Ning Ma

22.9k citations
35 papers · 14.3k indexed · 1 hit paper · h-index 13

Impact in

  • Endocrinology top 0.5%
  • Ecology top 0.2%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions

Papers in

Ning Ma

34 papers receiving 14.1k citations

Hit Papers

BLAST+: architecture and applications 2009 · 13.9k citations
13.9k20092026201420204.0k8.0k12.0k

Peers

Ning Ma
Comparison fields: 5 of 184
  • Endocrinology 841
  • Ecology 3.5k
  • Molecular Medicine 633
  • Molecular Biology 7.8k
  • Plant Science 3.6k
Replace Shifu Chen with:
Shifu Chen China
Weizhong Li China
Mark Borodovsky United States
Yanqing Zhou China
Eric P. Nawrocki United States
Alexandre Lomsadze United States
Jia Gu China
Morgan N. Price United States
Jennifer R. Wortman United States
Stéphane Audic France
Ning Ma relative to Shifu Chen China Shifu Chen's profile →
Citations per field
00.5×10×15×17.6×
Shifu Chen · 1×
Citations per year

Countries citing papers authored by Ning Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20246
3 20245
4 20244
5 20233
6 202323
7 202217
8 20201
9 201945
10 201927
11 20181
12 201721
13 20171
14 201731
15 20161
16 20163
17 201210
18 20102
19
BLAST+: architecture and applications
Hit paper breakdown →
200913943
20 199210

About Ning Ma

Ning Ma is a scholar working on Hardware and Architecture, Computer Networks and Communications, Environmental Engineering, Signal Processing and Statistical and Nonlinear Physics, having authored 35 papers that have together received 14.3k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (11 papers), Environmental Impact and Sustainability (8 papers), Embedded Systems Design Techniques (7 papers), Video Coding and Compression Technologies (4 papers), Sustainability and Ecological Systems Analysis (4 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Memory and Neural Computing (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Endocrinology (841 citations), Ecology (3.5k citations), Molecular Medicine (633 citations), Molecular Biology (7.8k citations) and Plant Science (3.6k citations). Ning Ma has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Thomas Madden, George Coulouris, Huajiao Li, Jianglan Shi, Zhongkui Sun, Wei Xu, Li‐Rong Zheng, Ze Wang, Di Dong and Zhonghai Lu. Their work appears in journals such as Resources Conservation and Recycling, Environmental Science and Pollution Research, Scientific Reports, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Applied Optics.

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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