Amir Abrishami

4.3k citations
31 papers · 3.1k indexed · 1 hit paper · h-index 20

Amir Abrishami

29 papers receiving 2.9k citations

Hit Papers

Predictors of Postoperative Pain and Analgesic Consumption7842009202620142020250500750

Peers

Amir Abrishami
Comparison fields: 5 of 123
  • Anesthesiology and Pain Medicine 694
  • Biochemistry 538
  • Critical Care and Intensive Care Medicine 286
  • Endocrine and Autonomic Systems 343
  • Internal Medicine 183
Replace Torben Bæk Hansen with:
Torben Bæk Hansen Denmark
Anthony V. Perruccio Canada
Iosief Abraha Italy
H. Keïta France
Kumar G. Belani United States
David B. Cohen United States
Shireen Ahmad United States
Richard Brull Canada
Sanford M. Archer United States
Nancy Carney United States
Amir Abrishami relative to Torben Bæk Hansen Denmark Torben Bæk Hansen's profile →
Citations per field
00.5×10×17.4×
Torben Bæk Hansen · 1×
Citations per year

Countries citing papers authored by Amir Abrishami

Since Specialization
Citations

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

Fields of papers citing papers by Amir Abrishami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Amir Abrishami, 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 Amir Abrishami Line = papers co-authored together Amir Abrishami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202434
3 202416
4 20248
5 202111
6 20217
7 201380
8 201267
9 2011263
10 2011122
11 2010409
12 2010420
13 201034
14
Predictors of Postoperative Pain and Analgesic Consumptionbreakdown →
2009784
15 200966
16 200980
17 200991
18 200990
19 2008160
20 200821

About Amir Abrishami

Amir Abrishami is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Geriatrics and Gerontology, having authored 31 papers that have together received 3.1k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (8 papers), Nausea and vomiting management (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Smoking Behavior and Cessation (4 papers), Anesthesia and Sedative Agents (4 papers), Blood transfusion and management (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (694 citations), Biochemistry (538 citations) and Critical Care and Intensive Care Medicine (286 citations). Amir Abrishami has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include Frances Chung, Jean Wong, Philip Peng, Ali Khajehdehi, Hossam El Beheiry, Matthew T.V. Chan, David S. Warner, Khalid Syed, Nizar N. Mahomed and Rajiv Gandhi. Their work appears in journals such as Canadian Journal of Anesthesia/Journal canadien d anesthésie, Anesthesiology, Anesthesia & Analgesia, Cochrane Database of Systematic Reviews and British Journal of Anaesthesia.

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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