Marc C. Torjman

2.9k total citations
127 papers, 2.1k citations indexed

About

Marc C. Torjman is a scholar working on Surgery, Anesthesiology and Pain Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marc C. Torjman has authored 127 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Surgery, 38 papers in Anesthesiology and Pain Medicine and 34 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marc C. Torjman's work include Cardiac, Anesthesia and Surgical Outcomes (30 papers), Anesthesia and Sedative Agents (29 papers) and Anesthesia and Pain Management (22 papers). Marc C. Torjman is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (30 papers), Anesthesia and Sedative Agents (29 papers) and Anesthesia and Pain Management (22 papers). Marc C. Torjman collaborates with scholars based in United States, Japan and Austria. Marc C. Torjman's co-authors include Michael E. Goldberg, Irving W. Wainer, Jeffrey I. Joseph, Ruin Moaddel, Christina T. Mora, Stephen E. McNulty, Hugh Schieren, Michael E. Goldberg, Anthony M. Lowman and Mariko Morishita and has published in prestigious journals such as Biomaterials, Diabetes and Journal of Controlled Release.

In The Last Decade

Marc C. Torjman

118 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc C. Torjman United States 26 596 419 385 313 258 127 2.1k
Peter Nägele United States 26 547 0.9× 371 0.9× 291 0.8× 732 2.3× 102 0.4× 84 2.2k
Adam M. Kaye United States 25 596 1.0× 248 0.6× 439 1.1× 220 0.7× 246 1.0× 140 2.9k
Martyn Harvey New Zealand 20 786 1.3× 381 0.9× 302 0.8× 179 0.6× 82 0.3× 64 1.7k
Thomas K. Henthorn United States 28 509 0.9× 701 1.7× 423 1.1× 185 0.6× 142 0.6× 86 2.0k
Ta-Liang Chen Taiwan 30 380 0.6× 204 0.5× 189 0.5× 223 0.7× 230 0.9× 98 2.6k
Joseph Foss United States 33 1.3k 2.2× 616 1.5× 364 0.9× 519 1.7× 560 2.2× 70 3.0k
Jan de Hoon Belgium 35 352 0.6× 443 1.1× 657 1.7× 180 0.6× 507 2.0× 180 3.6k
Takumi Taniguchi Japan 24 306 0.5× 295 0.7× 97 0.3× 229 0.7× 134 0.5× 83 1.9k
Michael Shannon United States 25 238 0.4× 187 0.4× 732 1.9× 378 1.2× 239 0.9× 70 3.0k
Gilbert Blaise Canada 25 618 1.0× 225 0.5× 426 1.1× 404 1.3× 440 1.7× 53 2.2k

Countries citing papers authored by Marc C. Torjman

Since Specialization
Citations

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

Fields of papers citing papers by Marc C. Torjman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc C. Torjman. 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 Marc C. Torjman. The network helps show where Marc C. Torjman may publish in the future.

Co-authorship network of co-authors of Marc C. Torjman

This figure shows the co-authorship network connecting the top 25 collaborators of Marc C. Torjman. A scholar is included among the top collaborators of Marc C. Torjman 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 Marc C. Torjman. Marc C. Torjman 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.
Torjman, Marc C., et al.. (2024). Length of stay and cost of care differences between postoperative patients who board in PACU and those that proceed directly to inpatient bed. Perioperative Care and Operating Room Management. 37. 100434–100434. 1 indexed citations
2.
3.
Schwenk, Eric S., Marc C. Torjman, Ruin Moaddel, et al.. (2021). Ketamine for Refractory Chronic Migraine: An Observational Pilot Study and Metabolite Analysis. The Journal of Clinical Pharmacology. 61(11). 1421–1429. 10 indexed citations
4.
Schwenk, Eric S., Basant Pradhan, Rohit Nalamasu, et al.. (2021). Correction to: Ketamine in the Past, Present, and Future: Mechanisms, Metabolites, and Toxicity. Current Pain and Headache Reports. 25(9). 62–62. 1 indexed citations
5.
Schwenk, Eric S., Basant Pradhan, Rohit Nalamasu, et al.. (2021). Ketamine in the Past, Present, and Future: Mechanisms, Metabolites, and Toxicity. Current Pain and Headache Reports. 25(9). 57–57. 22 indexed citations
6.
7.
Chen, Antonia F., et al.. (2016). A Randomized Controlled Trial Comparing Adductor Canal Catheter and Intraarticular Catheter After Primary Total Knee Arthroplasty. The Journal of Arthroplasty. 31(9). 298–301. 17 indexed citations
8.
Bhamidipati, Deepak, et al.. (2016). Cognitive Outcomes After Coronary Artery Bypass Grafting. Journal of Cardiothoracic and Vascular Anesthesia. 31(2). 707–718. 34 indexed citations
9.
Sabbah, Mohamad, Christa Schorr, Krystal Hunter, et al.. (2015). Risk ofClostridium difficileinfection in intensive care unit patients with sepsis exposed to metronidazole. Infectious Diseases. 47(4). 197–202. 5 indexed citations
10.
Burden, Amanda R., et al.. (2014). Using Simulation Education With Deliberate Practice to Teach Leadership and Resource Management Skills to Senior Resident Code Leaders. Journal of Graduate Medical Education. 6(3). 463–469. 25 indexed citations
11.
Alexander, Guillermo M., Robert J. Schwartzman, N. Singh, et al.. (2013). Development and validation of a sensitive LC–MS/MS method for the determination of d-serine in human plasma. Journal of Pharmaceutical and Biomedical Analysis. 89. 1–5. 25 indexed citations
12.
Carr, Zyad J., et al.. (2011). Spatial Memory Using Active Allothetic Place Avoidance in Adult Rats After Isoflurane Anesthesia. Journal of Neurosurgical Anesthesiology. 23(2). 138–145. 18 indexed citations
13.
14.
Goldberg, Michael E., Marc C. Torjman, Robert J. Schwartzman, Donald E. Mager, & Irving W. Wainer. (2010). Enantioselective pharmacokinetics of (R)‐ and (S)‐ketamine after a 5‐day infusion in patients with complex regional pain syndrome. Chirality. 23(2). 138–143. 21 indexed citations
15.
Goldberg, Michael E., et al.. (2008). Deep cervical plexus block for the treatment of cervicogenic headache.. PubMed. 11(6). 849–54. 16 indexed citations
16.
Provenzano, David, et al.. (2002). Safety and Efficacy of the Popliteal Fossa Nerve Block When Utilized for Foot and Ankle Surgery. Foot & Ankle International. 23(5). 394–399. 57 indexed citations
17.
Dziubla, Thomas D., et al.. (2001). Evaluation of porous networks of poly(2-hydroxyethyl methacrylate) as interfacial drug delivery devices. Biomaterials. 22(21). 2893–2899. 71 indexed citations
18.
Reinhart, Douglas J., et al.. (1997). Transdermal fentanyl system plusim ketorolac for the treatment of postoperative pain. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 44(4). 377–384. 11 indexed citations
19.
Goldberg, Michael E., et al.. (1993). Fenoldopam infusion for the treatment of postoperative hypertension. Journal of Clinical Anesthesia. 5(5). 386–391. 20 indexed citations
20.
Goldberg, Michael E., Stephen E. McNulty, Said S. Azad, et al.. (1990). A Comparison of Labetalol and Nitroprusside for Inducing Hypotension During Major Surgery. Anesthesia & Analgesia. 70(5). 537???542–537???542. 15 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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