Da Chen

612 citations
13 papers · 286 · h-index 9

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Wnt/β-catenin signaling in development and cancer 1
    • Natural product bioactivities and synthesis 1

Da Chen

12 papers receiving 286 citations

Peers

Da Chen
Comparison fields: 5 of 63
  • Physiology 31
  • Oncology 78
  • Cancer Research 41
  • Immunology 51
  • Geriatrics and Gerontology 7
Replace Antoni Domagała with:
Antoni Domagała Poland
Catarina R. Vieira Spain
Bilal Azakir Lebanon
Haidong Xu China
Nikhil Hebbar United States
Akira Tanimura Japan
Rebecca Dielschneider Canada
Longlong Wang China
Natalia M. Dworak United States
Zongshu Xian China
Da Chen relative to Antoni Domagała Poland Antoni Domagała's profile →
Citations per field
00.5×1.5×1.8×
Antoni Domagała · 1×
Citations per year

Countries citing papers authored by Da Chen

Since Specialization
Citations

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

Fields of papers citing papers by Da Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202069
2 201644
3 202038
4 201731
5 201331
6 201621
7 202119
8 201516
9 202011
10 20233
11
Study on the physico chemical properties of baicalin phospholipid complex
20012
12 20151
13 20260

About Da Chen

Da Chen is a scholar working on Oncology, Molecular Biology, Organic Chemistry, Pulmonary and Respiratory Medicine and Epidemiology, having authored 13 papers that have together received 286 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (2 papers), Herpesvirus Infections and Treatments (2 papers), Osteoarthritis Treatment and Mechanisms (1 paper), Cancer Research and Treatments (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Natural product bioactivities and synthesis (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Physiology (31 citations), Oncology (78 citations), Cancer Research (41 citations), Immunology (51 citations) and Geriatrics and Gerontology (7 citations). Da Chen has collaborated with scholars based in China, United States and India. Frequent co-authors include Youjia Cao, Cuizhu Zhang, Yaohui Liu, Songfang Wu, Liming Zhang, Shuang Pan, Bin He, Bo Ye, Ning Ma and Fengping Li. Their work appears in journals such as Molecular Therapy, Energy storage materials, Frontiers in Oncology, Biomedicine & Pharmacotherapy and Journal of Biological Chemistry.

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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