Feng Dai

134 papers and 2.8k indexed citations i.

About

Feng Dai is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Feng Dai has authored 134 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Surgery, 42 papers in Cardiology and Cardiovascular Medicine and 24 papers in Anesthesiology and Pain Medicine. Recurrent topics in Feng Dai’s work include Cardiac, Anesthesia and Surgical Outcomes (30 papers), Anesthesia and Pain Management (20 papers) and Pain Management and Opioid Use (13 papers). Feng Dai is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (30 papers), Anesthesia and Pain Management (20 papers) and Pain Management and Opioid Use (13 papers). Feng Dai collaborates with scholars based in United States, China and France. Feng Dai's co-authors include Brett King, Brittany G. Craiglow, Lucy Liu, Inna Belfer, Robert B. Schonberger, J. Sanford Schwartz, Fred G. Barker, Edward C. Benzel, James Dziura and Norma Terrin and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of Feng Dai i

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.

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).

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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2025