David B. Auyong

1.4k total citations
32 papers, 848 citations indexed

About

David B. Auyong is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, David B. Auyong has authored 32 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 10 papers in Cardiology and Cardiovascular Medicine and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in David B. Auyong's work include Anesthesia and Pain Management (24 papers), Shoulder Injury and Treatment (14 papers) and Cardiac, Anesthesia and Surgical Outcomes (9 papers). David B. Auyong is often cited by papers focused on Anesthesia and Pain Management (24 papers), Shoulder Injury and Treatment (14 papers) and Cardiac, Anesthesia and Surgical Outcomes (9 papers). David B. Auyong collaborates with scholars based in United States, United Kingdom and Australia. David B. Auyong's co-authors include Neil A. Hanson, April Slee, Stanley C. Yuan, Joshuel A. Pahang, Jonathan Clabeaux, Ryan Derby, Daniel Choï, DaiWai M. Olson, Wyndam Strodtbeck and Cynthia L. Green and has published in prestigious journals such as Anesthesiology, Anesthesia & Analgesia and British Journal of Anaesthesia.

In The Last Decade

David B. Auyong

31 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David B. Auyong United States 17 757 166 131 109 46 32 848
Régis Fuzier France 14 487 0.6× 107 0.6× 106 0.8× 129 1.2× 47 1.0× 63 711
Promil Kukreja United States 14 441 0.6× 164 1.0× 93 0.7× 90 0.8× 42 0.9× 42 519
Damon Kamming United Kingdom 8 474 0.6× 160 1.0× 53 0.4× 143 1.3× 49 1.1× 15 623
Zeev Goldik Israel 13 530 0.7× 156 0.9× 65 0.5× 241 2.2× 40 0.9× 24 720
Eliana Marisa Ganem Brazil 11 357 0.5× 179 1.1× 92 0.7× 158 1.4× 16 0.3× 57 545
Wallis T. Muhly United States 12 525 0.7× 208 1.3× 52 0.4× 86 0.8× 39 0.8× 38 638
Richard L. Kahn United States 17 926 1.2× 229 1.4× 195 1.5× 263 2.4× 81 1.8× 48 1.0k
Mürsel Ekinci Türkiye 14 479 0.6× 78 0.5× 157 1.2× 176 1.6× 18 0.4× 42 522
Seth R. Cohen United States 5 793 1.0× 234 1.4× 224 1.7× 306 2.8× 46 1.0× 7 851
Jeetinder Kaur Makkar India 17 538 0.7× 138 0.8× 137 1.0× 304 2.8× 41 0.9× 75 776

Countries citing papers authored by David B. Auyong

Since Specialization
Citations

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

Fields of papers citing papers by David B. Auyong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David B. Auyong

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Auyong. A scholar is included among the top collaborators of David B. Auyong 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 David B. Auyong. David B. Auyong 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.
Hanson, Neil A., et al.. (2020). Reduced length of hospitalization and associated healthcare costs using an enhanced recovery pathway after kidney transplant surgery. Journal of Clinical Anesthesia. 65. 109855–109855. 3 indexed citations
2.
Auyong, David B., Stanley C. Yuan, Thomas Biehl, et al.. (2019). Continuous Transversus Abdominis Plane Block for Primary Open Inguinal Hernia Repair: A Randomized, Double-Blind, Placebo-Controlled Trial. Pain Medicine. 21(2). e201–e207. 8 indexed citations
3.
4.
Auyong, David B., et al.. (2017). Successful Continuous Adductor Canal Block Placement in a Patient With Absent Sartorius Muscle. A & A Case Reports. 9(4). 101–104. 1 indexed citations
5.
Auyong, David B., et al.. (2017). Comparison of Continuous Proximal Versus Distal Adductor Canal Blocks for Total Knee Arthroplasty. Regional Anesthesia & Pain Medicine. 43(1). 36–42. 28 indexed citations
6.
Hanson, Neil A., et al.. (2016). Continuous ambulatory adductor canal catheters for patients undergoing knee arthroplasty surgery. Journal of Clinical Anesthesia. 35. 190–194. 20 indexed citations
7.
Auyong, David B., et al.. (2016). Bilateral Continuous Suprascapular Nerve Blocks for Bilateral Shoulder Hemiarthroplasty. A & A Case Reports. 7(6). 125–128. 2 indexed citations
8.
Hanson, Neil A., et al.. (2016). A Novel Approach to Brachial Plexus Catheter Management. A & A Case Reports. 7(6). 139–142. 2 indexed citations
9.
Bullock, W. Michael, Suraj Yalamuri, Stephen H. Gregory, David B. Auyong, & Stuart Grant. (2016). Ultrasound‐Guided Suprainguinal Fascia Iliaca Technique Provides Benefit as an Analgesic Adjunct for Patients Undergoing Total Hip Arthroplasty. Journal of Ultrasound in Medicine. 36(2). 433–438. 32 indexed citations
10.
Auyong, David B., et al.. (2016). Evaluation of Ultrasound-Assisted Thoracic Epidural Placement in Patients Undergoing Upper Abdominal and Thoracic Surgery. Regional Anesthesia & Pain Medicine. 42(2). 204–209. 36 indexed citations
11.
Yuan, Stanley C., Neil A. Hanson, David B. Auyong, et al.. (2015). Fluoroscopic Evaluation of Contrast Distribution Within the Adductor Canal. Regional Anesthesia & Pain Medicine. 40(2). 154–157. 13 indexed citations
12.
Auyong, David B. & Stanley C. Yuan. (2015). Virtual Cadaver Laboratory—Anatomy Pearls in Regional Anesthesia to Improve Clinical Success. ASA Refresher Courses in Anesthesiology. 43(1). 27–33. 1 indexed citations
13.
Hanson, Neil A., et al.. (2014). Continuous Ultrasound-Guided Adductor Canal Block for Total Knee Arthroplasty. Anesthesia & Analgesia. 118(6). 1370–1377. 114 indexed citations
14.
Auyong, David B., et al.. (2014). Selective blockade of the dorsal scapular nerve for scapula surgery. Journal of Clinical Anesthesia. 26(8). 684–687. 12 indexed citations
15.
Hanson, Neil A., Ryan Derby, David B. Auyong, et al.. (2013). Ultrasound-guided adductor canal block for arthroscopic medial meniscectomy: a randomized, double-blind trial. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 60(9). 874–880. 58 indexed citations
16.
Auyong, David B., et al.. (2013). Ultrasound Guided Regional Anesthesia. Oxford University Press eBooks. 1 indexed citations
17.
Auyong, David B., et al.. (2011). Recognition of an Incidental Abscess and a Hematoma During Ultrasound-Guided Femoral Nerve Block. Regional Anesthesia & Pain Medicine. 36(4). 406–409. 2 indexed citations
18.
Auyong, David B., Stephen M. Klein, Tong J. Gan, et al.. (2010). Processed Electroencephalogram During Donation After Cardiac Death. Anesthesia & Analgesia. 110(5). 1428–1432. 39 indexed citations
19.
Olson, DaiWai M., Suzanne M. Thoyre, & David B. Auyong. (2007). Perspectives on Sedation Assessment in Critical Care. AACN Advanced Critical Care. 18(4). 380–395. 17 indexed citations
20.
Olson, DaiWai M., Suzanne M. Thoyre, & David B. Auyong. (2007). Perspectives on Sedation Assessment in Critical Care. AACN Advanced Critical Care. 18(4). 380–395. 3 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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