Vafi Salmasi
Impact in
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- Thermal Regulation in Medicine
Papers in
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- Pain Management and Treatment 8
- Pharmacology 15
- Musculoskeletal pain and rehabilitation 14
- Co-authors
- Dongsheng YangDaniel I. SesslerAndrea KurzEdward J. MaschaKamal MaheshwariAsha SinghGary L. GalliaBeth D. Darnall
- Journals
- Pain Medicine (3 papers)Anesthesiology (3 papers)Anesthesiology Clinics (3 papers)Neuromodulation Technology at the Neural Interface (2 papers)Child s Nervous System (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Vafi Salmasi
38 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Critical Care and Intensive Care Medicine 206
- Anesthesiology and Pain Medicine 217
- Cardiology and Cardiovascular Medicine 592
- Surgery 753
- Nephrology 104
Countries citing papers authored by Vafi Salmasi
This map shows the geographic impact of Vafi Salmasi'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 Vafi Salmasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vafi Salmasi more than expected).
Fields of papers citing papers by Vafi Salmasi
This network shows the impact of papers produced by Vafi Salmasi. 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 Vafi Salmasi. The network helps show where Vafi Salmasi may publish in the future.
Co-authors
The 25 scholars most cited alongside Vafi Salmasi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 24 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 38 | |
| 11 | 2022 | 15 | |
| 12 | An 8-Week Self-Administered At-Home Behavioral Skills-Based Virtual Reality Program for Chronic Low Back Pain: Double-Blind, Randomized, Placebo-Controlled Trial Conducted During COVID-19 Hit paper breakdown → | 2021 | 153 |
| 13 | 2021 | 29 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 9 | |
| 16 | 2017 | 0 | |
| 17 | 2015 | 4 | |
| 18 | 2013 | 15 | |
| 19 | 2012 | 4 | |
| 20 | 2012 | 18 |
About Vafi Salmasi
Vafi Salmasi is a scholar working on Anesthesiology and Pain Medicine, Pharmacology, Otorhinolaryngology, Surgery and Oral Surgery, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (14 papers), Anesthesia and Pain Management (8 papers), Pain Management and Treatment (8 papers), Head and Neck Surgical Oncology (7 papers), Spine and Intervertebral Disc Pathology (6 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Pain Management and Placebo Effect (4 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (206 citations), Anesthesiology and Pain Medicine (217 citations), Cardiology and Cardiovascular Medicine (592 citations), Surgery (753 citations) and Nephrology (104 citations). Vafi Salmasi has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Dongsheng Yang, Daniel I. Sessler, Andrea Kurz, Edward J. Mascha, Kamal Maheshwari, Asha Singh, Gary L. Gallia, Beth D. Darnall, Josh Sackman and Robert G. Louis. Their work appears in journals such as Pain Medicine, Anesthesiology, Anesthesiology Clinics, Neuromodulation Technology at the Neural Interface and Child s Nervous System.
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.