Mark J. Zylka

1.1k total citations
11 papers, 733 citations indexed

About

Mark J. Zylka is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark J. Zylka has authored 11 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark J. Zylka's work include Pain Mechanisms and Treatments (7 papers), Ion Channels and Receptors (3 papers) and Ion channel regulation and function (2 papers). Mark J. Zylka is often cited by papers focused on Pain Mechanisms and Treatments (7 papers), Ion Channels and Receptors (3 papers) and Ion channel regulation and function (2 papers). Mark J. Zylka collaborates with scholars based in United States, Finland and Italy. Mark J. Zylka's co-authors include Eric S. McCoy, Bonnie Taylor‐Blake, Lipin Loo, Sarah E. Street, Jeremy M. Simon, Lei Xing, Jiami Guo, E.S. Anton, Jesse K. Niehaus and Nathaniel A. Sowa and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Mark J. Zylka

11 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark J. Zylka United States	9	388	191	165	144	133	11	733
Hyun-Hee Ryu South Korea	13	336 0.9×	70 0.4×	161 1.0×	64 0.4×	30 0.2×	25	682
Miriam Fernández Spain	16	310 0.8×	67 0.4×	225 1.4×	64 0.4×	66 0.5×	29	726
Synthia H. Sun Taiwan	18	301 0.8×	103 0.5×	239 1.4×	66 0.5×	453 3.4×	27	904
Barbara J. Wilcox United States	13	345 0.9×	165 0.9×	297 1.8×	72 0.5×	43 0.3×	15	921
Raquel B. Dias Portugal	13	280 0.7×	173 0.9×	362 2.2×	35 0.2×	184 1.4×	16	832
Steven B. Condliffe Italy	14	482 1.2×	154 0.8×	226 1.4×	147 1.0×	32 0.2×	17	904
Kazuya Kuboyama Japan	14	320 0.8×	160 0.8×	171 1.0×	48 0.3×	135 1.0×	24	702
Thomas Reinbothe Sweden	11	375 1.0×	109 0.6×	131 0.8×	191 1.3×	13 0.1×	13	894
Adolfo E. Cuadra United States	13	517 1.3×	67 0.4×	190 1.2×	49 0.3×	45 0.3×	26	885
Madeleine Poyard France	11	356 0.9×	149 0.8×	188 1.1×	35 0.2×	36 0.3×	12	627

Countries citing papers authored by Mark J. Zylka

Since Specialization

Citations

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

Fields of papers citing papers by Mark J. Zylka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Zylka

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Zylka. A scholar is included among the top collaborators of Mark J. Zylka 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 J. Zylka. Mark J. Zylka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Zylka, Mark J., et al.. (2022). Toward Elucidating the Human Gut Microbiota-Brain Axis: Molecules, Biochemistry, and Implications for Health and Diseases. UNC Libraries. 1 indexed citations

Loo, Lipin, Jeremy M. Simon, Lei Xing, et al.. (2019). Single-cell transcriptomic analysis of mouse neocortical development. Nature Communications. 10(1). 134–134. 175 indexed citations

Loo, Lipin & Mark J. Zylka. (2017). Conditional deletion of Pip5k1c in sensory ganglia and effects on nociception and inflammatory sensitization. Molecular Pain. 13. 2223541683–2223541683. 5 indexed citations

Yi, Jason J., Janet Berrios, Jason M. Newbern, et al.. (2015). An Autism-Linked Mutation Disables Phosphorylation Control of UBE3A. Cell. 162(4). 795–807. 132 indexed citations

Loo, Lipin, et al.. (2015). Lipid kinases as therapeutic targets for chronic pain. Pain. 156(Supplement 1). S2–S10. 10 indexed citations

Loo, Lipin, Sarah E. Street, Bonnie Taylor‐Blake, et al.. (2014). The Lipid Kinase PIP5K1C Regulates Pain Signaling and Sensitization. Neuron. 82(4). 836–847. 60 indexed citations

McCoy, Eric S., Bonnie Taylor‐Blake, & Mark J. Zylka. (2012). CGRPα-Expressing Sensory Neurons Respond to Stimuli that Evoke Sensations of Pain and Itch. PLoS ONE. 7(5). e36355–e36355. 93 indexed citations

Zylka, Mark J.. (2011). Pain-relieving prospects for adenosine receptors and ectonucleotidases. Trends in Molecular Medicine. 17(4). 188–196. 145 indexed citations

Street, Sarah E., Paul L. Walsh, Nathaniel A. Sowa, et al.. (2011). PAP and NT5E Inhibit Nociceptive Neurotransmission by Rapidly Hydrolyzing Nucleotides to Adenosine. Molecular Pain. 7. 80–80. 50 indexed citations

10.

Sowa, Nathaniel A., Sarah E. Street, Pirkko Vihko, & Mark J. Zylka. (2010). Prostatic Acid Phosphatase Reduces Thermal Sensitivity and Chronic Pain Sensitization by Depleting Phosphatidylinositol 4,5-Bisphosphate. Journal of Neuroscience. 30(31). 10282–10293. 54 indexed citations

11.

Street, Sarah E. & Mark J. Zylka. (2010). Emerging Roles for Ectonucleotidases in Pain-Sensing Neurons. Neuropsychopharmacology. 36(1). 358–358. 8 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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