Jun Luo

1.9k citations
98 papers · 1.5k · h-index 21

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 32
    • Cytomegalovirus and herpesvirus research 32
    • RNA modifications and cancer 8

Jun Luo

96 papers receiving 1.5k citations

Peers

Jun Luo
Comparison fields: 5 of 92
  • Cancer Research 278
  • Epidemiology 479
  • Parasitology 94
  • Animal Science and Zoology 131
  • Cardiology and Cardiovascular Medicine 217
Replace Yongxiu Yao with:
Yongxiu Yao United Kingdom
Yingli Shang China
Junji Xing China
Penny Clarke United States
Roghiyh Aliyari United States
Xiaojuan Chi China
Koji Onomoto Japan
Jayashree M. Paranjape United States
Vira Bitko United States
Keith W. Jarosinski United States
Jun Luo relative to Yongxiu Yao United Kingdom Yongxiu Yao's profile →
Citations per field
00.5×1.5×2.3×
Yongxiu Yao · 1×
Citations per year

Countries citing papers authored by Jun Luo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008125
2 201176
3 201657
4 200849
5 202146
6 201445
7 201444
8 200541
9 201336
10 201935
11 201734
12 201333
13 200828
14 200827
15 201027
16 201927
17 201026
18 201025
19 201722
20 201122

About Jun Luo

Jun Luo is a scholar working on Epidemiology, Molecular Biology, Cancer Research, Parasitology and Infectious Diseases, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (32 papers), Cytomegalovirus and herpesvirus research (32 papers), Cancer-related molecular mechanisms research (10 papers), Mosquito-borne diseases and control (9 papers), Viral Infections and Immunology Research (8 papers), RNA modifications and cancer (8 papers), Animal Virus Infections Studies (7 papers) and Animal Disease Management and Epidemiology (7 papers). The work is most often cited by research in Cancer Research (278 citations), Epidemiology (479 citations), Parasitology (94 citations), Animal Science and Zoology (131 citations) and Cardiology and Cardiovascular Medicine (217 citations). Jun Luo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Man Teng, Gaiping Zhang, Liang‐Hu Qu, Hui Zhou, Yongxiu Yao, Venugopal Nair, Yujie Chen, Liming Ma, Jian‐You Liao and Jianming Fan. Their work appears in journals such as Viruses, Virus Genes, Veterinary Microbiology, Virology and Scientific Reports.

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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