Sam Machin

2.1k citations
16 papers · 1.4k · h-index 10

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Hematology top 1%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Blood groups and transfusion

Papers in

    • Platelet Disorders and Treatments 7
    • Blood groups and transfusion 5
    • Renal Diseases and Glomerulopathies 2

Sam Machin

16 papers receiving 1.3k citations

Peers

Sam Machin
Comparison fields: 5 of 96
  • Internal Medicine 378
  • Hematology 737
  • Nephrology 167
  • Rheumatology 311
  • Cardiology and Cardiovascular Medicine 284
Replace Takeshi Matsumoto with:
Takeshi Matsumoto Japan
Fabrizio Fabris Italy
Emmanuel de Maistre France
Aldo Salvi Italy
Jasmina Ahluwalia India
Robert Bona United States
David Sutton Canada
Nicholas Bandarenko United States
Leonardo Pasalic Australia
Yoshihiro Wakita Japan
Sam Machin relative to Takeshi Matsumoto Japan Takeshi Matsumoto's profile →
Citations per field
00.5×7.8×
Takeshi Matsumoto · 1×
Citations per year

Countries citing papers authored by Sam Machin

Since Specialization
Citations

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

Fields of papers citing papers by Sam Machin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011323
2 2010318
3 2011275
4 2009150
5 2019106
6 200174
7 199438
8 202027
9 198716
10 200514
11 19957
12 20235
13 20014
14 19931
15 20031
16 19961

About Sam Machin

Sam Machin is a scholar working on Hematology, Nephrology, Cardiology and Cardiovascular Medicine, Biochemistry and Immunology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (7 papers), Blood groups and transfusion (5 papers), Blood transfusion and management (3 papers), Renal Diseases and Glomerulopathies (2 papers), Complement system in diseases (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Blood properties and coagulation (2 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (2 papers). The work is most often cited by research in Internal Medicine (378 citations), Hematology (737 citations), Nephrology (167 citations), Rheumatology (311 citations) and Cardiology and Cardiovascular Medicine (284 citations). Sam Machin has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ian Mackie, Paul Harrison, Carol Briggs, Mark Winter, Andrew Mumford, Ri Liesner, Stephen J. Wigmore, C. Mark Taylor, Tim Goodship and Robin L. Brey. Their work appears in journals such as British Journal of Haematology, Blood Coagulation & Fibrinolysis, Cytometry Part B Clinical Cytometry, Journal of Thrombosis and Haemostasis and American Journal of Clinical Pathology.

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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