Xiangjun Chen

2.0k citations
56 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Papers in

Xiangjun Chen

53 papers receiving 1.3k citations

Xiangjun Chen's Hit Papers

Akkermansia muciniphila phospholipid induces homeostatic immune responses 2022 · 293 citations
2930+1+2Years since publication50100150200250

Peers

Xiangjun Chen
Comparison fields: 5 of 120
  • Immunology 335
  • Immunology and Allergy 62
  • Biological Psychiatry 23
  • Statistical and Nonlinear Physics 96
  • Molecular Biology 472
Replace Ryuji Takahashi with:
Ryuji Takahashi Japan
Silke Neumann Germany
Hiroyuki Inoue Japan
Jesse Goyette Australia
Akira Nakanishi Japan
Andrei L. Kindzelskii United States
K. Imamura Japan
Manan Mehta United States
Tadakazu Maeda Japan
Laurent Héliot France
Xiangjun Chen relative to Ryuji Takahashi Japan Ryuji Takahashi's profile →
Citations per field
00.5×8.7×
Ryuji Takahashi · 1×
Citations per year

Countries citing papers authored by Xiangjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiangjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Akkermansia muciniphila phospholipid induces homeostatic immune responses
Hit paper breakdown →
2022293
2 2012220
3 201596
4 201676
5 202253
6 201347
7 199844
8 201933
9 201532
10 201828
11 200228
12 201728
13 201824
14 201523
15 202223
16 200918
17 202316
18 201715
19 202415
20 201014

About Xiangjun Chen

Xiangjun Chen is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Immunology, Statistical and Nonlinear Physics and Hematology, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (9 papers), Nonlinear Photonic Systems (8 papers), Immune Cell Function and Interaction (6 papers), Advanced Fiber Laser Technologies (6 papers), Force Microscopy Techniques and Applications (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Immunology (335 citations), Immunology and Allergy (62 citations), Biological Psychiatry (23 citations), Statistical and Nonlinear Physics (96 citations) and Molecular Biology (472 citations). Xiangjun Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wanli Liu, Ramnik J. Xavier, Daniel B. Graham, Pavel Filipčík, Munhyung Bae, Jon Clardy, Hera Vlamakis, Sung‐Moo Park, Chelsi D. Cassilly and Zehua Liu. Their work appears in journals such as Medicine, Nature, Advanced Science, eLife and Chinese Physics Letters.

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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