Jason E. Maas

887 citations
7 papers · 230 · h-index 7

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Nitric Oxide and Endothelin Effects
    • Vagus Nerve Stimulation Research

Papers in

    • Adenosine and Purinergic Signaling 4
    • Nitric Oxide and Endothelin Effects 2
    • Cancer-related gene regulation 1
    • Epigenetics and DNA Methylation 1

Jason E. Maas

7 papers receiving 226 citations

Peers

Jason E. Maas
Comparison fields: 5 of 50
  • Physiology 111
  • Neurology 28
  • Pathology and Forensic Medicine 35
  • Cardiology and Cardiovascular Medicine 38
  • Molecular Biology 107
Replace Yoshiya Monden with:
Yoshiya Monden United States
Claudie Gabillard-Lefort France
Melissa Q. Cortez United States
Gavin M. Braunstein United States
Yixian Ren China
Rachel Y. Diao United States
Shuai Shang China
Pablo S. Gaete United States
Yoshiaki Maruyama Japan
Philippe Lhôte Switzerland
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Citations per field
00.5×2.8×
Yoshiya Monden · 1×
Citations per year

Countries citing papers authored by Jason E. Maas

Since Specialization
Citations

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

Fields of papers citing papers by Jason E. Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jason E. Maas, 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 Jason E. Maas Line = papers co-authored together Jason E. Maas links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201144
2 201044
3 201443
4 199535
5 200932
6 201025
7 20087

About Jason E. Maas

Jason E. Maas is a scholar working on Physiology, Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 230 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Neuropeptides and Animal Physiology (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Cancer-related gene regulation (1 paper), Epigenetics and DNA Methylation (1 paper), Renin-Angiotensin System Studies (1 paper) and Cardiac Arrest and Resuscitation (1 paper). The work is most often cited by research in Physiology (111 citations), Neurology (28 citations), Pathology and Forensic Medicine (35 citations), Cardiology and Cardiovascular Medicine (38 citations) and Molecular Biology (107 citations). Jason E. Maas has collaborated with scholars based in United States and Germany. Frequent co-authors include John A. Auchampach, Tina C. Wan, Dharini van der Hoeven, Zhi‐Dong Ge, Elizabeth Gizewski, Laura M. Kreckler, Katya Ravid, Garrett J. Gross, Robert A. Figler and Margit Knoblauch. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Molecular and Cellular Cardiology, Circulation, Journal of Virology and Arteriosclerosis Thrombosis and Vascular Biology.

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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