Tom Pedersen

2.3k total citations
26 papers, 1.5k citations indexed

About

Tom Pedersen is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Tom Pedersen has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Tom Pedersen's work include Cardiac, Anesthesia and Surgical Outcomes (11 papers), Hemodynamic Monitoring and Therapy (9 papers) and Multiple Sclerosis Research Studies (8 papers). Tom Pedersen is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (11 papers), Hemodynamic Monitoring and Therapy (9 papers) and Multiple Sclerosis Research Studies (8 papers). Tom Pedersen collaborates with scholars based in Denmark, Norway and United States. Tom Pedersen's co-authors include Ann Merete Møller, Bente D. Pedersen, Per Rotbøll Nielsen, Benny Dahl, Hanne Tønnesen, Lars Jørgensen, Karen Hovhannisyan, Rune Midgard, Stig Wergeland and Antonie Giæver Beiske and has published in prestigious journals such as PLoS ONE, Neurology and Annals of Surgery.

In The Last Decade

Tom Pedersen

26 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Pedersen Denmark 19 601 474 421 221 221 26 1.5k
Roberta Hines United States 18 511 0.9× 518 1.1× 82 0.2× 262 1.2× 153 0.7× 70 1.3k
Peter Bruins Netherlands 16 534 0.9× 747 1.6× 69 0.2× 263 1.2× 109 0.5× 36 1.5k
Alexander Wahba Norway 27 1.1k 1.8× 1.3k 2.8× 235 0.6× 147 0.7× 347 1.6× 96 3.0k
T. Möllhoff Germany 23 1.1k 1.9× 808 1.7× 291 0.7× 363 1.6× 173 0.8× 69 1.8k
Leonardo Gottin Italy 20 667 1.1× 581 1.2× 56 0.1× 186 0.8× 132 0.6× 94 1.4k
Jan M. Dieleman Netherlands 16 451 0.8× 694 1.5× 79 0.2× 143 0.6× 107 0.5× 48 1.3k
Thorsten Annecke Germany 19 521 0.9× 243 0.5× 107 0.3× 76 0.3× 134 0.6× 77 1.5k
Mark A. Chaney United States 22 1.4k 2.4× 966 2.0× 211 0.5× 628 2.8× 230 1.0× 101 2.1k
Manuel Taboada Spain 24 941 1.6× 341 0.7× 241 0.6× 190 0.9× 51 0.2× 109 1.6k
Roger L. Royster United States 22 634 1.1× 798 1.7× 147 0.3× 154 0.7× 131 0.6× 97 1.4k

Countries citing papers authored by Tom Pedersen

Since Specialization
Citations

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

Fields of papers citing papers by Tom Pedersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Pedersen

