Daniel Pak

24 papers and 342 indexed citations i.

About

Daniel Pak is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Pak has authored 24 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Pak’s work include Pain Management and Treatment (5 papers), Musculoskeletal pain and rehabilitation (4 papers) and Anesthesia and Pain Management (4 papers). Daniel Pak is often cited by papers focused on Pain Management and Treatment (5 papers), Musculoskeletal pain and rehabilitation (4 papers) and Anesthesia and Pain Management (4 papers). Daniel Pak collaborates with scholars based in United States, The Netherlands and United Kingdom. Daniel Pak's co-authors include R. Jason Yong, Richard D. Urman, Alan D. Kaye, Toby O. Smith, Scott J. Weissman, Adam Brothers, Angela Campbell, Samuel R. Browd, John K. McGuire and Amitabh Gulati and has published in prestigious journals such as Clinical Infectious Diseases, CHEST Journal and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Co-authorship network of co-authors of Daniel Pak i

Fields of papers citing papers by Daniel Pak

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Daniel Pak. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Pak may publish in the future.

Countries citing papers authored by Daniel Pak

Since Specialization
Citations

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).

Rankless by CCL
2025