Ke-Yue Ma

665 citations
15 papers · 443 · h-index 10

Impact in

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

Papers in

    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 9
    • Immunotherapy and Immune Responses 2
    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 3

Ke-Yue Ma

14 papers receiving 442 citations

Peers

Ke-Yue Ma
Comparison fields: 5 of 51
  • Immunology 250
  • Oncology 173
  • Virology 23
  • Cancer Research 41
  • Molecular Biology 178
Replace Susanne Oberle with:
Susanne Oberle Switzerland
Chungyong Han South Korea
Jinghai Wen United States
Alexey N. Davydov Czechia
Ellen Duong United States
D. Carbone United States
Aleksandra A. Watson United Kingdom
Mikiyo Nakata Japan
Jackie de Belin United Kingdom
Yanyang Chen China
Ke-Yue Ma relative to Susanne Oberle Switzerland Susanne Oberle's profile →
Citations per field
00.5×1.5×
Susanne Oberle · 1×
Citations per year

Countries citing papers authored by Ke-Yue Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ke-Yue Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018141
2 201961
3 202149
4 201642
5 201842
6 201829
7 201726
8 201820
9 201711
10 202311
11 20186
12 20223
13 20181
14 20221
15 20210

About Ke-Yue Ma

Ke-Yue Ma is a scholar working on Immunology, Oncology, Molecular Biology, Virology and Genetics, having authored 15 papers that have together received 443 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (9 papers), CAR-T cell therapy research (5 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Immunology (250 citations), Oncology (173 citations), Virology (23 citations), Cancer Research (41 citations) and Molecular Biology (178 citations). Ke-Yue Ma has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Ning Jiang, Alexandra A. Schonnesen, Chenfeng He, Chad M. Williams, Eric Sun, Weiping Jia, Mingliang Zhang, Ben S. Wendel, S. Gail Eckhardt and Zhihua Liu. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Nature Communications, Nature Methods and Science Immunology.

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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