Chad E. Darling

2.6k citations
72 papers · 1.9k · h-index 25

Impact in

Papers in

Chad E. Darling

71 papers receiving 1.9k citations

Peers

Chad E. Darling
Comparison fields: 5 of 118
  • Developmental Neuroscience 211
  • Emergency Medicine 316
  • Cardiology and Cardiovascular Medicine 662
  • Pathology and Forensic Medicine 463
  • Family Practice 29
Replace Georg Fröhlich with:
Georg Fröhlich Germany
Stephan A. Loer Netherlands
Jean-Luc Fellahi France
Domenico De Santis Italy
Tom Pedersen Denmark
Michael Sander Germany
Jari Laurikka Finland
David Zygun Canada
Lars Algotsson Sweden
Selçuk Adabağ United States
Chad E. Darling relative to Georg Fröhlich Germany Georg Fröhlich's profile →
Citations per field
00.5×9.7×
Georg Fröhlich · 1×
Citations per year

Countries citing papers authored by Chad E. Darling

Since Specialization
Citations

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

Fields of papers citing papers by Chad E. Darling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad E. Darling. 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 Chad E. Darling. The network helps show where Chad E. Darling may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005177
2 2010114
3 2008108
4 2015106
5 200387
6 199880
7 200776
8 201673
9 201369
10 201466
11 201460
12 201548
13 201445
14 200243
15 201641
16 201541
17 200939
18 200038
19 201338
20 200135

About Chad E. Darling

Chad E. Darling is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Emergency Medicine, Biomedical Engineering and Pathology and Forensic Medicine, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (10 papers), Cardiac Arrest and Resuscitation (9 papers), Cardiac Ischemia and Reperfusion (9 papers), Non-Invasive Vital Sign Monitoring (6 papers), Acute Myocardial Infarction Research (6 papers), Hemodynamic Monitoring and Therapy (5 papers), Anesthesia and Neurotoxicity Research (5 papers) and Cardiovascular Function and Risk Factors (5 papers). The work is most often cited by research in Developmental Neuroscience (211 citations), Emergency Medicine (316 citations), Cardiology and Cardiovascular Medicine (662 citations), Pathology and Forensic Medicine (463 citations) and Family Practice (29 citations). Chad E. Darling has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Karin Przyklenk, Peter Whittaker, Robert J. Goldberg, David D. McManus, Michelle Maynard, Darleen Lessard, Joel M. Gore, Jane S. Saczynski, Ki H. Chon and Jo Woon Chong. Their work appears in journals such as The American Journal of Cardiology, Academic Emergency Medicine, Journal of Medical Toxicology, Heart & Lung and Journal of the American Geriatrics Society.

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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