Mark A. Hoon

15.8k total citations · 9 hit papers
52 papers, 10.9k citations indexed

About

Mark A. Hoon is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Dermatology. According to data from OpenAlex, Mark A. Hoon has authored 52 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 24 papers in Sensory Systems and 16 papers in Dermatology. Recurrent topics in Mark A. Hoon's work include Dermatology and Skin Diseases (16 papers), Olfactory and Sensory Function Studies (15 papers) and Ion Channels and Receptors (14 papers). Mark A. Hoon is often cited by papers focused on Dermatology and Skin Diseases (16 papers), Olfactory and Sensory Function Studies (15 papers) and Ion Channels and Receptors (14 papers). Mark A. Hoon collaborates with scholars based in United States, United Kingdom and Germany. Mark A. Hoon's co-authors include Charles S. Zuker, Nicholas J. P. Ryba, Jayaram Chandrashekar, Elliot Adler, Santosh K. Mishra, Greg Nelson, Yifeng Zhang, Luxin Feng, Wei Guo and Xiaoke Chen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mark A. Hoon

50 papers receiving 10.6k citations

Hit Papers

Mammalian Sweet Taste Receptors 1999 2026 2008 2017 2001 2006 2002 2000 2000 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Hoon United States 32 7.4k 6.7k 3.9k 2.1k 2.0k 52 10.9k
Nicholas J. P. Ryba United States 35 9.8k 1.3× 8.3k 1.2× 4.9k 1.3× 3.0k 1.4× 2.7k 1.4× 62 13.1k
Taryn J. Earley United States 10 1.5k 0.2× 6.7k 1.0× 302 0.1× 3.3k 1.5× 2.5k 1.2× 10 10.1k
Hiroaki Matsunami United States 50 4.8k 0.7× 5.8k 0.9× 2.5k 0.7× 3.5k 1.6× 2.4k 1.2× 138 9.3k
Karel Talavera Belgium 41 1.5k 0.2× 4.4k 0.6× 281 0.1× 1.9k 0.9× 1.9k 0.9× 99 6.8k
Wolfgang Meyerhof Germany 67 8.5k 1.1× 6.5k 1.0× 4.7k 1.2× 1.7k 0.8× 3.7k 1.9× 225 13.1k
Yuzo Ninomiya Japan 53 8.0k 1.1× 6.5k 1.0× 3.6k 0.9× 944 0.4× 1.2k 0.6× 187 9.4k
Matt Petrus United States 21 975 0.1× 4.7k 0.7× 351 0.1× 2.6k 1.2× 2.7k 1.4× 24 8.7k
Stephen D. Roper United States 53 6.8k 0.9× 5.8k 0.9× 3.8k 1.0× 2.0k 0.9× 2.1k 1.0× 129 9.0k
Gina M. Story United States 19 1.6k 0.2× 6.4k 1.0× 149 0.0× 3.3k 1.5× 1.4k 0.7× 27 8.5k
Andrea Peier United States 22 1.1k 0.1× 4.4k 0.7× 199 0.1× 2.4k 1.1× 1.5k 0.7× 32 6.7k

Countries citing papers authored by Mark A. Hoon

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Hoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Hoon. 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 Mark A. Hoon. The network helps show where Mark A. Hoon may publish in the future.

