S. J. Machin

1.2k total citations · 1 hit paper
8 papers, 882 citations indexed

About

S. J. Machin is a scholar working on Rheumatology, Internal Medicine and Hematology. According to data from OpenAlex, S. J. Machin has authored 8 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rheumatology, 3 papers in Internal Medicine and 3 papers in Hematology. Recurrent topics in S. J. Machin's work include Systemic Lupus Erythematosus Research (6 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Viral Infections and Immunology Research (1 paper). S. J. Machin is often cited by papers focused on Systemic Lupus Erythematosus Research (6 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Viral Infections and Immunology Research (1 paper). S. J. Machin collaborates with scholars based in United Kingdom. S. J. Machin's co-authors include Jordi Barquinero, R. H. W. M. Derksen, Munther A. Khamashta, E. Nigel Harris, Graham R.V. Hughes, Ronald A. Asherson, José Ordi-Ros, G. Purdy, IJ Mackie and Ian Mackie and has published in prestigious journals such as British Journal of Haematology, Thrombosis and Haemostasis and Blood Coagulation & Fibrinolysis.

In The Last Decade

S. J. Machin

8 papers receiving 836 citations

Hit Papers

The "primary" antiphospholipid syndrome: major clinical a... 1989 2026 2001 2013 1989 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. J. Machin United Kingdom 7 702 330 130 124 118 8 882
Margarita Delezé Mexico 14 807 1.1× 340 1.0× 164 1.3× 103 0.8× 199 1.7× 20 1.2k
F Mujić United Kingdom 7 965 1.4× 566 1.7× 95 0.7× 102 0.8× 258 2.2× 9 1.2k
Francisco J. Muñoz Spain 14 609 0.9× 370 1.1× 79 0.6× 116 0.9× 262 2.2× 25 1.2k
Silvia Bucciarelli Spain 14 778 1.1× 450 1.4× 60 0.5× 183 1.5× 152 1.3× 14 950
J. L. Vianna United Kingdom 11 632 0.9× 231 0.7× 93 0.7× 115 0.9× 77 0.7× 12 741
Asherson Ra United Kingdom 11 638 0.9× 236 0.7× 91 0.7× 79 0.6× 80 0.7× 20 773
Tasneem Qamar United States 8 769 1.1× 322 1.0× 158 1.2× 59 0.5× 87 0.7× 8 893
MC Boffa France 15 991 1.4× 655 2.0× 78 0.6× 197 1.6× 186 1.6× 28 1.4k
Derksen Rh Netherlands 9 551 0.8× 348 1.1× 142 1.1× 54 0.4× 77 0.7× 14 663
Elaine Baguley United Kingdom 13 614 0.9× 161 0.5× 91 0.7× 74 0.6× 88 0.7× 20 765

Countries citing papers authored by S. J. Machin

Since Specialization
Citations

This map shows the geographic impact of S. 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 S. 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 S. J. Machin more than expected).

Fields of papers citing papers by S. J. Machin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Machin. A scholar is included among the top collaborators of S. 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 S. J. Machin. S. J. Machin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Gardiner, Chris, Ian Mackie, R G Malía, et al.. (2000). The importance of locally derived reference ranges and standardized calculation of dilute Russell's viper venom time results in screening for lupus anticoagulant. British Journal of Haematology. 111(4). 1230–1235. 45 indexed citations
2.
Mackie, IJ, G. Purdy, S. J. Machin, & Andrew Lawrie. (2000). Effect of Instruments on Lupus Anticoagulant Testing – Rebuttal. Thrombosis and Haemostasis. 83(2). 346–348. 1 indexed citations
3.
Mackie, IJ, G. Purdy, S. J. Machin, & Andrew Lawrie. (1999). The Sensitivity and Specificity of Commercial Reagents for the Detection of Lupus Anticoagulant Show Marked Differences in Performance between Photo-optical and Mechanical Coagulometers. Thrombosis and Haemostasis. 81(5). 758–762. 60 indexed citations
4.
Purdy, G., et al.. (1997). Monitoring of oral anticoagulant therapy in lupus anticoagulant positive patients with the anti‐phospholipid syndrome. British Journal of Haematology. 98(4). 887–892. 38 indexed citations
5.
Vadher, Bipin, et al.. (1993). Life‐threatening thrombotic and haemorrhagic problems associated with silent myeloproliferative disorders. British Journal of Haematology. 85(1). 213–216. 7 indexed citations
6.
Cummins, David, et al.. (1992). Lassa fever encephalopathy: clinical and laboratory findings.. PubMed. 95(3). 197–201. 41 indexed citations
7.
Keeling, David, et al.. (1990). Multiple transient ischaemic attacks and a mild thrombotic stroke in a HIV-positive patient with anticardiolipin antibodies. Blood Coagulation & Fibrinolysis. 1(3). 333–336. 22 indexed citations
8.
Asherson, Ronald A., Munther A. Khamashta, José Ordi-Ros, et al.. (1989). The "primary" antiphospholipid syndrome: major clinical and serological features.. PubMed. 68(6). 366–74. 668 indexed citations breakdown →

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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