Daniel B. Carr

37.3k total citations · 6 hit papers
289 papers, 18.5k citations indexed

About

Daniel B. Carr is a scholar working on Anesthesiology and Pain Medicine, Surgery and Physiology. According to data from OpenAlex, Daniel B. Carr has authored 289 papers receiving a total of 18.5k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Anesthesiology and Pain Medicine, 80 papers in Surgery and 70 papers in Physiology. Recurrent topics in Daniel B. Carr's work include Pain Management and Opioid Use (94 papers), Anesthesia and Pain Management (73 papers) and Pain Mechanisms and Treatments (58 papers). Daniel B. Carr is often cited by papers focused on Pain Management and Opioid Use (94 papers), Anesthesia and Pain Management (73 papers) and Pain Mechanisms and Treatments (58 papers). Daniel B. Carr collaborates with scholars based in United States, Colombia and Poland. Daniel B. Carr's co-authors include Joseph Lau, Leonidas C. Goudas, Ewan D McNicol, Jane C. Ballantyne, Michael J. Cousins, M. Soledad Cepeda, Frank Brennan, Frederick Mosteller, Italo Francesco Angelillo and Thomas C. Chalmers and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel B. Carr

280 papers receiving 17.5k citations

Hit Papers

The revised Inter... 1998 2026 2007 2016 2020 2007 1998 1998 2005 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel B. Carr United States 64 6.3k 6.3k 3.7k 3.5k 2.9k 289 18.5k
John T. Farrar United States 63 4.3k 0.7× 3.1k 0.5× 4.3k 1.1× 2.0k 0.6× 5.3k 1.8× 234 20.1k
Georgia Salanti Switzerland 77 5.6k 0.9× 590 0.1× 2.6k 0.7× 1.4k 0.4× 4.5k 1.5× 251 38.1k
Walter F. Stewart United States 97 3.9k 0.6× 643 0.1× 8.3k 2.2× 892 0.3× 3.1k 1.0× 337 38.8k
Lewis A. Lipsitz United States 93 4.7k 0.8× 1.2k 0.2× 5.5k 1.5× 573 0.2× 1.3k 0.4× 414 32.5k
Cor J. Kalkman Netherlands 64 8.4k 1.3× 3.1k 0.5× 812 0.2× 784 0.2× 754 0.3× 347 16.2k
Jacob Rosenberg Denmark 74 15.3k 2.4× 1.9k 0.3× 2.2k 0.6× 719 0.2× 531 0.2× 835 23.6k
Michael F. Roizen United States 56 4.1k 0.7× 2.0k 0.3× 1.4k 0.4× 509 0.1× 479 0.2× 422 11.9k
Tobias Kurth United States 78 2.6k 0.4× 958 0.2× 2.8k 0.8× 495 0.1× 609 0.2× 350 20.3k
Donald D. Price United States 101 4.0k 0.6× 2.9k 0.5× 28.2k 7.5× 3.1k 0.9× 12.1k 4.1× 281 59.6k
Gordon Murray United Kingdom 104 5.1k 0.8× 499 0.1× 1.5k 0.4× 1.8k 0.5× 615 0.2× 519 38.3k

Countries citing papers authored by Daniel B. Carr

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Carr. 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 Daniel B. Carr. The network helps show where Daniel B. Carr may publish in the future.

Co-authorship network of co-authors of Daniel B. Carr

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Carr. A scholar is included among the top collaborators of Daniel B. Carr 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 Daniel B. Carr. Daniel B. Carr 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.
Nitsche, Michael A., et al.. (2023). Remapping Control in VR for Patients with AMD. 146–151.
2.
Carr, Daniel B., et al.. (2020). Severe Chronic Pain Following Retroperitoneal Hemorrhage in a COVID-19 Patient: Amelioration with a Topical Pain Cream. SHILAP Revista de lepidopterología. 1(1). 232–233. 1 indexed citations
3.
McNicol, Ewan D, McKenzie Ferguson, Simon Haroutounian, Daniel B. Carr, & Roman Schumann. (2016). Single dose intravenous paracetamol or intravenous propacetamol for postoperative pain. Cochrane Database of Systematic Reviews. 2019(1). CD007126–CD007126. 112 indexed citations
5.
Schumann, Roman, Stephanie B. Jones, Scott D. Kelley, et al.. (2009). Update on Best Practice Recommendations for Anesthetic Perioperative Care and Pain Management in Weight Loss Surgery, 2004–2007. Obesity. 17(5). 889–894. 49 indexed citations
6.
Cepeda, M. Soledad, et al.. (2008). Emotional Disclosure Through Patient Narrative May Improve Pain and Well-Being: Results of a Randomized Controlled Trial in Patients with Cancer Pain. Journal of Pain and Symptom Management. 35(6). 623–631. 76 indexed citations
7.
Cepeda, M. Soledad, et al.. (2007). An N-of-1 Trial as an Aid to Decision-Making Prior to Implanting a Permanent Spinal Cord Stimulator. Pain Medicine. 9(2). 235–239. 13 indexed citations
8.
Wittink, Harriët, William H. Rogers, Arthur G. Lipman, et al.. (2006). Older and Younger Adults in Pain Management Programs in the United States: Differences and Similarities. Pain Medicine. 7(2). 151–163. 38 indexed citations
9.
MacEachren, Alan M., Daniel B. Carr, & David W. Scott. (2005). Project highlight: quality graphics for statistical summaries. International Conference on Digital Government Research. 175–176. 1 indexed citations
10.
Cepeda, M. Soledad, et al.. (2005). Comparison of Morphine, Ketorolac, and Their Combination for Postoperative Pain. Anesthesiology. 103(6). 1225–1232. 112 indexed citations
12.
Carr, Daniel B., et al.. (2003). The State Cancer Profiles web site and extensions of linked micromap plots and conditioned choropleth map plots. International Conference on Digital Government Research. 1–5. 5 indexed citations
14.
Strassels, Scott A., Connie Chen, & Daniel B. Carr. (2002). Postoperative Analgesia: Economics, Resource Use, and Patient Satisfaction in an Urban Teaching Hospital. Anesthesia & Analgesia. 94(1). 130–137. 154 indexed citations
15.
Carr, Daniel B., et al.. (2002). Interactive linked micromap plots and dynamically conditioned choropleth maps. International Conference on Digital Government Research. 1–7. 12 indexed citations
16.
Morris, Jonathan, Christopher Bowman, & Daniel B. Carr. (2000). Discriminating for the Ageing Population – the Positive Approach. Journal of the Royal College of Physicians of London. 34(4). 353–354. 1 indexed citations
17.
Goudas, Leonidas C., Alain Serrié, Wayne R. Matson, et al.. (1999). Acute Decreases in Cerebrospinal Fluid Glutathione Levels after Intracerebroventricular Morphine for Cancer Pain. Anesthesia & Analgesia. 89(5). 1209–1215. 82 indexed citations
18.
Ballantyne, Jane C., Daniel B. Carr, Thomas Suarez, et al.. (1998). The Comparative Effects of Postoperative Analgesic Therapies on Pulmonary Outcome. Anesthesia & Analgesia. 86(3). 598–612. 657 indexed citations breakdown →
19.
Cepeda, M. Soledad, et al.. (1995). Comparative Analgesic Efficacy of Patient-Controlled Analgesia with Ketorolac Versus Morphine After Elective Intraabdominal Operations. Anesthesia & Analgesia. 80(6). 1150–1153. 37 indexed citations
20.
Lipkowski, Andrzej W., et al.. (1994). Morphine-3-glucuronide: Silent regulator of morphine actions. Life Sciences. 55(2). 149–154. 43 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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