Sam Colman

37 papers receiving 994 citations

Peers

Sam Colman
Comparison fields: 5 of 102
  • Cardiology and Cardiovascular Medicine 228
  • Urology 49
  • Pediatrics, Perinatology and Child Health 120
  • Epidemiology 174
  • Internal Medicine 17
Replace Nikola Kocev with:
Nikola Kocev Serbia
Uffe Heide‐Jørgensen Denmark
Keewhan Kim South Korea
Jason Nelson United States
Jee-Ae Kim South Korea
Marjolijn van Buren Netherlands
Joyce Lii United States
Thomas Wilke Germany
Chin-Hua Wang United States
Pierre‐Olivier Blotière France
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Citations per field
00.5×4.5×
Nikola Kocev · 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003175
2 2004119
3 200591
4 200578
5 200670
6 201366
7 200861
8 200447
9 202039
10 200433
11 200731
12 200629
13 202029
14 201626
15 201320
16 201720
17
Active faults of the Baikal depression
199720
18 201619
19 202010
20 20199

About Sam Colman

Sam Colman is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Small Animals and Pathology and Forensic Medicine, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (3 papers), Multiple Sclerosis Research Studies (3 papers), Veterinary medicine and infectious diseases (3 papers), Sinusitis and nasal conditions (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Potassium and Related Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (228 citations), Urology (49 citations), Pediatrics, Perinatology and Child Health (120 citations), Epidemiology (174 citations) and Internal Medicine (17 citations). Sam Colman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Bruce Neal, Stephen MacMahon, John Chalmers, Mark Woodward, Rachel Huxley, Craig S. Anderson, Christopher G. Owen, Marie‐Germaine Bousser, Derek G. Cook and Rory Collins. Their work appears in journals such as Value in Health, Open Forum Infectious Diseases, Stroke, Multiple Sclerosis Journal and Nephrology Dialysis Transplantation.

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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