Lin Jin

1.4k citations
33 papers · 737 · h-index 14

Impact in

    • Antimicrobial Peptides and Activities
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors

Papers in

Lin Jin

27 papers receiving 733 citations

Peers

Lin Jin
Comparison fields: 5 of 91
  • Microbiology 156
  • Infectious Diseases 274
  • Complementary and alternative medicine 49
  • Pharmacology 52
  • Parasitology 37
Replace Dedong Li with:
Dedong Li China
J. Christian Pérez United States
Janeusa Trindade de Souto Brazil
Alexander Batista-Duharte Brazil
Jessica C. S. Brown United States
Wildriss Viranaïcken France
Neeraj Khatri India
Yudong Cui China
Pascale Krejbich‐Trotot France
Ariaki Nagayama Japan
Lin Jin relative to Dedong Li China Dedong Li's profile →
Citations per field
00.5×3.1×
Dedong Li · 1×
Citations per year

Countries citing papers authored by Lin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Lin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016111
2 202085
3 202084
4 201881
5 202076
6 202359
7 202043
8 202131
9 201926
10 202222
11 202020
12 202018
13 201715
14 202213
15 202112
16 202110
17 20236
18 20255
19 20225
20 20253

About Lin Jin

Lin Jin is a scholar working on Infectious Diseases, Molecular Biology, Microbiology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 737 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (7 papers), COVID-19 Clinical Research Studies (7 papers), Viral Infections and Vectors (6 papers), Long-Term Effects of COVID-19 (4 papers), Biochemical and Structural Characterization (3 papers), Immune Response and Inflammation (3 papers), Influenza Virus Research Studies (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Microbiology (156 citations), Infectious Diseases (274 citations), Complementary and alternative medicine (49 citations), Pharmacology (52 citations) and Parasitology (37 citations). Lin Jin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ren Lai, Xiuwen Yan, Ning Luan, Yong‐Tang Zheng, Xuewei Bai, Zhiye Zhang, Mingqiang Rong, Jianhua Qin, Yaqing Wang and Zilei Duan. Their work appears in journals such as Antibiotics, Frontiers in Microbiology, Frontiers in Immunology, Postharvest Biology and Technology and Cell Research.

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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