M. Su

725 citations
24 papers · 617 · h-index 15

Impact in

    • Genetic Neurodegenerative Diseases
    • Neurobiology and Insect Physiology Research
    • Developmental Biology and Gene Regulation
    • Mitochondrial Function and Pathology
    • Advanced biosensing and bioanalysis techniques
    • Congenital heart defects research

Papers in

M. Su

24 papers receiving 604 citations

Peers

M. Su
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 165
  • Molecular Biology 362
  • Developmental Neuroscience 20
  • Aging 7
  • Biomaterials 42
Replace Christopher I. Richards with:
Christopher I. Richards United States
Aaron C. Hirko United States
Soonbong Baek South Korea
Cátia D. F. Lopes Portugal
Xuechen Zhu China
Melanie Bausen Germany
Tania López-Hernández Spain
Yaling Liu China
Joshua M. Brown United States
Jiaxin Gong China
M. Su relative to Christopher I. Richards United States Christopher I. Richards's profile →
Citations per field
00.5×2.9×
Christopher I. Richards · 1×
Citations per year

Countries citing papers authored by M. Su

Since Specialization
Citations

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

Fields of papers citing papers by M. Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005147
2 199977
3 200255
4 201140
5 199138
6 201230
7 202129
8 200927
9 200825
10 202119
11 201416
12 200615
13 201015
14 202215
15 202114
16 200511
17 20219
18 20228
19 19977
20 20226

About M. Su

M. Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Genetics, having authored 24 papers that have together received 617 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Alzheimer's disease research and treatments (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Mitochondrial Function and Pathology (4 papers), Developmental Biology and Gene Regulation (3 papers), DNA Repair Mechanisms (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (165 citations), Molecular Biology (362 citations), Developmental Neuroscience (20 citations), Aging (7 citations) and Biomaterials (42 citations). M. Su has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Rolf Bodmer, Yi‐Chun Wu, Guey‐Jen Lee‐Chen, Chiung‐Mei Chen, Tyamagondlu V. Venkatesh, Linda Z. Holland, Nicholas D. Holland, Margaret Liu, Hsiu Mei Hsieh‐Li and Tsong‐Teh Kuo. Their work appears in journals such as PLoS ONE, Development Genes and Evolution, Journal of Alzheimer s Disease, Brain Behavior & Immunity - Health and Developmental Biology.

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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