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Pedersen. A scholar is included among the top collaborators of Tom Pedersen 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 Tom Pedersen. Tom Pedersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Johansson, Pär I., et al.. (2016). Impact of Albumin on Coagulation Competence and Hemorrhage During Major Surgery. Medicine. 95(9). e2720–e2720. 29 indexed citations
2.
Secher, Niels H., et al.. (2016). Effect of perioperative crystalloid or colloid fluid therapy on hemorrhage, coagulation competence, and outcome. Medicine. 95(31). e4498–e4498. 33 indexed citations
3.
Røsjø, Egil, Kjell‐Morten Myhr, Kristin I. Løken-Amsrud, et al.. (2015). Vitamin D status and effect of interferon-β1a treatment on MRI activity and serum inflammation markers in relapsing-remitting multiple sclerosis. Journal of Neuroimmunology. 280. 21–28. 14 indexed citations
4.
Myhr, Kjell‐Morten, Trygve Holmøy, Jūratė Šaltytė Benth, et al.. (2015). Body mass index influence interferon-beta treatment response in multiple sclerosis. Journal of Neuroimmunology. 288. 92–97. 50 indexed citations
6.
Røsjø, Egil, Kjell‐Morten Myhr, Kristin I. Løken-Amsrud, et al.. (2014). Increasing serum levels of vitamin A, D and E are associated with alterations of different inflammation markers in patients with multiple sclerosis. Journal of Neuroimmunology. 271(1-2). 60–65. 14 indexed citations
7.
Myhr, Kjell‐Morten, Trygve Holmøy, S. J. Bakke, et al.. (2014). Antibodies to Epstein-Barr virus and MRI disease activity in multiple sclerosis. Multiple Sclerosis Journal. 20(14). 1833–1840. 57 indexed citations
8.
Johansson, Pär I., Peter Thind, Henning B. Nielsen, et al.. (2013). Hydroxyethyl Starch Reduces Coagulation Competence and Increases Blood Loss During Major Surgery. Annals of Surgery. 259(2). 249–254. 54 indexed citations
9.
Holmøy, Trygve, Kristin I. Løken-Amsrud, S. J. Bakke, et al.. (2013). Inflammation Markers in Multiple Sclerosis: CXCL16 Reflects and May Also Predict Disease Activity. PLoS ONE. 8(9). e75021–e75021. 29 indexed citations
10.
Løken-Amsrud, Kristin I., Kjell‐Morten Myhr, S. J. Bakke, et al.. (2013). Alpha-tocopherol and MRI Outcomes in Multiple Sclerosis – Association and Prediction. PLoS ONE. 8(1). e54417–e54417. 21 indexed citations
11.
Løken-Amsrud, Kristin I., Trygve Holmøy, S. J. Bakke, et al.. (2012). Vitamin D and disease activity in multiple sclerosis before and during interferon-β treatment. Neurology. 79(3). 267–273. 90 indexed citations
12.
Torkildsen, Øivind, Stig Wergeland, S. J. Bakke, et al.. (2012). ω-3 Fatty Acid Treatment in Multiple Sclerosis (OFAMS Study). Archives of Neurology. 69(8). 1044–51. 110 indexed citations
13.
Løken-Amsrud, Kristin I., Kjell‐Morten Myhr, S. J. Bakke, et al.. (2012). Retinol levels are associated with magnetic resonance imaging outcomes in multiple sclerosis. Multiple Sclerosis Journal. 19(4). 451–457. 42 indexed citations
14.
Pedersen, Tom, Karen Hovhannisyan, & Ann Merete Møller. (2009). Pulse oximetry for perioperative monitoring. Cochrane Database of Systematic Reviews. CD002013–CD002013. 34 indexed citations
15.
Pedersen, Tom. (2006). Evidence-based anaesthesia and health economics. Best Practice & Research Clinical Anaesthesiology. 20(2). 347–360. 3 indexed citations
16.
Pedersen, Tom. (2004). Does perioperative pulse oximetry improve outcome? Seeking the best available evidence to answer the clinical question. Best Practice & Research Clinical Anaesthesiology. 19(1). 111–123. 5 indexed citations
17.
Pedersen, Tom, Bente D. Pedersen, & Ann Merete Møller. (2003). Pulse oximetry for perioperative monitoring. Cochrane Database of Systematic Reviews. CD002013–CD002013. 38 indexed citations
18.
Pedersen, Tom, Ann Merete Møller, & Bente D. Pedersen. (2003). Pulse Oximetry for Perioperative Monitoring: Systematic Review of Randomized, Controlled Trials. Anesthesia & Analgesia. 96(2). 426–431. 56 indexed citations
19.
Møller, Jakob Trier, N. W. Johannessen, Kurt Espersen, et al.. (1993). Randomized Evaluation of Pulse Oximetry in 20,802 Patients; II. Anesthesiology. 78(3). 445–453. 275 indexed citations
20.
Møller, Jakob Trier, Tom Pedersen, Lars S. Rasmussen, et al.. (1993). Randomized Evaluation of Pulse Oximetry in 20,802 Patients; I. Anesthesiology. 78(3). 436–444. 142 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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