Samuel Iff

33 papers receiving 1.2k citations

Samuel Iff's Hit Papers

All cause and disease specific mortality in patients with knee or hip osteoarthritis: population based cohort study 2011 · 573 citations
5730+5+10Years since publication100200300400500

Peers

Samuel Iff
Comparison fields: 5 of 112
  • Rheumatology 321
  • Nephrology 58
  • Pharmacology 102
  • Equine 9
  • Clinical Psychology 84
Replace Alvar Svanborg with:
Alvar Svanborg Sweden
Sarah Tess Brown United Kingdom
Fatma Fidan Türkiye
Vera Neumann United Kingdom
Elliott L. Semble United States
Tess E Cooper Australia
Dick Bijl Netherlands
Tuomas V. Kerola Finland
Roman Hari Switzerland
Mehrdad Sheikhvatan Iran
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Countries citing papers authored by Samuel Iff

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Iff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
All cause and disease specific mortality in patients with knee or hip osteoarthritis: population based cohort study
Hit paper breakdown →
2011573
2 2013122
3 202274
4 202072
5 201449
6 201446
7 200826
8 201620
9 200720
10 201519
11 201815
12 201715
13 201112
14 202211
15 201411
16 201311
17 201310
18 20249
19 20228
20 20148

About Samuel Iff

Samuel Iff is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Psychiatry and Mental health, Clinical Psychology and Sociology and Political Science, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Doping in Sports (5 papers), Hormonal and reproductive studies (4 papers), Eating Disorders and Behaviors (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Sexual function and dysfunction studies (2 papers), Sport Psychology and Performance (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Rheumatology (321 citations), Nephrology (58 citations), Pharmacology (102 citations), Equine (9 citations) and Clinical Psychology (84 citations). Samuel Iff has collaborated with scholars based in Switzerland, Germany and Australia. Frequent co-authors include Peter Jüni, Stephan Reichenbach, Eveline Nüesch, Paul A Dieppe, Shanna Williams, Jonathan C. Craig, Paul Mitchell, Germaine Wong, Malte Christian Claussen and Jie J. Wang. Their work appears in journals such as Swiss Medical Weekly, Frontiers in Sports and Active Living, Clinical Nutrition, American Journal of Kidney Diseases and PLoS ONE.

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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