Paul R. Perron

743 total citations
9 papers, 541 citations indexed

About

Paul R. Perron is a scholar working on Emergency Medicine, Critical Care and Intensive Care Medicine and Surgery. According to data from OpenAlex, Paul R. Perron has authored 9 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Emergency Medicine, 6 papers in Critical Care and Intensive Care Medicine and 1 paper in Surgery. Recurrent topics in Paul R. Perron's work include Cardiac Arrest and Resuscitation (8 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (6 papers) and Burn Injury Management and Outcomes (1 paper). Paul R. Perron is often cited by papers focused on Cardiac Arrest and Resuscitation (8 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (6 papers) and Burn Injury Management and Outcomes (1 paper). Paul R. Perron collaborates with scholars based in United States and Canada. Paul R. Perron's co-authors include George C. Kramer, James W. Holcroft, Robert A. Gunther, Hung S. Ho, G. J. Smith, Shin Nakayama, R. A. Gunther, R Günther, F. William Blaisdell and JP Després and has published in prestigious journals such as European Journal of Clinical Investigation, Journal of Surgical Research and American Journal of Veterinary Research.

In The Last Decade

Paul R. Perron

9 papers receiving 517 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul R. Perron United States 9 306 274 176 131 84 9 541
Frederico Aun Brazil 12 177 0.6× 148 0.5× 148 0.8× 77 0.6× 70 0.8× 17 420
M. Raum Germany 12 183 0.6× 360 1.3× 280 1.6× 87 0.7× 183 2.2× 25 618
Mikkel Gybel‐Brask Denmark 10 204 0.7× 149 0.5× 106 0.6× 70 0.5× 80 1.0× 16 587
M.F.M. James South Africa 8 221 0.7× 112 0.4× 159 0.9× 37 0.3× 68 0.8× 10 526
M. Rocha-e-Silva Brazil 8 185 0.6× 137 0.5× 94 0.5× 100 0.8× 74 0.9× 16 362
Bonny J. Baron United States 13 123 0.4× 230 0.8× 267 1.5× 65 0.5× 112 1.3× 28 501
Stephen P. Bruttig United States 11 279 0.9× 307 1.1× 118 0.7× 87 0.7× 41 0.5× 16 450
Stein Tølløfsrud Norway 14 184 0.6× 132 0.5× 201 1.1× 35 0.3× 39 0.5× 23 513
Martin Ponschab Austria 14 277 0.9× 216 0.8× 162 0.9× 78 0.6× 64 0.8× 25 531
Raili Laru‐Sompa Finland 6 105 0.3× 174 0.6× 126 0.7× 76 0.6× 207 2.5× 8 506

Countries citing papers authored by Paul R. Perron

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. Perron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. Perron. 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 Paul R. Perron. The network helps show where Paul R. Perron may publish in the future.

Co-authorship network of co-authors of Paul R. Perron

This figure shows the co-authorship network connecting the top 25 collaborators of Paul R. Perron. A scholar is included among the top collaborators of Paul R. Perron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul R. Perron. Paul R. Perron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Vohl, Marie‐Claude, Daniel Gaudet, Sital Moorjani, et al.. (1997). Comparison of the effect of two low‐density lipoprotein receptor class mutations on coronary heart disease among French‐Canadian patients heterozygous for familial hypercholesterolaemia. European Journal of Clinical Investigation. 27(5). 366–373. 50 indexed citations
2.
Moon, Paula F., Jack R. Snyder, Steve C. Haskins, Paul R. Perron, & George C. Kramer. (1991). Effects of a highly concentrated hypertonic saline-dextran volume expander on cardiopulmonary function in anesthetized normovolemic horses. American Journal of Veterinary Research. 52(10). 1611–1618. 21 indexed citations
3.
Bay, Brian K., et al.. (1989). EVALUATION OF AN INTRAOSSEOUS INFUSION DEVICE FOR THE RESUSCITATION OF HYPOVOLEMIC SHOCK. The Journal of Trauma: Injury, Infection, and Critical Care. 29(7). 1029–1029. 34 indexed citations
4.
Kramer, George C., Jon C. Walsh, Paul R. Perron, et al.. (1989). Resuscitation of hemorrhage with intraosseous infusion of hypertonic saline/dextran.. PubMed. 22(2). 283–6. 11 indexed citations
5.
Kramer, George C., Jon C. Walsh, Paul R. Perron, R Günther, & James W. Holcroft. (1989). Comparison of hypertonic saline/dextran versus hypertonic saline/hetastarch for resuscitation of hypovolemia.. PubMed. 22(2). 279–82. 10 indexed citations
6.
Holcroft, James W., et al.. (1988). Comparison of peripheral and central infusions of 7.5% NaCl/6% dextran 70.. PubMed. 103(6). 684–9. 29 indexed citations
7.
Kramer, George C., et al.. (1987). Small-Volume Resuscitation with Hypertonic Saline Dextran Solution. Survey of Anesthesiology. XXXI(4). 219???220–219???220. 47 indexed citations
8.
Kramer, George C., et al.. (1986). Small-volume resuscitation with hypertonic saline dextran solution.. PubMed. 100(2). 239–47. 164 indexed citations
9.
Smith, G. J., George C. Kramer, Paul R. Perron, et al.. (1985). A comparison of several hypertonic solutions for resuscitation of bled sheep. Journal of Surgical Research. 39(6). 517–528. 175 indexed citations

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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