Samuel J. Machin

14.3k citations
205 papers · 9.5k indexed · 2 hit papers · h-index 53
Topics
Platelet Disorders and Treatments (69 papers)Complement system in diseases (49 papers)Blood Coagulation and Thrombosis Mechanisms (34 papers)

In The Last Decade

Samuel J. Machin

201 papers receiving 9.1k citations

Hit Papers

Guidelines on the diagnosis and management of thrombotic ...201220262016202120122016100200300400500

Peers

Samuel J. Machin
Comparison fields: 5 of 144
  • Hematology 4.4k
  • Immunology 3.1k
  • Nephrology 1.7k
  • Genetics 1.7k
  • Rheumatology 1.6k
Replace Ian Mackie with:
Ian Mackie United Kingdom
Hannah Cohen United Kingdom
I. Scharrer Germany
Ravi Sarode United States
Flora Peyvandi Italy
John G. Kelton Canada
Hau C. Kwaan United States
Bernhard Lämmle Switzerland
Frank W.G. Leebeek Netherlands
Paul A. Kyrle Austria
Samuel J. Machin relative to Ian Mackie United Kingdom Ian Mackie's profile →
Citations per field
00.5×1.6×
Ian Mackie · 1×
Citations per year

Countries citing papers authored by Samuel J. Machin

Since Specialization
Citations

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

Fields of papers citing papers by Samuel J. Machin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel J. Machin

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel J. Machin. A scholar is included among the top collaborators of Samuel J. Machin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel J. Machin. Samuel J. Machin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 63
2 18
3 131
4 44
5 18
6 65
7 34
8 197
9 29
10 98
11 48
12 5
13 9
14 46
15 248
16 25
17 7
18 63
19 16
20 6

About Samuel J. Machin

Samuel J. Machin is a scholar working on Hematology, Internal Medicine and Genetics, having authored 205 papers that have together received 9.5k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (69 papers), Complement system in diseases (49 papers) and Blood Coagulation and Thrombosis Mechanisms (34 papers). The work is most often cited by research in Hematology (4.4k citations), Internal Medicine (1.2k citations) and Nephrology (1.7k citations). Samuel J. Machin has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Ian Mackie, Marie Scully, Hannah Cohen, Beverley J. Hunt, Paul Harrison, Carol Briggs, Ri Liesner, Sylvia Benjamin, David Isenberg and Peter Rose. Their work appears in journals such as The Lancet, Blood and CHEST Journal.

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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