Lan Chen

951 citations
31 papers · 557 · h-index 13

Impact in

Papers in

    • RNA modifications and cancer 3
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Reproductive System and Pregnancy 2
    • IL-33, ST2, and ILC Pathways 2

Lan Chen

29 papers receiving 547 citations

Peers

Lan Chen
Comparison fields: 5 of 81
  • Immunology 118
  • Genetics 131
  • Cancer Research 61
  • Biotechnology 39
  • Industrial and Manufacturing Engineering 37
Replace Hirohito Abo with:
Hirohito Abo Japan
Kerstin Böhm Germany
Qian Zheng China
Ying-De Wang China
Bei Wu China
Ann Dansercoer Belgium
Gholam Ali Kardar Iran
Luis Miguel Guachalla Germany
Axel Dignaß Germany
Ahmad Al‐Dissi Canada
Lan Chen relative to Hirohito Abo Japan Hirohito Abo's profile →
Citations per field
00.5×10×17×
Hirohito Abo · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011101
2 201854
3 202041
4 201140
5 200238
6 201338
7 201734
8 201627
9 202326
10 201020
11 202120
12 202214
13 202114
14 202310
15 20139
16 20179
17 20158
18 20198
19 20157
20 20216

About Lan Chen

Lan Chen is a scholar working on Molecular Biology, Immunology, Cancer Research, Epidemiology and Genetics, having authored 31 papers that have together received 557 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Immune Cell Function and Interaction (3 papers), RNA modifications and cancer (3 papers), Recycling and Waste Management Techniques (2 papers), T-cell and B-cell Immunology (2 papers), Reproductive System and Pregnancy (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Immunology (118 citations), Genetics (131 citations), Cancer Research (61 citations), Biotechnology (39 citations) and Industrial and Manufacturing Engineering (37 citations). Lan Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Di Qi, Kelly M. McMasters, Heshan Sam Zhou, Xiao‐Mei Rao, Wen Li, Daoxin Wang, Aracely García‐García, Humberto Rodríguez‐Rocha, Jorge G. Gómez-Gutiérrez and Suzanne Walker. Their work appears in journals such as Frontiers in Pharmacology, Journal of Environmental Science and Health Part A, The Journal of Dermatology, Renal Failure and Oncogene.

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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