Feng Ma

7.6k citations
116 papers · 5.5k indexed · 2 hit papers · h-index 35

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 1%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • interferon and immune responses 23
    • Immune Response and Inflammation 14
    • MicroRNA in disease regulation 14
    • Cancer-related molecular mechanisms research 14

Feng Ma

110 papers receiving 5.5k citations

Hit Papers

The microRNA miR-29 controls innate and adaptive immune responses to intracellular bacterial infection by targeting interferon-γ 2011 · 542 citations
5422009202620142020200400600

Peers

Feng Ma
Comparison fields: 5 of 132
  • Cancer Research 2.1k
  • Immunology 2.1k
  • Molecular Biology 2.7k
  • Infectious Diseases 437
  • Oncology 607
Replace Jin Mo Park with:
Jin Mo Park United States
Jorge Henao‐Mejia United States
Frederick J. Sheedy Ireland
Richard C. Duke United States
Tiffany Horng United States
Bart Everts Netherlands
Chengjiang Gao China
Karim C. El Kasmi United States
Franco Di Padova Switzerland
Helmut Holtmann Germany
Feng Ma relative to Jin Mo Park United States Jin Mo Park's profile →
Citations per field
00.5×1.5×2.4×
Jin Mo Park · 1×
Citations per year

Countries citing papers authored by Feng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20241
5 20237
6 20229
7 20224
8 20216
9 201879
10 201823
11 201825
12 201824
13 201615
14 201621
15 201626
16 20153
17 2015111
18 201333
19 2010211
20 200920

About Feng Ma

Feng Ma is a scholar working on Immunology, Cancer Research, Molecular Biology, Hepatology and Oncology, having authored 116 papers that have together received 5.5k indexed citations. Recurring topics across this work include interferon and immune responses (23 papers), RNA modifications and cancer (15 papers), RNA Research and Splicing (15 papers), MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (14 papers), Immune Response and Inflammation (14 papers), Selenium in Biological Systems (9 papers) and Trace Elements in Health (8 papers). The work is most often cited by research in Cancer Research (2.1k citations), Immunology (2.1k citations), Molecular Biology (2.7k citations), Infectious Diseases (437 citations) and Oncology (607 citations). Feng Ma has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Xuetao Cao, Xingguang Liu, Jin Hou, Li Lin, Zhugang Wang, Pin Wang, Nan Li, Hangping Yao, Huazhang An and Sheng Xu. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Oncology Reports, EMBO Reports and Cell Reports.

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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