4
    • Natural product bioactivities and synthesis 3
    • Estrogen and related hormone effects 18

Minsun Chang

46 papers receiving 940 citations

Peers

Minsun Chang
Comparison fields: 5 of 94
  • Toxicology 66
  • Cancer Research 160
  • Molecular Biology 588
  • Pharmacology 64
  • Genetics 203
Replace Xuemei Liu with:
Xuemei Liu China
Bandana Chakravarti India
Jagan M.R. Patlolla United States
Yung-Luen Shih Taiwan
Qunyi Li China
Chunhua Qin United States
Jin-Zhang Zeng China
Sarmistha Banerjee United States
Wen Jing Chung United States
Song Xu China
Minsun Chang relative to Xuemei Liu China Xuemei Liu's profile →
Citations per field
00.5×2.6×
Xuemei Liu · 1×
Citations per year

Countries citing papers authored by Minsun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Minsun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012221
2 2015110
3 201453
4 201249
5 201543
6 199837
7 201132
8 200131
9 199926
10 200523
11 201121
12 200321
13 201619
14 201518
15 199618
16 201417
17 200216
18 200815
19 200413
20 200713

About Minsun Chang

Minsun Chang is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Food Science and Toxicology, having authored 46 papers that have together received 965 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (18 papers), Genomics, phytochemicals, and oxidative stress (12 papers), Phytoestrogen effects and research (11 papers), Glutathione Transferases and Polymorphisms (10 papers), Botanical Research and Applications (4 papers), Bioactive Compounds and Antitumor Agents (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Toxicology (66 citations), Cancer Research (160 citations), Molecular Biology (588 citations), Pharmacology (64 citations) and Genetics (203 citations). Minsun Chang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Judy L. Bolton, Sylvie Y. Blond, Yun Seon Song, Richard B. van Breemen, Hee‐Doo Kim, Seung Hun Jeong, Eun Ji Lee, Xiyuan Liu, Sunyoung Lee and Eun Young Park. Their work appears in journals such as Chemical Research in Toxicology, Phytotherapy Research, Molecules, Bioorganic & Medicinal Chemistry Letters and Advances in experimental medicine and biology.

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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