Sijia Chen

4.2k citations
99 papers · 1.6k · h-index 26

Impact in

  • Immunology top 5%
    • Psoriasis: Treatment and Pathogenesis
    • interferon and immune responses
    • Spondyloarthritis Studies and Treatments

Papers in

Sijia Chen

88 papers receiving 1.6k citations

Peers

Sijia Chen
Comparison fields: 5 of 126
  • Immunology 427
  • Rheumatology 200
  • Cancer Research 167
  • Hematology 113
  • Molecular Biology 670
Replace Kazuko Uno with:
Kazuko Uno Japan
Matjaž Jeras Slovenia
Urban Švajger Slovenia
Margarita Hurtado-Nédelec France
Gholamhossein Hassanshahi Iran
Damo Xu United Kingdom
Mirta Giordano Argentina
Kozo Yasui Japan
Jun Muto Japan
Analía Trevani Argentina
Sijia Chen relative to Kazuko Uno Japan Kazuko Uno's profile →
Citations per field
00.5×5.0×
Kazuko Uno · 1×
Citations per year

Countries citing papers authored by Sijia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Sijia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020103
2 201667
3 202059
4 202358
5 201250
6 202250
7 201746
8 201943
9 201941
10 201841
11 201838
12 201138
13 201436
14 202235
15 201834
16 201931
17 202030
18 201929
19 202229
20 202229

About Sijia Chen

Sijia Chen is a scholar working on Molecular Biology, Immunology, Epidemiology, Rheumatology and Cancer Research, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (6 papers), Antimicrobial Peptides and Activities (6 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Cytomegalovirus and herpesvirus research (5 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Viral Infections and Immunology Research (4 papers), RNA modifications and cancer (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Immunology (427 citations), Rheumatology (200 citations), Cancer Research (167 citations), Hematology (113 citations) and Molecular Biology (670 citations). Sijia Chen has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Dominique Baeten, Nataliya Yeremenko, Iris C. Blijdorp, Andrea B. Maier, M. G. H. Van de Sande, Troy Noordenbos, Qinxue Dai, Junlu Wang, Zhaohua Zhong and Yueying Zhou. Their work appears in journals such as Nature Communications, Frontiers in Immunology, Viruses, Acta Pharmacologica Sinica and Animals.

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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