Mark J. Zylka

13.0k citations
96 papers · 9.7k indexed · 7 hit papers · h-index 41
Topics
Pain Mechanisms and Treatments (16 papers)Genetic Syndromes and Imprinting (12 papers)Neurobiology and Insect Physiology Research (12 papers)
Partner nations
United StatesItalyTaiwan

In The Last Decade

Mark J. Zylka

85 papers receiving 9.5k citations

Hit Papers

mCRY1 and mCRY2 Are Essential Components of the Negative ...1997202620062016199919991998199720014008001.2k

Peers

Mark J. Zylka
Comparison fields: 5 of 148
  • Endocrine and Autonomic Systems 3.7k
  • Molecular Biology 3.1k
  • Physiology 2.9k
  • Cellular and Molecular Neuroscience 2.8k
  • Plant Science 1.6k
Replace Karl Obrietan with:
Karl Obrietan United States
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Jacques Epelbaum France
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Mark J. Zylka relative to Karl Obrietan United States Karl Obrietan's profile →
Citations per field
00.5×1.5×2.2×
Karl Obrietan · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 4
5 75
6 15
7 24
8 105
9 101
10 65
11 11
12 9
13 10
14 287
15 70
16
Distinct subsets of unmyelinated primary sensory fibers mediate behavioral responses to noxious thermal and mechanical stimulibreakdown →
542
17 144
18 65
19
A Diverse Family of GPCRs Expressed in Specific Subsets of Nociceptive Sensory Neuronsbreakdown →
546
20
A Molecular Mechanism Regulating Rhythmic Output from the Suprachiasmatic Circadian Clockbreakdown →
764

About Mark J. Zylka

Mark J. Zylka is a scholar working on Physiology, Sensory Systems and Aging, having authored 96 papers that have together received 9.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (16 papers), Genetic Syndromes and Imprinting (12 papers) and Neurobiology and Insect Physiology Research (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (3.7k citations), Aging (743 citations) and Sensory Systems (769 citations). Mark J. Zylka has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include Steven M. Reppert, David R. Weaver, Lauren P. Shearman, David J. Anderson, Xiaowei Jin, Xinzhong Dong, Frank L. Rice, Bonnie Taylor‐Blake, Kazuhiko Kume and Elizabeth S. Maywood. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.

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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