Lan Chen

1.8k citations
52 papers · 1.3k · h-index 21

Impact in

Papers in

Lan Chen

51 papers receiving 1.3k citations

Peers

Lan Chen
Comparison fields: 5 of 104
  • Infectious Diseases 209
  • Pulmonary and Respiratory Medicine 301
  • Molecular Biology 606
  • Developmental Neuroscience 33
  • Immunology 161
Replace Santosh Renuse with:
Santosh Renuse United States
Soumya Panigrahi United States
Liang Qin China
Linde Duprez Belgium
Xinqi Liu China
Nele Vanlangenakker Belgium
Hae Kyung Lee South Korea
Piotr Tymoszuk Austria
Beibei Wang China
Xunxiang Du United States
Lan Chen relative to Santosh Renuse United States Santosh Renuse's profile →
Citations per field
00.5×1.5×2.4×
Santosh Renuse · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003186
2 200885
3 201983
4 200264
5 201060
6 201158
7 201758
8 200757
9 200951
10 200943
11 201143
12 201140
13 202239
14 202132
15 200131
16 201828
17 201428
18 200223
19 201822
20 202320

About Lan Chen

Lan Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Infectious Diseases and Oncology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Ion Transport and Channel Regulation (5 papers), Prion Diseases and Protein Misfolding (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Neonatal Respiratory Health Research (4 papers), Immunotherapy and Immune Responses (3 papers), Cystic Fibrosis Research Advances (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Infectious Diseases (209 citations), Pulmonary and Respiratory Medicine (301 citations), Molecular Biology (606 citations), Developmental Neuroscience (33 citations) and Immunology (161 citations). Lan Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Sadis Matalon, Asta Jurkuvenaite, Suzanne Walker, Deborah Walker, Brian V. Falcone, James F. Collawn, Sha Ha, Ben Gross, Yanan Hu and Zsuzsa Bebők. Their work appears in journals such as Journal of Clinical Investigation, American Journal of Respiratory Cell and Molecular Biology, BMB Reports, Proceedings of the National Academy of Sciences and Journal of Medical Virology.

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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