Magne Nylenna

2.9k citations
112 papers · 1.6k · h-index 19

Impact in

Papers in

Magne Nylenna

92 papers receiving 1.4k citations

Peers

Magne Nylenna
Comparison fields: 5 of 147
  • Statistics, Probability and Uncertainty 243
  • Medical Terminology 5
  • General Health Professions 440
  • Pharmacology 133
  • Health Informatics 19
Replace Annette Flanagin with:
Annette Flanagin United States
Quinn Grundy Canada
Darko Hren Croatia
Richard Horton South Africa
Louise Hall United Kingdom
Daniel Strech Germany
Shane P. Desselle United States
Agnes Grudniewicz Canada
Sabine Kleinert South Africa
Leslie H. Nicoll United States
Magne Nylenna relative to Annette Flanagin United States Annette Flanagin's profile →
Citations per field
00.5×1.6×
Annette Flanagin · 1×
Citations per year

Countries citing papers authored by Magne Nylenna

Since Specialization
Citations

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

Fields of papers citing papers by Magne Nylenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997245
2 1988144
3 1994100
4 200592
5 200179
6 200958
7 201552
8 200951
9 201050
10 200550
11 201444
12 199943
13 201932
14 200630
15 200629
16 200228
17 198523
18 200219
19 201518
20 201518

About Magne Nylenna

Magne Nylenna is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Social Psychology, Psychiatry and Mental health and Pharmacology, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Healthcare professionals’ stress and burnout (9 papers), Education, Healthcare and Sociology Research (8 papers), Ethics in Clinical Research (8 papers), Patient-Provider Communication in Healthcare (7 papers), Pharmaceutical industry and healthcare (6 papers), Health and Medical Research Impacts (6 papers), Healthcare Systems and Technology (6 papers) and Biomedical Ethics and Regulation (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (243 citations), Medical Terminology (5 citations), General Health Professions (440 citations), Pharmacology (133 citations) and Health Informatics (19 citations). Magne Nylenna has collaborated with scholars based in Norway, Sweden and Denmark. Frequent co-authors include Olaf Gjerløw Aasland, Pål Gulbrandsen, Judith Rosta, Frank Davidoff, Rei­dun Før­de, Robert D. Utiger, Kari Nytrøen, Ralph G. Robinson, Richard Smith and M. Gary Nicholls. Their work appears in journals such as The Lancet, Scandinavian Journal of Primary Health Care, BMJ Open, JAMA and Family Practice.

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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