Ningyi Jin

1.3k citations
71 papers · 908 · h-index 18

Impact in

Papers in

Ningyi Jin

68 papers receiving 895 citations

Peers

Ningyi Jin
Comparison fields: 5 of 80
  • Animal Science and Zoology 294
  • Infectious Diseases 451
  • Virology 80
  • Public Health, Environmental and Occupational Health 230
  • Genetics 233
Replace Selene Zárate with:
Selene Zárate Mexico
Gonzalo Moratorio Uruguay
Antonio V. Bordería France
Yoshihiro Kaku Japan
Antonio E. Garmendia United States
Ian H. Mendenhall Singapore
Charlotta Polacek Denmark
Xiuling Yu China
Oskar‐Rüger Kaaden Germany
Sejal Modha United Kingdom
Ningyi Jin relative to Selene Zárate Mexico Selene Zárate's profile →
Citations per field
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Selene Zárate · 1×
Citations per year

Countries citing papers authored by Ningyi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ningyi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202363
2 200761
3 201957
4 202149
5 201242
6 201838
7 202135
8 201831
9 202129
10 201929
11 201824
12 202224
13 202322
14 202021
15 201219
16 202019
17 200819
18 202218
19 202217
20 201917

About Ningyi Jin

Ningyi Jin is a scholar working on Infectious Diseases, Animal Science and Zoology, Public Health, Environmental and Occupational Health, Genetics and Molecular Biology, having authored 71 papers that have together received 908 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (28 papers), Viral gastroenteritis research and epidemiology (21 papers), Mosquito-borne diseases and control (18 papers), Virus-based gene therapy research (18 papers), Viral Infections and Vectors (16 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Vector-Borne Animal Diseases (6 papers) and Animal Disease Management and Epidemiology (6 papers). The work is most often cited by research in Animal Science and Zoology (294 citations), Infectious Diseases (451 citations), Virology (80 citations), Public Health, Environmental and Occupational Health (230 citations) and Genetics (233 citations). Ningyi Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huijun Lu, Ning Shi, Zhuo Ha, Changzhan Xie, Mingyao Tian, Fulong Nan, Jicheng Han, Xiao Li, J. R. Ren and Xinyu Zhuang. Their work appears in journals such as Viruses, Vector-Borne and Zoonotic Diseases, Frontiers in Microbiology, BMC Veterinary Research and Veterinary Microbiology.

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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