Jun-Min Shi

441 citations
13 papers · 330 · h-index 9

Impact in

  • Pharmacology top 10%
    • Phytochemistry and Bioactivity Studies
    • Alkaloids: synthesis and pharmacology
    • Pharmacological Effects of Natural Compounds
    • Berberine and alkaloids research

Papers in

Jun-Min Shi

13 papers receiving 327 citations

Peers

Jun-Min Shi
Comparison fields: 5 of 71
  • Pharmacology 71
  • Toxicology 18
  • Molecular Biology 177
  • Pharmacology 40
  • Organic Chemistry 67
Replace Mohammad Rais Mustafa with:
Mohammad Rais Mustafa Malaysia
Patompong Khaw-on Thailand
Zhongwen Luo China
Sharada H. Sharma India
Magdalena Dmoszyńska‐Graniczka Poland
Simone Badal Jamaica
Jeong‐Geon Mun South Korea
Junkai Liu China
Takaharu Ohtake Japan
Roberta Cotugno Italy
Jun-Min Shi relative to Mohammad Rais Mustafa Malaysia Mohammad Rais Mustafa's profile →
Citations per field
00.5×2.7×
Mohammad Rais Mustafa · 1×
Citations per year

Countries citing papers authored by Jun-Min Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Min Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Min Shi. 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 Jun-Min Shi. The network helps show where Jun-Min Shi may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201187
2 201363
3 202138
4 200934
5 201628
6 201226
7 201218
8 201417
9 20198
10 20245
11 20193
12 20232
13 20251

About Jun-Min Shi

Jun-Min Shi is a scholar working on Molecular Biology, Geriatrics and Gerontology, Epidemiology, Plant Science and Cancer Research, having authored 13 papers that have together received 330 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (2 papers), ATP Synthase and ATPases Research (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Autophagy in Disease and Therapy (2 papers), Traditional and Medicinal Uses of Annonaceae (1 paper), MicroRNA in disease regulation (1 paper), Machine Learning in Bioinformatics (1 paper) and Synthesis and Biological Activity (1 paper). The work is most often cited by research in Pharmacology (71 citations), Toxicology (18 citations), Molecular Biology (177 citations), Pharmacology (40 citations) and Organic Chemistry (67 citations). Jun-Min Shi has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Dongmei Zhang, Wen‐Cai Ye, Ren‐Wang Jiang, Xiao‐Jun Huang, Ying Wang, Wei‐Min Chen, Chun‐Tao Che, Liangliang Bai, Guo‐Cai Wang and Bing‐Xin Zhao. Their work appears in journals such as Organic Letters, Experimental Neurology, Acta Pharmaceutica Sinica B, Talanta and Food and Chemical Toxicology.

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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