Sam Colman

1.4k citations
39 papers · 1.1k · h-index 17

Impact in

Papers in

Sam Colman

37 papers receiving 1.1k citations

Peers

Sam Colman
Comparison fields: 5 of 87
  • Cardiology and Cardiovascular Medicine 300
  • Urology 63
  • Pediatrics, Perinatology and Child Health 108
  • Applied Psychology 33
  • Epidemiology 164
Replace Wendy J. Carman with:
Wendy J. Carman United States
Ellen V. Rouwet Netherlands
Bram Bernstein United States
Betina T. Blak United Kingdom
Christopher B. Pierce United States
Neri Alejandro Álvarez‐Villalobos Mexico
Melisa J. Litchfield Australia
Caroline Main United Kingdom
Nikola I. Kocev Serbia
Shivani P. Shah United States
Sam Colman relative to Wendy J. Carman United States Wendy J. Carman's profile →
Citations per field
00.5×2×4×5.5×
Wendy J. Carman · 1×
Citations per year

Countries citing papers authored by Sam Colman

Since Specialization
Citations

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

Fields of papers citing papers by Sam Colman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003204
2 2004120
3 2005102
4 200589
5 200676
6 201369
7 200864
8 200455
9 202044
10 200440
11 200632
12 202032
13 200731
14 201627
15 201721
16 201320
17 201620
18 202212
19 202010
20 20219

About Sam Colman

Sam Colman is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Economics and Econometrics and Otorhinolaryngology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Opioid Use Disorder Treatment (4 papers), Pneumonia and Respiratory Infections (3 papers), Acute Ischemic Stroke Management (3 papers), Multiple Sclerosis Research Studies (3 papers), Schizophrenia research and treatment (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (300 citations), Urology (63 citations), Pediatrics, Perinatology and Child Health (108 citations), Applied Psychology (33 citations) and Epidemiology (164 citations). Sam Colman has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Bruce Charles Neal, Stephen W MacMahon, Mark Woodward, John Philip Chalmers, Rachel Huxley, Craig S. Anderson, Marie‐Germaine Bousser, Neil Chapman, Bruce V. Taylor and Andrew John Palmer. Their work appears in journals such as Value in Health, Open Forum Infectious Diseases, Stroke, Multiple Sclerosis Journal and Advances in Therapy.

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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