Lingjun Zhan

720 citations
29 papers · 505 · h-index 14

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 12
    • Respiratory viral infections research 8
    • Influenza Virus Research Studies 7
    • Mycobacterium research and diagnosis 4

Lingjun Zhan

28 papers receiving 498 citations

Peers

Lingjun Zhan
Comparison fields: 5 of 73
  • Endocrinology 91
  • Infectious Diseases 170
  • Immunology 169
  • Epidemiology 165
  • Parasitology 27
Replace Jian Q. Shao with:
Jian Q. Shao United States
Jun‐ichi Maeyama Japan
Ivonne Ceballos‐Olvera Mexico
Heidi Mikkelsen Denmark
Gregory Crimmins United States
Yukari Hagiwara Japan
Susanne zur Lage Germany
Nicole Wuscher France
Ravi P.N. Mishra India
Dewal Jani United States
Lingjun Zhan relative to Jian Q. Shao United States Jian Q. Shao's profile →
Citations per field
00.5×1.5×2.1×
Jian Q. Shao · 1×
Citations per year

Countries citing papers authored by Lingjun Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Lingjun Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200870
2 202051
3 201745
4 200834
5 202131
6 200930
7 201127
8 200926
9 201125
10 201024
11 202120
12 201819
13 202217
14 202016
15 202010
16 20149
17 20109
18 20208
19 20206
20 20166

About Lingjun Zhan

Lingjun Zhan is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Genetics, having authored 29 papers that have together received 505 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Respiratory viral infections research (8 papers), Influenza Virus Research Studies (7 papers), Mycobacterium research and diagnosis (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Immune Response and Inflammation (3 papers), Cancer therapeutics and mechanisms (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Endocrinology (91 citations), Infectious Diseases (170 citations), Immunology (169 citations), Epidemiology (165 citations) and Parasitology (27 citations). Lingjun Zhan has collaborated with scholars based in China, Taiwan and Belarus. Frequent co-authors include Chuan Qin, Jun Tang, Junli Li, Dongsheng Zhou, Ruifu Yang, Zhaobiao Guo, Mengmeng Sun, He Gao, Lianfeng Zhang and Wei Deng. Their work appears in journals such as Microbial Pathogenesis, PLoS ONE, Frontiers in Microbiology, Virus Research and Virology Journal.

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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