Zhenling Ma

583 citations
23 papers · 384 · h-index 11

Impact in

    • Immune cells in cancer
    • interferon and immune responses
    • Cancer Cells and Metastasis
    • Peptidase Inhibition and Analysis

Papers in

Zhenling Ma

21 papers receiving 383 citations

Peers

Zhenling Ma
Comparison fields: 5 of 70
  • Immunology 120
  • Oncology 132
  • Cancer Research 55
  • Infectious Diseases 55
  • Molecular Biology 162
Replace Xiaolei Pei with:
Xiaolei Pei China
Asuka Kobayashi Japan
Runhua Hou United States
Martina Magni Italy
Adi Nagler Israel
Yoshiteru Murofushi Japan
Valérie Breton Canada
Shumei Ren United States
Lifang Cui China
Zhenling Ma relative to Xiaolei Pei China Xiaolei Pei's profile →
Citations per field
00.5×4.6×
Xiaolei Pei · 1×
Citations per year

Countries citing papers authored by Zhenling Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zhenling Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201682
2 201957
3 202140
4 202336
5 202322
6 201817
7 202116
8 202216
9 202213
10 202112
11 202111
12 202310
13 202010
14 20249
15 20239
16 20226
17 20225
18 20245
19 20224
20 20223

About Zhenling Ma

Zhenling Ma is a scholar working on Immunology, Molecular Biology, Oncology, Infectious Diseases and Cancer Research, having authored 23 papers that have together received 384 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), interferon and immune responses (6 papers), Signaling Pathways in Disease (3 papers), Chemokine receptors and signaling (3 papers), Cancer-related molecular mechanisms research (2 papers), Ovarian cancer diagnosis and treatment (2 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Immunology (120 citations), Oncology (132 citations), Cancer Research (55 citations), Infectious Diseases (55 citations) and Molecular Biology (162 citations). Zhenling Ma has collaborated with scholars based in China, Czechia and Hong Kong. Frequent co-authors include Wei Liu, Gaoliang Ouyang, Zhengjie Huang, Yaru Wu, Shanshan Xiong, Mimi Chen, Zhe Wang, Min Zhang, Dan Cui and Yingfu Liu. Their work appears in journals such as The Protein Journal, Cell Reports, International Journal of Molecular Sciences, Bioscience Reports and Cellular & Molecular Biology Letters.

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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