Daniel Kim

162 papers receiving 2.5k citations

Peers

Daniel Kim
Comparison fields: 5 of 179
  • Critical Care and Intensive Care Medicine 282
  • Emergency Medicine 209
  • Radiology, Nuclear Medicine and Imaging 402
  • Internal Medicine 65
  • Cardiology and Cardiovascular Medicine 391
Replace Manoj M. Lalu with:
Manoj M. Lalu Canada
Andy Scally United Kingdom
Faisal Khosa Canada
José Ignacio Emparanza Spain
Matthew Lyon United States
Vikas Agarwal India
Paul Bassett United Kingdom
Évelyne Decullier France
David R. King United States
Mahiben Maruthappu United Kingdom
Daniel Kim relative to Manoj M. Lalu Canada Manoj M. Lalu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013287
2 2009132
3 1998122
4 199593
5 201268
6 201067
7 201962
8 201062
9 201559
10 201559
11 201756
12 201956
13 199449
14 201848
15 201146
16 200744
17 201739
18 201336
19 200436
20 201931

About Daniel Kim

Daniel Kim is a scholar working on Surgery, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 180 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (30 papers), Radiology practices and education (18 papers), Technology Adoption and User Behaviour (13 papers), Radiation Dose and Imaging (9 papers), Digital Marketing and Social Media (9 papers), Airway Management and Intubation Techniques (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and Emergency and Acute Care Studies (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (282 citations), Emergency Medicine (209 citations), Radiology, Nuclear Medicine and Imaging (402 citations), Internal Medicine (65 citations) and Cardiology and Cardiovascular Medicine (391 citations). Daniel Kim has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Kevin S. Irwin, Kaveh Khoshnood, Antonios G. Mikos, Markus S. Widmer, Susan J. Peter, Mohammad Salehan, Paul Olszynski, David Kline, Mark I. Neuman and Sonal Shah. Their work appears in journals such as Canadian Journal of Emergency Medicine, Journal of the Association for Information Systems, Journal of Emergency Medicine, Academic Emergency Medicine and Neurosurgical FOCUS.

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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