Daniel K. Low

1.0k citations
37 papers · 560 · h-index 12

Impact in

Papers in

Daniel K. Low

32 papers receiving 536 citations

Peers

Daniel K. Low
Comparison fields: 5 of 76
  • Anesthesiology and Pain Medicine 115
  • Emergency Medical Services 75
  • Gender Studies 93
  • Medical Laboratory Technology 7
  • Family Practice 7
Replace Timothy R. Long with:
Timothy R. Long United States
Eugene S. Chu United States
Nikhil Panda United States
Luis Tollinche United States
Pedro Tanaka United States
Brian T. Fry United States
Mary Westergaard United States
Amy N. Hildreth United States
Viji Kurup United States
Francesca Dimou United States
Daniel K. Low relative to Timothy R. Long United States Timothy R. Long's profile →
Citations per field
00.5×4.0×
Timothy R. Long · 1×
Citations per year

Countries citing papers authored by Daniel K. Low

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K. Low. 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 K. Low. The network helps show where Daniel K. Low may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019154
2 200883
3 202038
4 201533
5 201732
6 201325
7 201323
8 201221
9 202315
10 201413
11 201312
12 202011
13 200810
14 20218
15 20228
16 20238
17 20207
18 20227
19 20136
20 20235

About Daniel K. Low

Daniel K. Low is a scholar working on Emergency Medical Services, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Health Information Management, having authored 37 papers that have together received 560 indexed citations. Recurring topics across this work include Patient Safety and Medication Errors (7 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Healthcare Quality and Management (4 papers), Renal and Vascular Pathologies (2 papers), Obstructive Sleep Apnea Research (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Enhanced Recovery After Surgery (2 papers) and Airway Management and Intubation Techniques (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (115 citations), Emergency Medical Services (75 citations), Gender Studies (93 citations), Medical Laboratory Technology (7 citations) and Family Practice (7 citations). Daniel K. Low has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Lynn D. Martin, David W. Healy, Neil Rasburn, Anne Eacker, Leo S. Morales, Gregory J. Latham, Mark A. Reed, David E. Liston, Amber M. Franz and Sally E. Rampersad. Their work appears in journals such as Anesthesia & Analgesia, Pediatric Anesthesia, Journal of Pediatric Urology, Journal of Perinatology and Clinical Radiology.

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.

Explore authors with similar magnitude of impact