Ke-Yue Ma

644 citations
15 papers · 424 indexed · h-index 9
  • Immunology top 10%
    • 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
    • HIV Research and Treatment 2
    • Cancer Genomics and Diagnostics 2
    • Single-cell and spatial transcriptomics 3

Ke-Yue Ma

14 papers receiving 422 citations

Peers

Ke-Yue Ma
Comparison fields: 5 of 51
  • Immunology 270
  • Oncology 183
  • Virology 22
  • Cancer Research 44
  • Molecular Biology 178
Replace Susanne Oberle with:
Susanne Oberle Switzerland
Nourredine Himoudi United Kingdom
Alexey N. Davydov Czechia
Yanyang Chen China
Chungyong Han South Korea
Ellen Duong United States
Jinghai Wen United States
D. Carbone United States
Zhengbin Lu United States
Jackie de Belin United Kingdom
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-authorship network

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 20238
2 20221
3 20221
4 202146
5 20210
6 201961
7 20185
8 201842
9 2018133
10 20181
11 201819
12 201828
13 201711
14 201726
15 201642

About Ke-Yue Ma

Ke-Yue Ma is a scholar working on Aging, Immunology, Virology, Oncology and Cancer Research, having authored 15 papers that have together received 424 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), HIV Research and Treatment (2 papers), Immunotherapy and Immune Responses (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Immunology (270 citations), Oncology (183 citations), Virology (22 citations), Cancer Research (44 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, Eric Sun, Mingliang Zhang, Weiping Jia, Ben S. Wendel, S. Gail Eckhardt, Zhihua Liu and Amy Brock. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Nature Methods, Scientific Reports and Trends in cancer.

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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