Jing Jin

3.6k citations
65 papers · 2.3k indexed · 2 hit papers · h-index 24
Topics
HIV Research and Treatment (16 papers)Influenza Virus Research Studies (12 papers)Virus-based gene therapy research (8 papers)

In The Last Decade

Jing Jin

63 papers receiving 2.3k citations

Hit Papers

Nirsevimab for Prevention of Hospitalizations Due to RSV ...20232026202420252023202550100150

Peers

Jing Jin
Comparison fields: 5 of 112
  • Epidemiology 839
  • Molecular Biology 691
  • Infectious Diseases 630
  • Virology 555
  • Public Health, Environmental and Occupational Health 505
Replace Zehava Grossman with:
Zehava Grossman Israel
Masanori Kameoka Japan
Barbara S. Schnierle Germany
Yue Chen China
Pierre‐Olivier Vidalain France
Ryan S. Noyce Canada
Ralf Altmeyer France
Alexander N. Freiberg United States
Nir Paran Israel
Shalini Sharma India
Jing Jin relative to Zehava Grossman Israel Zehava Grossman's profile →
Citations per field
00.5×12×
Zehava Grossman · 1×
Citations per year

Countries citing papers authored by Jing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Jin. A scholar is included among the top collaborators of Jing 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 Jing Jin. Jing Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 9
4 18
5 4
6
Nirsevimab for Prevention of Hospitalizations Due to RSV in Infantsbreakdown →
175
7 5
8 4
9 0
10 8
11 48
12 14
13 30
14 19
15 159
16
Immunization response of enterovirus 71 whole virus inactivation antigen combined with PA adjuvant by nasal mucosa in mice
1
17 17
18 36
19 6
20 86

About Jing Jin

Jing Jin is a scholar working on Virology, Epidemiology and Immunology, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), Influenza Virus Research Studies (12 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Virology (555 citations), Infectious Diseases (630 citations) and Epidemiology (839 citations). Jing Jin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Walther Mothes, Nathan M. Sherer, Peng Zhong, Ronald C. Montelaro, Graham Simmons, Markus R. Wenk, Guanghou Shui, David E. Ott, Pradeep D. Uchil and Robin Chan. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.

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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