Min Jin

575 citations
8 papers · 424 · 1 hit paper · h-index 5

Impact in

  • Neurology top 10%
    • Long-Term Effects of COVID-19
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Min Jin

8 papers receiving 407 citations

Min Jin's Hit Papers

Rhabdomyolysis as Potential Late Complication Associated with COVID-19 2020 · 257 citations
2570+2+4Years since publication50100150200250

Peers

Min Jin
Comparison fields: 5 of 77
  • Neurology 172
  • Infectious Diseases 167
  • Hepatology 38
  • Complementary and alternative medicine 35
  • Critical Care and Intensive Care Medicine 17
Replace Elizabeth Zheng with:
Elizabeth Zheng United States
Ke Xie China
Babak Ebrahimi Iran
Ayşe Nur Torun Türkiye
Sui Ma China
Yongwen Feng China
Yumin Li China
Ilhamjaya Patellongi Indonesia
Ha Nee Jang South Korea
Min Jin relative to Elizabeth Zheng United States Elizabeth Zheng's profile →
Citations per field
00.5×1.5×2.0×
Elizabeth Zheng · 1×
Citations per year

Countries citing papers authored by Min Jin

Since Specialization
Citations

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

Fields of papers citing papers by Min Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Rhabdomyolysis as Potential Late Complication Associated with COVID-19
Hit paper breakdown →
2020257
2 200767
3 201350
4 201923
5 201118
6 20134
7 20253
8 20172

About Min Jin

Min Jin is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Hepatology, Molecular Biology and Surgery, having authored 8 papers that have together received 424 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Viral Infections and Immunology Research (2 papers), Insect and Pesticide Research (1 paper), Long-Term Effects of COVID-19 (1 paper), Diabetes Treatment and Management (1 paper), Bacteriophages and microbial interactions (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Neurology (172 citations), Infectious Diseases (167 citations), Hepatology (38 citations), Complementary and alternative medicine (35 citations) and Critical Care and Intensive Care Medicine (17 citations). Min Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qiaoxia Tong, Jùnwén Lǐ, Xinwei Wang, Zhiqiang Shen, Fuhuan Chao, Ming Yang, Junwen Li, Zhiqiang Chen, Shurong Liu and Mingyue Sun. Their work appears in journals such as Chinese Journal of Integrative Medicine, Scientific Reports, Antiviral Research, Virus Genes and Emerging infectious diseases.

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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