Daohong Chen

1.1k citations
29 papers · 856 · h-index 14

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Physiology top 10%

Papers in

    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 5
    • Biosimilars and Bioanalytical Methods 3
    • T-cell and B-cell Immunology 3
    • Chronic Obstructive Pulmonary Disease (COPD) Research 4

Daohong Chen

27 papers receiving 844 citations

Peers

Daohong Chen
Comparison fields: 5 of 97
  • Immunology 264
  • Physiology 43
  • Immunology and Allergy 45
  • Oncology 184
  • Epidemiology 191
Replace Neelakshi R. Jog with:
Neelakshi R. Jog United States
Miguel Aguilar‐Santelises Sweden
Julia M. Ayala United States
Hong Mu United States
Jacqueline M. Tarrant United States
DW Kufe United States
Fabrice Malergue France
Adrian Keogh Switzerland
Concetta Pietropaolo Italy
Hanna Rokita Poland
Daohong Chen relative to Neelakshi R. Jog United States Neelakshi R. Jog's profile →
Citations per field
00.5×1.5×2.0×
Neelakshi R. Jog · 1×
Citations per year

Countries citing papers authored by Daohong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Daohong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013153
2 2004139
3 201392
4 200491
5 200478
6 200638
7 201236
8 200329
9 199923
10 201323
11 202121
12 202215
13 202315
14 200213
15 202012
16 201711
17 202310
18 20179
19 20198
20 19967

About Daohong Chen

Daohong Chen is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 856 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Biosimilars and Bioanalytical Methods (3 papers), T-cell and B-cell Immunology (3 papers), Statistical Methods in Clinical Trials (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (264 citations), Physiology (43 citations), Immunology and Allergy (45 citations), Oncology (184 citations) and Epidemiology (191 citations). Daohong Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Richard S. Blumberg, Takashi Nagaishi, Min Li, Xiao-Ming Yin, Hideki Iijima, Atsushi Nakajima, Poornima Bhat‐Nakshatri, Harikrishna Nakshatri, Sunil Badve and Chirayu Goswami. Their work appears in journals such as International Journal of COPD, American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Cellular and Molecular Medicine, Nature Medicine and PLoS ONE.

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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