Caroline Baglin

3.2k total citations · 1 hit paper
15 papers, 1.6k citations indexed

About

Caroline Baglin is a scholar working on Internal Medicine, Hematology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Caroline Baglin has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Internal Medicine, 9 papers in Hematology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Caroline Baglin's work include Venous Thromboembolism Diagnosis and Management (11 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers) and Atrial Fibrillation Management and Outcomes (8 papers). Caroline Baglin is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (11 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers) and Atrial Fibrillation Management and Outcomes (8 papers). Caroline Baglin collaborates with scholars based in United Kingdom, Netherlands and France. Caroline Baglin's co-authors include Trevor Baglin, Karen Brown, Roger Luddington, R. Luddington, Astrid van Hylckama Vlieg, David J. Perry, Steve Kitchen, Henry G. Watson, Robert C. Tait and David Keeling and has published in prestigious journals such as The Lancet, Blood and British Journal of Haematology.

In The Last Decade

Caroline Baglin

15 papers receiving 1.6k citations

Hit Papers

Guidelines on oral anticoagulation with warfarin – fourth... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Baglin United Kingdom 11 1.1k 885 856 293 150 15 1.6k
Simon McRae Australia 21 742 0.7× 630 0.7× 889 1.0× 385 1.3× 167 1.1× 60 1.7k
Roger Luddington United Kingdom 18 945 0.8× 626 0.7× 1.1k 1.3× 275 0.9× 230 1.5× 28 1.7k
Huyen Tran Australia 23 742 0.7× 735 0.8× 813 0.9× 453 1.5× 107 0.7× 128 2.0k
Sanjeev Chunilal Australia 17 806 0.7× 561 0.6× 513 0.6× 213 0.7× 58 0.4× 60 1.3k
Noel Chan Canada 24 1.0k 0.9× 1.3k 1.4× 263 0.3× 284 1.0× 111 0.7× 84 1.8k
Francesco Dentali Italy 20 698 0.6× 575 0.6× 510 0.6× 177 0.6× 220 1.5× 30 1.6k
Gerd Lärfars Sweden 19 1.8k 1.6× 1.2k 1.3× 872 1.0× 720 2.5× 169 1.1× 46 2.5k
Michele G. Beckman United States 14 902 0.8× 518 0.6× 292 0.3× 264 0.9× 66 0.4× 36 1.2k
Giuliana Guazzaloca Italy 19 1.1k 1.0× 924 1.0× 411 0.5× 378 1.3× 29 0.2× 33 1.5k
Marco Paolo Donadini Italy 21 989 0.9× 659 0.7× 288 0.3× 370 1.3× 78 0.5× 69 1.4k

Countries citing papers authored by Caroline Baglin

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Baglin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Baglin

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

All Works

15 of 15 papers shown
1.
Baglin, Trevor, et al.. (2016). Prolonged clot lysis time increases the risk of a first but not recurrent venous thrombosis. British Journal of Haematology. 172(6). 947–953. 18 indexed citations
2.
Vlieg, Astrid van Hylckama, Caroline Baglin, R. Luddington, et al.. (2015). The risk of a first and a recurrent venous thrombosis associated with an elevated D‐dimer level and an elevated thrombin potential: results of the THE‐VTE study. Journal of Thrombosis and Haemostasis. 13(9). 1642–1652. 77 indexed citations
3.
Karasu, Zeki, Astrid van Hylckama Vlieg, R. Luddington, et al.. (2013). Prolonged clot lysis time is a risk factor for venous thrombosis. Journal of Thrombosis and Haemostasis. 11. 57–57. 1 indexed citations
4.
Keeling, David, Trevor Baglin, Robert C. Tait, et al.. (2011). Guidelines on oral anticoagulation with warfarin – fourth edition. British Journal of Haematology. 154(3). 311–324. 396 indexed citations breakdown →
5.
Vlieg, Astrid van Hylckama, Caroline Baglin, Lance A. Bare, Frits R. Rosendaal, & Trevor Baglin. (2008). Proof of principle of potential clinical utility of multiple SNP analysis for prediction of recurrent venous thrombosis. Journal of Thrombosis and Haemostasis. 6(5). 751–754. 28 indexed citations
6.
Baglin, Trevor, Christopher R. Palmer, R. Luddington, & Caroline Baglin. (2008). Unprovoked recurrent venous thrombosis: prediction by D‐dimer and clinical risk factors. Journal of Thrombosis and Haemostasis. 6(4). 577–582. 48 indexed citations
7.
Besser, Martin, Caroline Baglin, R. Luddington, Astrid van Hylckama Vlieg, & Trevor Baglin. (2008). High rate of unprovoked recurrent venous thrombosis is associated with high thrombin‐generating potential in a prospective cohort study. Journal of Thrombosis and Haemostasis. 6(10). 1720–1725. 152 indexed citations
8.
Baglin, Trevor, R. Luddington, Karen Brown, & Caroline Baglin. (2004). High risk of recurrent venous thromboembolism in men. Journal of Thrombosis and Haemostasis. 2(12). 2152–2155. 95 indexed citations
9.
Baglin, Trevor, Roger Luddington, Karen Brown, & Caroline Baglin. (2003). Incidence of recurrent venous thromboembolism in relation to clinical and thrombophilic risk factors: prospective cohort study. The Lancet. 362(9383). 523–526. 476 indexed citations
10.
Baglin, Trevor, R. Luddington, Karen Brown, & Caroline Baglin. (2003). Incidence of recurrent venous thromboembolism in relation to clinical and thrombophilic risk factors. Journal of Thrombosis and Haemostasis. 1. OC149–OC149. 5 indexed citations
11.
Lebrét, Thierry, Véronique Becette, Jean-Marie Hervé, et al.. (1999). [Study of the Ki-67 antibody immunolabeling of renal adenocarcinomas with or without renal vein thrombosis].. PubMed. 9(4). 649–54. 1 indexed citations
12.
Baglin, Caroline, et al.. (1998). Analysis of risk factors for over‐anticoagulation in patients receiving long‐term warfarin. British Journal of Haematology. 103(2). 422–424. 53 indexed citations
13.
Baglin, Caroline, et al.. (1998). Risk of recurrent venous thromboembolism in patients with the factor V Leiden (FVR506Q) mutation: effect of warfarin and prediction by precipitating factors. British Journal of Haematology. 100(4). 764–768. 38 indexed citations
14.
Williamson, David J., Karen Brown, Roger Luddington, Caroline Baglin, & Trevor Baglin. (1998). Factor V Cambridge: A New Mutation (Arg306→Thr) Associated With Resistance to Activated Protein C. Blood. 91(4). 1140–1144. 210 indexed citations
15.
Baglin, Caroline, et al.. (1988). [Temporal arteritis: a syndrome. From Horton's disease to periarteritis nodosa].. PubMed. 17(11). 517–20. 5 indexed citations

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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