Weiwei Chen

744 citations
42 papers · 474 · h-index 12

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Chemokine receptors and signaling
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Cancer Immunotherapy and Biomarkers 4
    • Inflammatory Biomarkers in Disease Prognosis 3
    • Cancer Treatment and Pharmacology 2
    • Colorectal Cancer Screening and Detection 2

Weiwei Chen

41 papers receiving 469 citations

Peers

Weiwei Chen
Comparison fields: 5 of 87
  • Oncology 178
  • Immunology 94
  • Cancer Research 40
  • Nephrology 13
  • Pulmonary and Respiratory Medicine 46
Replace Ayumi Niwa with:
Ayumi Niwa Japan
Tomoyuki Moriya Japan
Laia Bonjoch Spain
Wenqing Hu China
Mitsuyoshi Okazaki Japan
Dongmei Chi China
Bangjie Chen China
Liqi Bi China
Weiwei Chen relative to Ayumi Niwa Japan Ayumi Niwa's profile →
Citations per field
00.5×
Ayumi Niwa · 1×
Citations per year

Countries citing papers authored by Weiwei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022128
2 202439
3 201229
4 201928
5 201424
6 202220
7 202219
8 201718
9 202213
10 202112
11 201912
12 202112
13 202211
14 202110
15 201810
16 20228
17 20207
18 20237
19 20226
20 20186

About Weiwei Chen

Weiwei Chen is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Immunology and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 474 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Treatment and Pharmacology (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Oncology (178 citations), Immunology (94 citations), Cancer Research (40 citations), Nephrology (13 citations) and Pulmonary and Respiratory Medicine (46 citations). Weiwei Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shaohui Tang, Yan Zhang, Xin‐Yuan Guan, Liliangzi Guo, Shaowei Dong, Bo Li, Liangliang Xu, Cai‐Ning Zhao, Feng‐Ming Kong and Zhiyuan Xu. Their work appears in journals such as Frontiers in Oncology, World Journal of Surgical Oncology, Gene, The Journal of Rheumatology and Frontiers in Nutrition.

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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