Siying Ma

622 citations
19 papers · 445 · h-index 10

Impact in

    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • Microbial Metabolic Engineering and Bioproduction
    • RNA Interference and Gene Delivery
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Biosensors and Analytical Detection

Papers in

Siying Ma

15 papers receiving 419 citations

Peers

Siying Ma
Comparison fields: 5 of 69
  • Molecular Biology 339
  • Biomedical Engineering 121
  • Nuclear Energy and Engineering 1
  • Genetics 55
  • Hepatology 12
Replace Mitsuru Ando with:
Mitsuru Ando Japan
Bao Wang China
Sun Woo Hong South Korea
Krzysztof Dariusz Pluta Poland
Piper A. Rawding United States
Haoyu Tang China
Fangqi Peng China
Yuyu Tan China
Danny Wilbie Netherlands
Molly E. Martin United States
Siying Ma relative to Mitsuru Ando Japan Mitsuru Ando's profile →
Citations per field
00.5×4.1×
Mitsuru Ando · 1×
Citations per year

Countries citing papers authored by Siying Ma

Since Specialization
Citations

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

Fields of papers citing papers by Siying Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2011113
2 201282
3 201155
4 202248
5 201631
6 202330
7 201129
8 202417
9 202311
10 202210
11 20238
12 20245
13 20242
14 20252
15 20242
16 20250
17 20240
18 20240
19 20240

About Siying Ma

Siying Ma is a scholar working on Molecular Biology, Biomedical Engineering, Atmospheric Science, Electrical and Electronic Engineering and Global and Planetary Change, having authored 19 papers that have together received 445 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Meteorological Phenomena and Simulations (2 papers), Advanced MRI Techniques and Applications (2 papers), Climate variability and models (2 papers), Cardiac Imaging and Diagnostics (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Molecular Biology (339 citations), Biomedical Engineering (121 citations), Nuclear Energy and Engineering (1 citation), Genetics (55 citations) and Hepatology (12 citations). Siying Ma has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Jingdong Tian, Ishtiaq Saaem, Kevin P. White, Nicolas Nègre, Hui Gong, Hon Fai Chan, Kam W. Leong, Huan Liang, Ya‐Ping Zhang and Huifang Liu. Their work appears in journals such as Journal of Clinical Medicine, Nature Communications, Sensors and Actuators B Chemical, European Polymer Journal and Journal of Geophysical Research Atmospheres.

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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