Feng Dai

133 papers receiving 2.9k citations

Hit Papers

Laminectomy plus Fusion versus Laminectomy Alone for Lumbar Spondylolisthesis 2016 · 553 citations
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Peers

Feng Dai
Comparison fields: 5 of 140
  • Anesthesiology and Pain Medicine 330
  • Pathology and Forensic Medicine 726
  • Critical Care and Intensive Care Medicine 188
  • Pharmacology 514
  • Urology 189
Replace L. Jorfeldt with:
L. Jorfeldt Sweden
Xin Shelley Wang United States
Honorio T. Benzon United States
Scott Segal United States
François Harel Canada
George Shorten Ireland
Ole Mathiesen Denmark
James P. Rathmell United States
Patrice Forget Belgium
Georgia Kostopanagiotou Greece
Feng Dai relative to L. Jorfeldt Sweden L. Jorfeldt's profile →
Citations per field
00.5×4.4×
L. Jorfeldt · 1×
Citations per year

Countries citing papers authored by Feng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Feng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20241
6 20235
7 20221
8 20227
9 20217
10 202117
11 202111
12 20184
13 201815
14 201719
15 20161
16 201535
17 201411
18 20136
19 20138
20 200947

About Feng Dai

Feng Dai is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Surgery and Family Practice, having authored 141 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (31 papers), Anesthesia and Pain Management (21 papers), Pain Management and Opioid Use (13 papers), Hemodynamic Monitoring and Therapy (13 papers), Anesthesia and Sedative Agents (11 papers), Nausea and vomiting management (8 papers), Atrial Fibrillation Management and Outcomes (7 papers) and Spine and Intervertebral Disc Pathology (6 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (330 citations), Pathology and Forensic Medicine (726 citations), Critical Care and Intensive Care Medicine (188 citations), Pharmacology (514 citations) and Urology (189 citations). Feng Dai has collaborated with scholars based in United States, China and France. Frequent co-authors include Brittany G. Craiglow, Brett King, Lucy Liu, Inna Belfer, Robert B. Schonberger, J. Sanford Schwartz, Sepideh Amin‐Hanjani, Edward C. Benzel, James Dziura and Jean-Valery Coumans. Their work appears in journals such as Anesthesia & Analgesia, Journal of Clinical Anesthesia, Journal of Cardiothoracic and Vascular Anesthesia, PLoS ONE 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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