Dong‐Yan Jin

28.9k citations
298 papers · 18.9k indexed · 7 hit papers · h-index 65

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 40
    • Viral Infections and Vectors 25
    • interferon and immune responses 45
    • T-cell and Retrovirus Studies 21

Dong‐Yan Jin

282 papers receiving 18.5k citations

Hit Papers

SARS-CoV-2 Omicron variant shows less efficient replication and fusion activity when compared with Delta variant in TMPRSS2-expressed cells 2021 · 257 citations
257201320262017202110002.0k3.0k

Peers

Dong‐Yan Jin
Comparison fields: 5 of 199
  • Infectious Diseases 6.4k
  • Modeling and Simulation 1.1k
  • Immunology 3.6k
  • Cancer Research 2.3k
  • Molecular Biology 7.3k
Replace Nancy J. Cox with:
Nancy J. Cox United States
H. Clifford Lane United States
Jianwei Wang China
Akiko Iwasaki United States
Zheng Zhang China
Jindřich Činátl Germany
Wen‐Ching Wang Taiwan
Li Liu China
Demetrios�� Spandidos Greece
Wenhui Li China
Dong‐Yan Jin relative to Nancy J. Cox United States Nancy J. Cox's profile →
Citations per field
00.5×1.6×
Nancy J. Cox · 1×
Citations per year

Countries citing papers authored by Dong‐Yan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Yan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20252
4 20252
5 20232
6 20233
7
Neutralization of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant by Sera From BNT162b2 or CoronaVac Vaccine Recipients
Hit paper breakdown →
2021234
8 2020380
9 201923
10 201746
11 201787
12 201741
13 2016134
14 20156
15 2008265
16 2008369
17 2007112
18 200690
19 200670
20 2005174

About Dong‐Yan Jin

Dong‐Yan Jin is a scholar working on Infectious Diseases, Immunology, Cancer Research, Cell Biology and Virology, having authored 298 papers that have together received 18.9k indexed citations. Recurring topics across this work include interferon and immune responses (45 papers), SARS-CoV-2 and COVID-19 Research (40 papers), Viral Infections and Vectors (25 papers), T-cell and Retrovirus Studies (21 papers), Ubiquitin and proteasome pathways (21 papers), Microtubule and mitosis dynamics (21 papers), MicroRNA in disease regulation (20 papers) and Cancer-related Molecular Pathways (16 papers). The work is most often cited by research in Infectious Diseases (6.4k citations), Modeling and Simulation (1.1k citations), Immunology (3.6k citations), Cancer Research (2.3k citations) and Molecular Biology (7.3k citations). Dong‐Yan Jin has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Chi‐Ping Chan, Lijuan Chen, Yan Bai, Meiyun Wang, Fei Tian, Tao Wei, Kit‐San Yuen, Kwok‐Yung Yuen, Zi‐Wei Ye and Sin‐Yee Fung. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, Emerging Microbes & Infections, The Journal of Immunology and Cancer Research.

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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