Co-authorship network of co-authors of Mark A. Hoon

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Hoon. A scholar is included among the top collaborators of Mark A. Hoon 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 Mark A. Hoon. Mark A. Hoon 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.
Bell, Andrew M., Allen C. Dickie, M. Kucharczyk, et al.. (2024). Deep sequencing of Phox2a nuclei reveals five classes of anterolateral system neurons. Proceedings of the National Academy of Sciences. 121(23). e2314213121–e2314213121. 9 indexed citations
2.
Wang, Huikun, Rodolfo J. Flores, Aaron Limoges, et al.. (2024). Prefrontal cortical dynorphin peptidergic transmission constrains threat-driven behavioral and network states. Neuron. 112(12). 2062–2078.e7. 13 indexed citations
3.
Gu, Xinglong, et al.. (2023). Neurons in the caudal ventrolateral medulla mediate descending pain control. Nature Neuroscience. 26(4). 594–605. 10 indexed citations
4.
Klein, Amanda H., Hans Jürgen Solinski, Nathalie M. Malewicz, et al.. (2021). Pruriception and neuronal coding in nociceptor subtypes in human and nonhuman primates. eLife. 10. 33 indexed citations
5.
Tseng, Pang‐Yen & Mark A. Hoon. (2021). Interactions of the Neuro‒Immune‒Stromal Triad in Itch. Journal of Investigative Dermatology. 142(1). 42–46. 3 indexed citations
6.
Xu, Junji, Peter Zanvit, Lei Hu, et al.. (2020). The Cytokine TGF-β Induces Interleukin-31 Expression from Dermal Dendritic Cells to Activate Sensory Neurons and Stimulate Wound Itching. Immunity. 53(2). 371–383.e5. 81 indexed citations
7.
Beas, B. Sofia, Xinglong Gu, Yan Leng, et al.. (2020). A ventrolateral medulla-midline thalamic circuit for hypoglycemic feeding. Nature Communications. 11(1). 6218–6218. 27 indexed citations
8.
Vara, Hugo, Carlos Fernández‐Peña, Cruz Morenilla‐Palao, et al.. (2019). Expression of the cold thermoreceptor TRPM8 in rodent brain thermoregulatory circuits. The Journal of Comparative Neurology. 529(1). 234–256. 49 indexed citations
9.
Huang, Jing, Erika Polgár, Hans Jürgen Solinski, et al.. (2018). Circuit dissection of the role of somatostatin in itch and pain. Nature Neuroscience. 21(5). 707–716. 170 indexed citations
10.
Szczot, Marcin, Leah Pogorzala, Hans Jürgen Solinski, Mark A. Hoon, & Alexander T. Chesler. (2018). Cell Type Specific Splicing of Piezo2 Regulates Mechanotransduction. Biophysical Journal. 114(3). 115a–115a.
11.
Szczot, Marcin, Leah Pogorzala, Hans Jürgen Solinski, et al.. (2017). Cell-Type-Specific Splicing of Piezo2 Regulates Mechanotransduction. Cell Reports. 21(10). 2760–2771. 97 indexed citations
12.
Chen, Ran, Mark A. Hoon, & Xiaoke Chen. (2016). The coding of cutaneous temperature in the spinal cord. Nature Neuroscience. 19(9). 1201–1209. 115 indexed citations
13.
Yarmolinsky, David A., Yueqing Peng, Leah Pogorzala, et al.. (2016). Coding and Plasticity in the Mammalian Thermosensory System. Neuron. 92(5). 1079–1092. 127 indexed citations
14.
Hoon, Mark A., et al.. (2015). Response Properties of a Newly Identified Tristratified Narrow Field Amacrine Cell in the Mouse Retina. PLoS ONE. 10(9). e0137702–e0137702. 5 indexed citations
15.
Tränkner, Dimitri, et al.. (2014). Population of sensory neurons essential for asthmatic hyperreactivity of inflamed airways. Proceedings of the National Academy of Sciences. 111(31). 11515–11520. 176 indexed citations
16.
Mishra, Santosh K., Dragan Maric, Krisztián Kaszás, et al.. (2014). Molecular Signatures of Mouse TRPV1-Lineage Neurons Revealed by RNA-Seq Transcriptome Analysis. Journal of Pain. 15(12). 1338–1359. 86 indexed citations
17.
Mishra, Santosh K. & Mark A. Hoon. (2013). The Cells and Circuitry for Itch Responses in Mice. Science. 340(6135). 968–971. 369 indexed citations breakdown →
18.
Zhang, Yifeng, et al.. (2003). The Receptors for Mammalian Sweet and Umami Taste. Cell. 115(3). 255–266. 974 indexed citations breakdown →
19.
Chandrashekar, Jayaram, Mark A. Hoon, Elliot Adler, et al.. (2000). T2Rs Function as Bitter Taste Receptors. Cell. 100(6). 703–711. 1097 indexed citations breakdown →
20.
Adler, Elliot, et al.. (2000). A Novel Family of Mammalian Taste Receptors. Cell. 100(6). 693–702. 1045 indexed citations breakdown →

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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