Bin Ma

107 papers receiving 1.9k citations

Peers

Bin Ma
Comparison fields: 5 of 147
  • Neurology 104
  • Genetics 232
  • Cellular and Molecular Neuroscience 147
  • Developmental Neuroscience 31
  • Sensory Systems 36
Replace Zheng Liu with:
Zheng Liu China
Jong Hyuk Kim South Korea
Haiyan Tan United States
Weiguo Li China
Zhenhua Feng China
N. Nagai Japan
Allen Goodman United States
Kousaku Okubo Japan
Walter Daems Netherlands
Hisashi Koga Japan
Bin Ma relative to Zheng Liu China Zheng Liu's profile →
Citations per field
00.5×1.5×2.4×
Zheng Liu · 1×
Citations per year

Countries citing papers authored by Bin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017170
2
Using Cross-Entity Inference to Improve Event Extraction
2011157
3 200986
4 200785
5 200672
6 200662
7 201061
8 200659
9 201453
10 202349
11 201148
12 200745
13 201144
14 201034
15 201734
16 202333
17 201531
18 202029
19 202028
20 202128

About Bin Ma

Bin Ma is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Immunology and Surgery, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vagus Nerve Stimulation Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immunotherapy and Immune Responses (5 papers), Genetic Neurodegenerative Diseases (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Rice Cultivation and Yield Improvement (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Neurology (104 citations), Genetics (232 citations), Cellular and Molecular Neuroscience (147 citations), Developmental Neuroscience (31 citations) and Sensory Systems (36 citations). Bin Ma has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Manfred Rohde, Werner Lindenmaier, Kurt E.J. Dittmar, Naoko Tanese, Jianmin Yao, Yu Hong, Jianfeng Zhang, Guodong Zhou, Qiaoming Zhu and Moses V. Chao. Their work appears in journals such as European Journal of Oncology Nursing, Scientific Reports, Frontiers in Cellular and Infection Microbiology, Cells and Journal of Wind Engineering and Industrial Aerodynamics.

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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