Peirong Chen

1.1k total citations
22 papers, 816 citations indexed

About

Peirong Chen is a scholar working on Molecular Biology, Rheumatology and Surgery. According to data from OpenAlex, Peirong Chen has authored 22 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Rheumatology and 3 papers in Surgery. Recurrent topics in Peirong Chen's work include Systemic Lupus Erythematosus Research (4 papers), interferon and immune responses (3 papers) and Cell death mechanisms and regulation (3 papers). Peirong Chen is often cited by papers focused on Systemic Lupus Erythematosus Research (4 papers), interferon and immune responses (3 papers) and Cell death mechanisms and regulation (3 papers). Peirong Chen collaborates with scholars based in China, United States and Taiwan. Peirong Chen's co-authors include Siddharth Balachandran, Shoko Nogusa, Roshan J. Thapa, Alexei Degterev, Jenny L. Maki, Anthony Lerro, Glenn F. Rall, Mark Andrake, Hong Yang and Joseph Grimsby and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Cell.

In The Last Decade

Peirong Chen

20 papers receiving 809 citations

Peers

Peirong Chen
Comparison fields: 5 of 104
  • Molecular Biology 351
  • Immunology 213
  • Endocrine and Autonomic Systems 207
  • Physiology 148
  • Nutrition and Dietetics 135
Replace Yukiko Sakamoto with:
Yukiko Sakamoto Japan
Jennifer L. Stripay United States
Yihe Chen United States
Liqian Zhang China
Carol M. Aherne United States
Lauren E. Himmel United States
Young Soo Han United States
Ruo‐Lan Xiang China
Nathalie Burg United States
Lora L. Yanagisawa United States
Yukiko Sakamoto Japan View profile →
Citations per field, relative to Peirong Chen
Peirong Chen · 1×
Citations per year, relative to Peirong Chen
Peirong Chen · 1×

Countries citing papers authored by Peirong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Peirong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peirong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Peirong Chen. A scholar is included among the top collaborators of Peirong Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peirong Chen. Peirong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 4
5 11
6 10
7 48
8 4
9 6
10 4
11 109
12 260
13 33
14 19
15 280
16 12
17 5
18 1
19 0
20 3

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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