Daniel M. Fein

24 papers receiving 245 citations

Peers

Daniel M. Fein
Comparison fields: 5 of 56
  • Family Practice 19
  • Emergency Medicine 33
  • Physiology 80
  • Emergency Medical Services 17
  • Public Health, Environmental and Occupational Health 51
Replace Robert Frengley with:
Robert Frengley New Zealand
Richard R. Kyle United States
Timothy Chaplin Canada
Laurie H. Plotnick Canada
Itay Keshet Canada
J. Bokobza France
Lynn Schweer United States
Anne‐Laure Philippon France
Shelly P. Dev Canada
J.D. Greaves United Kingdom
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Citations per year

Countries citing papers authored by Daniel M. Fein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Fein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201565
2 201354
3 201626
4 201822
5 201612
6 201311
7 20139
8 20118
9 20228
10 20166
11 20203
12 20203
13 20183
14 20163
15 20153
16 20113
17 20212
18 20202
19 20112
20 20221

About Daniel M. Fein

Daniel M. Fein is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Emergency Medicine, Surgery and Pathology and Forensic Medicine, having authored 27 papers that have together received 250 indexed citations. Recurring topics across this work include Simulation-Based Education in Healthcare (5 papers), Vasculitis and related conditions (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Alcohol Consumption and Health Effects (2 papers), Poisoning and overdose treatments (2 papers), Innovations in Medical Education (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Family Practice (19 citations), Emergency Medicine (33 citations), Physiology (80 citations), Emergency Medical Services (17 citations) and Public Health, Environmental and Occupational Health (51 citations). Daniel M. Fein has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David Kessler, Martin Pusic, Todd P. Chang, Marc Auerbach, Hnin Khine, Jeffrey R. Avner, Renuka Mehta, Travis Whitfill, Marjorie Lee White and Deepa Manwani. Their work appears in journals such as Pediatric Emergency Care, Simulation in Healthcare The Journal of the Society for Simulation in Healthcare, PEDIATRICS, Pediatric Blood & Cancer and Journal of Emergency Medicine.

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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