Mark J. Zylka
- Endocrine and Autonomic Systems top 0.05%
- Circadian rhythm and melatonin 9
- Aging top 0.2%
- Sensory Systems top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research 12
- Physiology top 0.5%
- Pain Mechanisms and Treatments 16
- Adenosine and Purinergic Signaling 9
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- Genetic Syndromes and Imprinting 12
- Genetics and Neurodevelopmental Disorders 10
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- CRISPR and Genetic Engineering 8
- Receptor Mechanisms and Signaling 8
- Co-authors
- Steven M. ReppertDavid R. WeaverLauren P. ShearmanDavid J. AndersonXiaowei JinXinzhong DongFrank L. RiceBonnie Taylor‐Blake
- Partner nations
- United StatesItalyTaiwan
In The Last Decade
Mark J. Zylka
85 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Endocrine and Autonomic Systems 3.7k
- Aging 743
- Sensory Systems 769
- Cellular and Molecular Neuroscience 2.8k
- Physiology 2.9k
Countries citing papers authored by Mark J. Zylka
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
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
The 25 scholars most cited alongside Mark J. Zylka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 75 | |
| 6 | 2022 | 15 | |
| 7 | 2020 | 24 | |
| 8 | 2017 | 105 | |
| 9 | 2016 | 101 | |
| 10 | 2015 | 65 | |
| 11 | 2014 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 2012 | 10 | |
| 14 | 2011 | 287 | |
| 15 | 2010 | 70 | |
| 16 | Distinct subsets of unmyelinated primary sensory fibers mediate behavioral responses to noxious thermal and mechanical stimulibreakdown → | 2009 | 542 |
| 17 | 2008 | 144 | |
| 18 | 2008 | 65 | |
| 19 | A Diverse Family of GPCRs Expressed in Specific Subsets of Nociceptive Sensory Neuronsbreakdown → | 2001 | 546 |
| 20 | A Molecular Mechanism Regulating Rhythmic Output from the Suprachiasmatic Circadian Clockbreakdown → | 1999 | 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), Neurobiology and Insect Physiology Research (12 papers), Genetics and Neurodevelopmental Disorders (10 papers), Circadian rhythm and melatonin (9 papers), Adenosine and Purinergic Signaling (9 papers), CRISPR and Genetic Engineering (8 papers) and Receptor Mechanisms and Signaling (8 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.