Lan Chen

932 citations
30 papers · 524 indexed · h-index 12

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Virus-based gene therapy research

Papers in

    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 2
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 2

Lan Chen

29 papers receiving 516 citations

Peers

Lan Chen
Comparison fields: 5 of 82
  • Immunology 128
  • Genetics 136
  • Cancer Research 63
  • Industrial and Manufacturing Engineering 33
  • Oncology 101
Replace Fu‐Gang Zhu with:
Fu‐Gang Zhu United States
Kerstin Böhm Germany
Hsin-Yu Chang Taiwan
Michelle Kriner United States
Hirohito Abo Japan
Angelo Ferrari Italy
Ying-De Wang China
Maykel Arias Spain
Jiang Chang China
Axel Dignaß Germany
Lan Chen relative to Fu‐Gang Zhu United States Fu‐Gang Zhu's profile →
Citations per field
00.5×5.5×
Fu‐Gang Zhu · 1×
Citations per year

Countries citing papers authored by Lan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011100
2 201853
3 202040
4 201337
5 200236
6 201134
7 201732
8 201625
9 201018
10 202118
11 202318
12 202113
13 202211
14 20239
15 20179
16 20139
17 20158
18 20198
19 20157
20 20186

About Lan Chen

Lan Chen is a scholar working on Immunology, Cancer Research, Industrial and Manufacturing Engineering, Dermatology and Pathology and Forensic Medicine, having authored 30 papers that have together received 524 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Immunotherapy and Immune Responses (3 papers), Recycling and Waste Management Techniques (2 papers), Virus-based gene therapy research (2 papers), T-cell and B-cell Immunology (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Immunology (128 citations), Genetics (136 citations), Cancer Research (63 citations), Industrial and Manufacturing Engineering (33 citations) and Oncology (101 citations). Lan Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Aracely García‐García, Kelly M. McMasters, Heshan Sam Zhou, Di Qi, Xiao‐Mei Rao, Humberto Rodríguez‐Rocha, Wen Li, Jorge G. Gómez-Gutiérrez, Daoxin Wang and Suzanne Walker. Their work appears in journals such as Journal of Environmental Science and Health Part A, Frontiers in Pharmacology, Scientific Reports, Lupus and Oncology 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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