Daniel R. Longo

2.9k citations
72 papers · 2.0k indexed · h-index 26

Impact in

Papers in

Daniel R. Longo

70 papers receiving 1.9k citations

Peers

Daniel R. Longo
Comparison fields: 5 of 134
  • Health Information Management 275
  • General Health Professions 940
  • Pharmacy 137
  • Emergency Medical Services 188
  • Medical Terminology 6
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Citations per field
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Citations per year

Countries citing papers authored by Daniel R. Longo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Longo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017155
2 201721
3 201612
4 20155
5 201341
6
Contributo alla conoscenza floristica del settore settentrionale del Gran Sasso d’Italia (Parco Nazionale del Gran Sasso e Monti della Laga) (Abruzzo): resoconto dell’escursione del Gruppo di Floristica (S.B.I.) nel 2010
20123
7 201287
8 201150
9 200928
10 200852
11 20072
12
Characteristics of smoking cessation guideline use by primary care physicians.
200612
13 200615
14 200512
15 20046
16 20041
17
How to reform the health care system given the experience of past failures.
20021
18 200138
19 199864
20 19943

About Daniel R. Longo

Daniel R. Longo is a scholar working on General Health Professions, Health Information Management, Emergency Medical Services, Radiological and Ultrasound Technology and Economics and Econometrics, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Patient-Provider Communication in Healthcare (13 papers), Healthcare Policy and Management (12 papers), Primary Care and Health Outcomes (11 papers), Patient Satisfaction in Healthcare (10 papers), Smoking Behavior and Cessation (8 papers), Health Literacy and Information Accessibility (6 papers), Healthcare Systems and Technology (5 papers) and Geriatric Care and Nursing Homes (5 papers). The work is most often cited by research in Health Information Management (275 citations), General Health Professions (940 citations), Pharmacy (137 citations), Emergency Medical Services (188 citations) and Medical Terminology (6 citations). Daniel R. Longo has collaborated with scholars based in United States, New Zealand and Spain. Frequent co-authors include Alex H. Krist, John E. Hewett, Rebecca A. Aycock, Sebastian T. Tong, Bin Ge, Shari Schubert, Steven H. Woolf, Robin L. Kruse, Ross C. Brownson and Richard Madsen. Their work appears in journals such as JAMA, Journal of the American Medical Directors Association, Health Expectations, Patient and The Annals of Family 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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