Linlin Ma

2.1k citations
83 papers · 1.6k · h-index 24

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Cancer-related molecular mechanisms research

Papers in

Linlin Ma

76 papers receiving 1.6k citations

Peers

Linlin Ma
Comparison fields: 5 of 119
  • Immunology 349
  • Cancer Research 150
  • Infectious Diseases 144
  • Complementary and alternative medicine 58
  • Epidemiology 217
Replace Faguang Jin with:
Faguang Jin China
Jing Guan China
William O. Osburn United States
Hiroo Toyoda Japan
Feifei Qiu China
Chun-Ling Liang China
Shijun He China
Weili Yang China
Yan Shi China
Linlin Ma relative to Faguang Jin China Faguang Jin's profile →
Citations per field
00.5×1.5×1.9×
Faguang Jin · 1×
Citations per year

Countries citing papers authored by Linlin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002115
2 2020101
3 201987
4 202186
5 202083
6 201778
7 200371
8 202060
9 201651
10 201948
11 201647
12 201845
13 202037
14 201836
15 201734
16 202133
17 202133
18 201430
19 201930
20 201530

About Linlin Ma

Linlin Ma is a scholar working on Epidemiology, Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine and Oncology, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), interferon and immune responses (6 papers), Cardiac Fibrosis and Remodeling (5 papers), Air Quality and Health Impacts (4 papers), Signaling Pathways in Disease (4 papers), Advanced Photocatalysis Techniques (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (349 citations), Cancer Research (150 citations), Infectious Diseases (144 citations), Complementary and alternative medicine (58 citations) and Epidemiology (217 citations). Linlin Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuhuan Li, Huiqiang Wang, Shaowei Wang, Haiyan Yan, Shuo Wu, Jian‐Dong Jiang, Lin Liang, Junwei Gai, Dan Zhou and Jin Hu. Their work appears in journals such as Virology Journal, Environmental Pollution, Acta Pharmaceutica Sinica B, Biochemical and Biophysical Research Communications and Medicine.

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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