Chun Lu

2.5k citations
58 papers · 1.9k indexed · h-index 29

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 5%
    • Viral-associated cancers and disorders

Papers in

    • Viral-associated cancers and disorders 44
    • Cancer-related molecular mechanisms research 16

Chun Lu

57 papers receiving 1.9k citations

Peers

Chun Lu
Comparison fields: 5 of 83
  • Cancer Research 643
  • Oncology 922
  • Virology 99
  • Epidemiology 623
  • Immunology 298
Replace Wen-Shuz Yeow with:
Wen-Shuz Yeow United States
Yao Chang Taiwan
Sumita Bhaduri‐McIntosh United States
Felipe X. Pimentel‐Muiños Spain
Brian Skaug United States
Andrew L. Snow United States
Susan M. Kaech United States
John A. Feild United States
Raquel Blanco Spain
Seigo Terawaki Japan
Chun Lu relative to Wen-Shuz Yeow United States Wen-Shuz Yeow's profile →
Citations per field
00.5×7.2×
Wen-Shuz Yeow · 1×
Citations per year

Countries citing papers authored by Chun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018126
2 200698
3 201380
4 201480
5 201571
6 201768
7 201765
8 201364
9 201657
10 201854
11 201553
12 201151
13 202344
14 201742
15 200941
16 200541
17 201640
18 201740
19 201939
20 201938

About Chun Lu

Chun Lu is a scholar working on Oncology, Cancer Research, Virology, Epidemiology and Physiology, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (44 papers), Cytomegalovirus and herpesvirus research (18 papers), Cancer-related molecular mechanisms research (16 papers), Histiocytic Disorders and Treatments (16 papers), RNA modifications and cancer (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Herpesvirus Infections and Treatments (8 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Cancer Research (643 citations), Oncology (922 citations), Virology (99 citations), Epidemiology (623 citations) and Immunology (298 citations). Chun Lu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shou‐Jiang Gao, Qin Yan, Di Qin, Shuihong Yao, Jianzhong Zhu, Jae U. Jung, Wan Li, Xuemei Jia, Cong Wang and Xiangya Ding. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Cell Death and Differentiation, Oncogene and PLoS ONE.

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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