Chaoting Zhang

1.3k citations
39 papers · 846 · h-index 16

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 17
    • Cancer Immunotherapy and Biomarkers 10
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 5

Chaoting Zhang

38 papers receiving 837 citations

Peers

Chaoting Zhang
Comparison fields: 5 of 75
  • Oncology 390
  • Immunology 197
  • Microbiology 39
  • Surgery 163
  • Otorhinolaryngology 15
Replace Kirti Srivastava with:
Kirti Srivastava India
Ligia A. Pinto United States
Karsten Nielsen Denmark
Karen S. Keslar United States
Badreddine Sriha Tunisia
Ming‐Hsi Wang United States
Changting Meng United States
Naoko Tsuneyoshi Japan
Nengwei Zhang China
Chaoting Zhang relative to Kirti Srivastava India Kirti Srivastava's profile →
Citations per field
00.5×5.1×
Kirti Srivastava · 1×
Citations per year

Countries citing papers authored by Chaoting Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoting Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020112
2 201891
3 201658
4 202254
5 201853
6 201746
7 201435
8 201834
9 201627
10 201726
11 201823
12 202023
13 201922
14 202019
15 202219
16 201517
17 201715
18 202114
19 201814
20 201714

About Chaoting Zhang

Chaoting Zhang is a scholar working on Oncology, Immunology, Surgery, Epidemiology and Molecular Biology, having authored 39 papers that have together received 846 indexed citations. Recurring topics across this work include CAR-T cell therapy research (17 papers), Cancer Immunotherapy and Biomarkers (10 papers), Immune Cell Function and Interaction (8 papers), Cervical Cancer and HPV Research (5 papers), Immunotherapy and Immune Responses (5 papers), Esophageal Cancer Research and Treatment (3 papers), Head and Neck Cancer Studies (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Oncology (390 citations), Immunology (197 citations), Microbiology (39 citations), Surgery (163 citations) and Otorhinolaryngology (15 citations). Chaoting Zhang has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Zheming Lu, Yaqi Pan, Ruiping Xu, Zhisong He, Yang Ke, Hongchao Xiong, Chuanhai Guo, Hong Cai, Mengfei Liu and Ying Liu. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Scientific Reports, Frontiers in Immunology, The Journal of Pathology and Cancer Immunology Immunotherapy.

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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