Peter Torp

413 citations
10 papers · 319 · h-index 8

Impact in

Papers in

Peter Torp

10 papers receiving 299 citations

Peers

Peter Torp
Comparison fields: 5 of 28
  • Hepatology 84
  • Anesthesiology and Pain Medicine 43
  • Critical Care and Intensive Care Medicine 28
  • Cardiology and Cardiovascular Medicine 124
  • Emergency Medicine 10
Replace Jennifer C. Scovotti with:
Jennifer C. Scovotti United States
Shunsuke Matsushima Japan
Coimbatore Srinivas Canada
Mikhail Vaynblat United States
Sang Kee Min South Korea
Steven B. Fishberger United States
Imad H. Abdul-Rasool United States
Manoj H. Iyer United States
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Yvon Camus France
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Citations per field
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Jennifer C. Scovotti · 1×
Citations per year

Countries citing papers authored by Peter Torp

Since Specialization
Citations

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

Fields of papers citing papers by Peter Torp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Peter Torp, 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 Peter Torp Line = papers co-authored together Peter Torp links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201199
2 200767
3 201952
4 200727
5 201027
6 200917
7 201713
8 200612
9 20094
10 20091

About Peter Torp

Peter Torp is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine, Hepatology and Pathology and Forensic Medicine, having authored 10 papers that have together received 319 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Atrial Fibrillation Management and Outcomes (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Cardiac Ischemia and Reperfusion (1 paper), Anesthesia and Sedative Agents (1 paper), Ultrasound in Clinical Applications (1 paper), Anesthesia and Pain Management (1 paper) and Cardiac pacing and defibrillation studies (1 paper). The work is most often cited by research in Hepatology (84 citations), Anesthesiology and Pain Medicine (43 citations), Critical Care and Intensive Care Medicine (28 citations), Cardiology and Cardiovascular Medicine (124 citations) and Emergency Medicine (10 citations). Peter Torp has collaborated with scholars based in Denmark and United Kingdom. Frequent co-authors include Erik Sloth, Carl-Johan Jakobsen, Hendrik Vilstrup, Niels Kristian Aagaard, N.H. Andersen, Konstantin Kazankov, Peter Holland‐Fischer, Hans Rickers, Kasper Glerup Lauridsen and Bo Løfgren. Their work appears in journals such as Acta Anaesthesiologica Scandinavica, European Journal of Anaesthesiology, European Heart Journal, Journal of the American Heart Association and Journal of Cardiothoracic and Vascular Anesthesia.

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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