Chengwei Peng

724 citations
20 papers · 389 · h-index 10

Impact in

    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer-related molecular mechanisms research

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • Pancreatic and Hepatic Oncology Research 4
    • Colorectal Cancer Treatments and Studies 3
    • CAR-T cell therapy research 2
    • Protein Degradation and Inhibitors 3
    • Melanoma and MAPK Pathways 2

Chengwei Peng

19 papers receiving 383 citations

Peers

Chengwei Peng
Comparison fields: 5 of 73
  • Oncology 138
  • Cancer Research 65
  • Immunology 88
  • Molecular Biology 158
  • Geriatrics and Gerontology 6
Replace Victoria M.-Y. Wang with:
Victoria M.-Y. Wang United Kingdom
Maria Liousia United States
Joshua D. Greenlee United States
Lucia Minoli Italy
Maria Livia Sassano Belgium
Xiaojia Huang China
Wenlong Zhang China
Elizabeth A. Loughran United States
Marzieh Naseri Iran
Victoria R. Zellmer United States
Chengwei Peng relative to Victoria M.-Y. Wang United Kingdom Victoria M.-Y. Wang's profile →
Citations per field
00.5×6.6×
Victoria M.-Y. Wang · 1×
Citations per year

Countries citing papers authored by Chengwei Peng

Since Specialization
Citations

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

Fields of papers citing papers by Chengwei Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015118
2 201260
3 201735
4 201832
5 201532
6 202028
7 201816
8 201616
9 201516
10 202015
11 20215
12 20244
13 20233
14 20252
15 20142
16 20152
17 20201
18 20221
19 20241
20 20190

About Chengwei Peng

Chengwei Peng is a scholar working on Oncology, Molecular Biology, Surgery, Immunology and Genetics, having authored 20 papers that have together received 389 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Protein Degradation and Inhibitors (3 papers), Colorectal Cancer Treatments and Studies (3 papers), CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (2 papers), Melanoma and MAPK Pathways (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (138 citations), Cancer Research (65 citations), Immunology (88 citations), Molecular Biology (158 citations) and Geriatrics and Gerontology (6 citations). Chengwei Peng has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Jeffrey A. Sosman, Douglas B. Johnson, Avani Verma, James A. McNew, Joseph E. Faust, Deirdre Jill Cohen, Zhe Su, Chuanqing Zhang, Fei Ye and Shilin Zhao. Their work appears in journals such as Journal of Clinical Oncology, Gene, Traffic, RSC Advances and mSystems.

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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