Cong Jin

783 total citations
15 papers, 362 citations indexed

About

Cong Jin is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Cong Jin has authored 15 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 4 papers in Virology and 4 papers in Epidemiology. Recurrent topics in Cong Jin's work include Viral Infections and Vectors (8 papers), Viral Infections and Outbreaks Research (5 papers) and HIV Research and Treatment (4 papers). Cong Jin is often cited by papers focused on Viral Infections and Vectors (8 papers), Viral Infections and Outbreaks Research (5 papers) and HIV Research and Treatment (4 papers). Cong Jin collaborates with scholars based in China, United States and Australia. Cong Jin's co-authors include Mifang Liang, Dexin Li, Chuan Li, Zheng Xing, Shiwen Wang, Zhenqiang Bi, Jiandong Li, Xiaolin Jiang, Shujun Ding and Haiying Yin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Scientific Reports.

In The Last Decade

Cong Jin

14 papers receiving 355 citations

Peers

Cong Jin
Comparison fields: 5 of 52
  • Infectious Diseases 324
  • Ecology, Evolution, Behavior and Systematics 165
  • Global and Planetary Change 117
  • Public Health, Environmental and Occupational Health 71
  • Epidemiology 29
Replace Stephen Findlay‐Wilson with:
Stephen Findlay‐Wilson United Kingdom
Adel W. Salib Egypt
Farah Al‐Shorbaji United Kingdom
Ana Gligić Serbia
Massinissa Si Mehand Canada
Jean-François Saluzzo France
Peter Bloland United States
Haider M. Arishi Saudi Arabia
Céline Gommet France
Stephen Findlay‐Wilson United Kingdom View profile →
Citations per field, relative to Cong Jin
Cong Jin · 1×
Citations per year, relative to Cong Jin
Cong Jin · 1×

Countries citing papers authored by Cong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Jin. A scholar is included among the top collaborators of Cong Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cong Jin. Cong Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2 0
3 4
4 11
5 7
6 10
7 15
8 20
9
[Inclusion Bodies are Formed in SFTSV-infected Human Macrophages].
3
10 26
11
[Infection of the Severe Fever with Thrombocytopenia Syndrome Virus in Balb/C Mice and Hamsters].
1
12
Analysis of the meteorological conditions for the occurrence of hemorrhagic fever in Gannan
1
13 197
14
[Subcellular localization of severe fever with thrombocytopenia syndrome virus in macrophages].
1
15 64

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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