Matthew P. Su

899 total citations
37 papers, 532 citations indexed

About

Matthew P. Su is a scholar working on Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Matthew P. Su has authored 37 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Public Health, Environmental and Occupational Health, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Matthew P. Su's work include Mosquito-borne diseases and control (16 papers), Neurobiology and Insect Physiology Research (12 papers) and Animal Behavior and Reproduction (10 papers). Matthew P. Su is often cited by papers focused on Mosquito-borne diseases and control (16 papers), Neurobiology and Insect Physiology Research (12 papers) and Animal Behavior and Reproduction (10 papers). Matthew P. Su collaborates with scholars based in Japan, United Kingdom and United States. Matthew P. Su's co-authors include Marta Andrés, Joerg T. Albert, Chun‐Hong Chen, Jason Somers, Anne GM Schilder, Jian‐Chiuan Li, Helen Blackshaw, Wei‐Liang Liu, Horng‐Dar Wang and Judit Bagi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Matthew P. Su

36 papers receiving 525 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew P. Su Japan 15 164 132 128 116 113 37 532
Andrew N. Bubak United States 14 33 0.2× 94 0.7× 94 0.7× 65 0.6× 77 0.7× 39 565
Marta Andrés United Kingdom 12 106 0.6× 214 1.6× 139 1.1× 73 0.6× 144 1.3× 21 457
Joshua I. Raji United States 9 96 0.6× 283 2.1× 68 0.5× 67 0.6× 196 1.7× 14 433
Román A. Corfas United States 4 168 1.0× 282 2.1× 103 0.8× 58 0.5× 196 1.7× 4 473
C.L. Wilcox United States 13 60 0.4× 180 1.4× 25 0.2× 274 2.4× 39 0.3× 14 875
Silvia Piccinotti United States 7 21 0.1× 132 1.0× 45 0.4× 106 0.9× 47 0.4× 9 393
Toh Hean Ch’ng United States 16 128 0.8× 242 1.8× 20 0.2× 363 3.1× 26 0.2× 24 937
L. A. Gerlinskaya Russia 12 59 0.4× 22 0.2× 55 0.4× 73 0.6× 17 0.2× 51 355
Catharine Boothroyd United States 11 112 0.7× 369 2.8× 52 0.4× 218 1.9× 89 0.8× 12 889
Alan J. Grant United States 19 95 0.6× 424 3.2× 146 1.1× 158 1.4× 403 3.6× 41 825

Countries citing papers authored by Matthew P. Su

Since Specialization
Citations

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

Fields of papers citing papers by Matthew P. Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew P. Su

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. Su. A scholar is included among the top collaborators of Matthew P. Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew P. Su. Matthew P. Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Su, Matthew P., Marta Andrés, Jason Somers, et al.. (2025). Using a female-specific isoform of doublesex to explore male-specific hearing in mosquitoes. iScience. 28(9). 113330–113330.
2.
Nakamura, Yukiko, et al.. (2025). Diversity and complexity of auditory representation in the hearing systems of Aedes aegypti mosquitoes. Science Advances. 11(23). eads2689–eads2689. 2 indexed citations
3.
Loh, W. K. W., et al.. (2025). cAMP-related second messenger pathways modulate hearing function in Aedes aegypti mosquitoes. iScience. 28(9). 113202–113202. 1 indexed citations
4.
Eberl, Daniel F., et al.. (2024). Differences in male Aedes aegypti and Aedes albopictus hearing systems facilitate recognition of conspecific female flight tones. iScience. 27(7). 110264–110264. 5 indexed citations
5.
Su, Matthew P., et al.. (2024). MACSFeD—a database of mosquito acoustic communication and swarming features. Database. 2024. 2 indexed citations
6.
Li, Ming, Nikolay P. Kandul, Ting Yang, et al.. (2024). Targeting sex determination to suppress mosquito populations. eLife. 12. 9 indexed citations
7.
Su, Matthew P., et al.. (2024). Genesis and regulation of C-terminal cyclic imides from protein damage. Proceedings of the National Academy of Sciences. 122(1). e2415976121–e2415976121. 8 indexed citations
8.
Nizamutdinov, Damir, et al.. (2023). Mechanisms of SARS-CoV-2-induced Encephalopathy and Encephalitis in COVID-19 Cases. SHILAP Revista de lepidopterología. 18. 2308800426–2308800426. 5 indexed citations
9.
Li, Ming, Nikolay P. Kandul, Ting Yang, et al.. (2023). Targeting sex determination to suppress mosquito populations. eLife. 12. 17 indexed citations
10.
Somers, Jason, Matthew P. Su, David Ellis, et al.. (2023). Hearing of malaria mosquitoes is modulated by a beta-adrenergic-like octopamine receptor which serves as insecticide target. Nature Communications. 14(1). 4338–4338. 16 indexed citations
11.
Liu, Wei‐Liang, Yuxuan Chen, Shiang Ning Leaw, et al.. (2022). Lab-scale characterization and semi-field trials of Wolbachia Strain wAlbB in a Taiwan Wolbachia introgressed Ae. aegypti strain. PLoS neglected tropical diseases. 16(1). e0010084–e0010084. 15 indexed citations
12.
Somers, Jason, Matthew P. Su, Judit Bagi, et al.. (2022). Hitting the right note at the right time: Circadian control of audibility in Anopheles mosquito mating swarms is mediated by flight tones. Science Advances. 8(2). eabl4844–eabl4844. 35 indexed citations
13.
Su, Matthew P. & Joerg T. Albert. (2022). Electrophysiological Measurements of Compound Action Potential Responses from the Antennal Nerve in Response to Stimulation. Cold Spring Harbor Protocols. 2023(4). pdb.prot108010–pdb.prot108010. 2 indexed citations
14.
Su, Matthew P., et al.. (2022). Serotonin modulation in the male Aedes aegypti ear influences hearing. Frontiers in Physiology. 13. 931567–931567. 14 indexed citations
15.
Li, Jian‐Chiuan, et al.. (2021). Generating mutant Aedes aegypti mosquitoes using the CRISPR/Cas9 system. STAR Protocols. 2(2). 100432–100432. 7 indexed citations
16.
Andrés, Marta, Matthew P. Su, Joerg T. Albert, & Lauren J. Cator. (2020). Buzzkill: targeting the mosquito auditory system. Current Opinion in Insect Science. 40. 11–17. 26 indexed citations
17.
Huang, Kai‐Ting, Jian‐Chiuan Li, Tzu‐Yang Lin, et al.. (2020). Vesicular transport mediates the uptake of cytoplasmic proteins into mitochondria in Drosophila melanogaster. Nature Communications. 11(1). 2592–2592. 62 indexed citations
18.
Schilder, Anne GM, Matthew P. Su, Helen Blackshaw, et al.. (2019). Hearing Protection, Restoration, and Regeneration: An Overview of Emerging Therapeutics for Inner Ear and Central Hearing Disorders. Otology & Neurotology. 40(5). 559–570. 62 indexed citations
19.
Schilder, Anne GM, et al.. (2019). Early phase trials of novel hearing therapeutics: Avenues and opportunities. Hearing Research. 380. 175–186. 18 indexed citations
20.
Su, Matthew P., et al.. (2018). Sex and species specific hearing mechanisms in mosquito flagellar ears. Nature Communications. 9(1). 3911–3911. 46 indexed citations

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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