Jing Ye

6.4k citations
192 papers · 4.5k indexed · h-index 38

Jing Ye

186 papers receiving 4.4k citations

Peers

Jing Ye
Comparison fields: 5 of 155
  • Cancer Research 845
  • Infectious Diseases 923
  • Immunology 860
  • Public Health, Environmental and Occupational Health 1.0k
  • Neurology 253
Replace Thottethodi Subrahmanya Keshava Prasad with:
Thottethodi Subrahmanya Keshava Prasad India
Chiou‐Feng Lin Taiwan
Song Wang China
Honglin Luo Canada
Shruti Sharma United States
Kazuyo Takeda United States
Laurence Fiette France
Hao Xu China
Harsha Gowda India
Min Zheng China
Jing Ye relative to Thottethodi Subrahmanya Keshava Prasad India Thottethodi Subrahmanya Keshava Prasad's profile →
Citations per field
00.5×2.5×
Thottethodi Subrahmanya Keshava Prasad · 1×
Citations per year

Countries citing papers authored by Jing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20249
3 20245
4 20241
5 20240
6 20231
7 20230
8 202322
9 202325
10 20235
11 20232
12 202336
13 202322
14 202284
15 201859
16 201646
17 201678
18 201610
19
DC-SIGN increases Japanese encephalitis virus infection.
20131
20
Detection of porcine circovirus type 2 (PCV2) in mosquitoes from pig farms by PCR.
201211

About Jing Ye

Jing Ye is a scholar working on Cancer Research, Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health and Neurology, having authored 192 papers that have together received 4.5k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (51 papers), Viral Infections and Vectors (32 papers), Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (24 papers), interferon and immune responses (20 papers), Circular RNAs in diseases (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Cancer Research (845 citations), Infectious Diseases (923 citations), Immunology (860 citations), Public Health, Environmental and Occupational Health (1.0k citations) and Neurology (253 citations). Jing Ye has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shengbo Cao, Huanchun Chen, Bibo Zhu, Usama Ashraf, Yunfeng Song, Zheng Chen, Hao Lin, Kuo‐Chen Chou, Wei Chen and Hua Tang. Their work appears in journals such as Journal of Virology, Viruses, Virology Journal, PLoS ONE and Frontiers in Immunology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026