Chaoya Ma

401 citations
11 papers · 321 · h-index 9

Impact in

    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research

Papers in

    • T-cell and Retrovirus Studies 3
    • Immune cells in cancer 3
    • Immune Cell Function and Interaction 3
    • Macrophage Migration Inhibitory Factor 2
    • Galectins and Cancer Biology 2
    • Cancer Immunotherapy and Biomarkers 2
    • Cytokine Signaling Pathways and Interactions 1

Chaoya Ma

10 papers receiving 318 citations

Peers

Chaoya Ma
Comparison fields: 5 of 50
  • Immunology 151
  • Oncology 154
  • Pathology and Forensic Medicine 38
  • Cancer Research 31
  • Pulmonary and Respiratory Medicine 54
Replace Diangang Chen with:
Diangang Chen China
Tsuyoshi Kuroda Japan
Maria V. McSharry United States
Kathrin Tarnanidis Germany
Yuxuan Che United States
Scott A. Lawrence United States
Zhenqian Wu China
Ge Qin China
Cuifeng Xia China
Yingying Sun China
Chaoya Ma relative to Diangang Chen China Diangang Chen's profile →
Citations per field
00.5×2×4×5.4×
Diangang Chen · 1×
Citations per year

Countries citing papers authored by Chaoya Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chaoya Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2016114
2 201744
3 201636
4 201728
5 202127
6 201724
7 201619
8 201713
9 201912
10 20174
11 20260

About Chaoya Ma

Chaoya Ma is a scholar working on Immunology, Oncology, Cell Biology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 321 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), Immune cells in cancer (3 papers), Immune Cell Function and Interaction (3 papers), Macrophage Migration Inhibitory Factor (2 papers), Galectins and Cancer Biology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Immunology (151 citations), Oncology (154 citations), Pathology and Forensic Medicine (38 citations), Cancer Research (31 citations) and Pulmonary and Respiratory Medicine (54 citations). Chaoya Ma has collaborated with scholars based in Japan, China and Indonesia. Frequent co-authors include Yoshihiro Komohara, Motohiro Takeya, Koji Ohnishi, Hasita Horlad, Yukio Fujiwara, Masao Matsuoka, Cheng Pan, Hiromu Yano, Yutaka Okuno and Yoshitaka Kikukawa. Their work appears in journals such as Cancer Science, Journal of the Japan Society of the Reticuloendothelial System, Medical Molecular Morphology, Toxicology in Vitro and BMC Urology.

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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