P. Schelling

68 papers receiving 2.3k citations

Peers

P. Schelling
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 1.1k
  • Endocrinology, Diabetes and Metabolism 368
  • Developmental Neuroscience 69
  • Behavioral Neuroscience 59
  • Endocrine and Autonomic Systems 106
Replace Peter M. Buttrick with:
Peter M. Buttrick United States
Jane F Armstrong United Kingdom
Paula Sherman United States
Steven E. Mayer United States
Herman Van Belle Belgium
Jimmy Calaycay United States
Mauricio Di Silvio United States
Eef Harmsen Canada
Michaela Kühn Germany
Richard J. Heads United Kingdom
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Citations per year

Countries citing papers authored by P. Schelling

Since Specialization
Citations

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

Fields of papers citing papers by P. Schelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Schelling. 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 P. Schelling. The network helps show where P. Schelling may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991241
2 1977146
3 2003131
4 1998110
5 1976109
6 1976104
7 2005101
8 198098
9 198271
10 198271
11 200565
12 200363
13 197962
14 200458
15 197456
16 200054
17 200653
18 197644
19 197641
20 200338

About P. Schelling

P. Schelling is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Cellular and Molecular Neuroscience, having authored 69 papers that have together received 2.4k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (19 papers), Receptor Mechanisms and Signaling (12 papers), Cardiac Ischemia and Reperfusion (10 papers), Cardiac Arrest and Resuscitation (7 papers), Virus-based gene therapy research (6 papers), Neuropeptides and Animal Physiology (6 papers), Herpesvirus Infections and Treatments (5 papers) and Neuroendocrine regulation and behavior (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (368 citations), Developmental Neuroscience (69 citations), Behavioral Neuroscience (59 citations) and Endocrine and Autonomic Systems (106 citations). P. Schelling has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Detlev Ganten, Hans Fischer, Ursula Ganten, J. S. Hutchinson, Thilo Stehle, Léonardo Scapozza, Terence S. Dermody, Norbert Beier, D. Felix and Jacquelyn A. Campbell. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Molecular and Cellular Cardiology.

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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