Daxin Chen

2.3k citations
72 papers · 1.9k · h-index 25

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Atherosclerosis and Cardiovascular Diseases
    • Immunotherapy and Immune Responses

Papers in

Daxin Chen

71 papers receiving 1.9k citations

Peers

Daxin Chen
Comparison fields: 5 of 115
  • Transplantation 83
  • Immunology 591
  • Hematology 215
  • Internal Medicine 54
  • Molecular Biology 755
Replace Xinguo Jiang with:
Xinguo Jiang United States
Hisanori Kosuge Japan
Noriaki Inamura Japan
Renta Hutabarat United States
Guihua Chen China
Maria Palmisano United States
Steven McClellan United States
Ting Zhao China
Daqing Wu United States
Sang‐Hyun Song South Korea
Daxin Chen relative to Xinguo Jiang United States Xinguo Jiang's profile →
Citations per field
00.5×7.7×
Xinguo Jiang · 1×
Citations per year

Countries citing papers authored by Daxin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Daxin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008228
2 1995204
3 2013135
4 200479
5 200876
6 199766
7 200862
8 200859
9 201550
10 200444
11 201039
12 200139
13 199936
14 199130
15 201330
16 201530
17 199830
18 201728
19 200628
20 199928

About Daxin Chen

Daxin Chen is a scholar working on Molecular Biology, Immunology, Surgery, Hematology and Genetics, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (11 papers), Xenotransplantation and immune response (8 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Cell Adhesion Molecules Research (7 papers), Platelet Disorders and Treatments (6 papers), Traditional Chinese Medicine Analysis (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). The work is most often cited by research in Transplantation (83 citations), Immunology (591 citations), Hematology (215 citations), Internal Medicine (54 citations) and Molecular Biology (755 citations). Daxin Chen has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Anthony Dorling, John H. McVey, Jonathan Backer, Robert I. Lechler, Morris F. White, Edward G. D. Tuddenham, Robert I. Lechler, Geoffrey Kemball‐Cook, Giovanna Lombardi and R. Pat Bucy. Their work appears in journals such as Transplantation, Journal of Ethnopharmacology, Arteriosclerosis Thrombosis and Vascular Biology, PLoS ONE and Blood.

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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