Daniel Pak
Impact in
-
- Pain Management and Treatment
- Orthopedics and Sports Medicine top 10%
- Foot and Ankle Surgery
- Sports injuries and prevention
- Tendon Structure and Treatment
Papers in
- Surgery 10
- Anesthesia and Pain Management 5
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- Pain Management and Treatment 6
- Pain Management and Opioid Use 2
- Co-authors
- R. Jason Yong (1 shared paper)Alan D. Kaye (1 shared paper)Richard D. Urman (1 shared paper)Toby O. Smith (1 shared paper)Amitabh Gulati (6 shared papers)Adam Brothers (5 shared papers)Thomas Manley (1 shared paper)Scott J. Weissman (5 shared papers)
- Journals
- Regional Anesthesia & Pain Medicine (6 papers)International Journal of Radiation Oncology*Biology*Physics (5 papers)Current Pain and Headache Reports (5 papers)Journal of the Pediatric Infectious Diseases Society (2 papers)CHEST Journal (2 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Daniel Pak
24 papers receiving 386 citations
Peers
Comparison fields: 5 of 79
- Anesthesiology and Pain Medicine 71
- Orthopedics and Sports Medicine 56
- Molecular Medicine 26
- Pharmacology 84
- Microbiology 26
Countries citing papers authored by Daniel Pak
This map shows the geographic impact of Daniel Pak'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 Daniel Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Pak more than expected).
Fields of papers citing papers by Daniel Pak
This network shows the impact of papers produced by Daniel Pak. 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 Daniel Pak. The network helps show where Daniel Pak may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Pak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 102 | |
| 2 | 2012 | 68 | |
| 3 | 2010 | 60 | |
| 4 | 2020 | 30 | |
| 5 | 2020 | 23 | |
| 6 | 2011 | 19 | |
| 7 | 2020 | 19 | |
| 8 | 2012 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2019 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2010 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Daniel Pak
Daniel Pak is a scholar working on Surgery, Anesthesiology and Pain Medicine, Pharmacology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 399 indexed citations. Recurring topics across this work include Pain Management and Treatment (6 papers), Anesthesia and Pain Management (5 papers), Musculoskeletal pain and rehabilitation (5 papers), Pain Mechanisms and Treatments (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Pain Management and Opioid Use (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (71 citations), Orthopedics and Sports Medicine (56 citations), Molecular Medicine (26 citations), Pharmacology (84 citations) and Microbiology (26 citations). Daniel Pak has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include R. Jason Yong, Alan D. Kaye, Richard D. Urman, Toby O. Smith, Amitabh Gulati, Adam Brothers, Thomas Manley, Scott J. Weissman, Samuel R. Browd and John K. McGuire. Their work appears in journals such as Regional Anesthesia & Pain Medicine, International Journal of Radiation Oncology*Biology*Physics, Current Pain and Headache Reports, Journal of the Pediatric Infectious Diseases Society and CHEST Journal.
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.