Jun Ma

3.1k citations
140 papers · 2.1k · h-index 24

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Neurology top 5%
    • Vascular Malformations Diagnosis and Treatment

Papers in

    • Glioma Diagnosis and Treatment 19
    • Vascular Malformations Diagnosis and Treatment 8

Jun Ma

131 papers receiving 2.1k citations

Peers

Jun Ma
Comparison fields: 5 of 146
  • Genetics 388
  • Neurology 197
  • Cancer Research 166
  • Epidemiology 275
  • Neurology 68
Replace Fumiaki Sato with:
Fumiaki Sato Japan
Wan Zhu China
Kar‐Ming Fung United States
Dan Jiang China
Guanghua Xiao United States
Hisashi Koga Japan
Mark Curtis United States
Antonio Taddei Italy
Jason M. Laramie United States
Peng Wei United States
Jun Ma relative to Fumiaki Sato Japan Fumiaki Sato's profile →
Citations per field
00.5×2.6×
Fumiaki Sato · 1×
Citations per year

Countries citing papers authored by Jun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011188
2 2014152
3 201482
4 200864
5 201363
6 201853
7 202051
8 201447
9 200847
10 201445
11 202145
12 202144
13 200643
14 201538
15 201935
16 202131
17 202130
18 200728
19 201628
20
Saikosaponin a protects TBI rats after controlled cortical impact and the underlying mechanism.
201627

About Jun Ma

Jun Ma is a scholar working on Genetics, Neurology, Signal Processing, Molecular Biology and Epidemiology, having authored 140 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Digital Filter Design and Implementation (10 papers), Advanced Adaptive Filtering Techniques (10 papers), Vascular Malformations Diagnosis and Treatment (8 papers), Numerical Methods and Algorithms (7 papers), MicroRNA in disease regulation (5 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Genetics (388 citations), Neurology (197 citations), Cancer Research (166 citations), Epidemiology (275 citations) and Neurology (68 citations). Jun Ma has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Tao Jiang, Kerstin Brismar, Paul Hansen, Maria A. Cassera, Georg Spaun, Shaghayegh Aliabadi‐Wahle, Chet W. Hammill, Clark C. Chen, Yinyan Wang and Suad Efendić. Their work appears in journals such as Journal of Neuro-Oncology, Neuro-Oncology, PLoS ONE, World Neurosurgery and Neuroradiology.

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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