Mark E. Clement

401 citations
15 papers · 376 · h-index 10

Impact in

Papers in

Mark E. Clement

15 papers receiving 371 citations

Peers

Mark E. Clement
Comparison fields: 5 of 49
  • Endocrine and Autonomic Systems 197
  • Cellular and Molecular Neuroscience 180
  • Behavioral Neuroscience 25
  • Cardiology and Cardiovascular Medicine 108
  • Biochemistry 33
Replace Susan Punnen with:
Susan Punnen United States
Roger Bloch France
M.P. Morin‐Surun France
D. de Wied United States
Emma Chiaraviglio Argentina
K. H. Schlör Germany
Jeanelle Portelli Belgium
Zhi‐Gen Jiang United States
Roberto Ciccocioppo Italy
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Citations per year

Countries citing papers authored by Mark E. Clement

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Clement

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Mark E. Clement, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark E. Clement Line = papers co-authored together Mark E. Clement links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1994109
2 198989
3 199040
4 198929
5 199617
6 199016
7 199215
8 199113
9 199412
10 19939
11 19917
12 19935
13 19895
14 19925
15 19915

About Mark E. Clement

Mark E. Clement is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Physiology, having authored 15 papers that have together received 376 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (6 papers), Receptor Mechanisms and Signaling (5 papers), Heart Rate Variability and Autonomic Control (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Pain Mechanisms and Treatments (3 papers), Neuroscience of respiration and sleep (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (197 citations), Cellular and Molecular Neuroscience (180 citations), Behavioral Neuroscience (25 citations), Cardiology and Cardiovascular Medicine (108 citations) and Biochemistry (33 citations). Mark E. Clement has collaborated with scholars based in United States. Frequent co-authors include Robert B. McCall, Lorri T. Harris, Sheng Zhong, G. L. Gebber, Hakan S. Orer, Andrew G. Ramage and Gary A. Iwamoto. Their work appears in journals such as Brain Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Pharmacological Reviews, European Journal of Pharmacology and Journal of Pharmacology and Experimental Therapeutics.

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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