P.S. Wells

993 total citations · 1 hit paper
8 papers, 640 citations indexed

About

P.S. Wells is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, P.S. Wells has authored 8 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Internal Medicine, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Surgery. Recurrent topics in P.S. Wells's work include Venous Thromboembolism Diagnosis and Management (7 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Acute Ischemic Stroke Management (2 papers). P.S. Wells is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (7 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Acute Ischemic Stroke Management (2 papers). P.S. Wells collaborates with scholars based in Canada, Netherlands and Italy. P.S. Wells's co-authors include Paolo Prandoni, Clive Kearon, David R. Anderson, Alberto Cogo, J S Ginsberg, Jeffrey I. Weitz, Antonio Girolami, Gary Foster, Jack Hirsh and Walter Ageno and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and The Journal of Urology.

In The Last Decade

P.S. Wells

7 papers receiving 605 citations

Hit Papers

Accuracy of clinical assessment of deep-vein thrombosis 1995 2026 2005 2015 1995 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.S. Wells Canada 4 532 270 257 146 112 8 640
G Tomasella Italy 5 598 1.1× 256 0.9× 326 1.3× 163 1.1× 112 1.0× 10 717
Marije ten Wolde Netherlands 12 457 0.9× 278 1.0× 145 0.6× 67 0.5× 76 0.7× 24 590
Peter M. Huisman Netherlands 4 727 1.4× 320 1.2× 368 1.4× 210 1.4× 134 1.2× 7 810
Regina Makdissi United States 3 387 0.7× 197 0.7× 168 0.7× 119 0.8× 76 0.7× 6 499
Denise R. Hirsch United States 9 394 0.7× 267 1.0× 177 0.7× 121 0.8× 108 1.0× 14 597
Kai Halbritter Germany 8 505 0.9× 222 0.8× 290 1.1× 112 0.8× 58 0.5× 14 587
E S Field United Kingdom 10 490 0.9× 264 1.0× 324 1.3× 83 0.6× 103 0.9× 13 719
Cathy Emery United States 9 856 1.6× 529 2.0× 286 1.1× 219 1.5× 181 1.6× 11 936
Andréa Buchmuller France 9 595 1.1× 400 1.5× 265 1.0× 154 1.1× 143 1.3× 17 699
J Wicki Switzerland 6 634 1.2× 364 1.3× 120 0.5× 98 0.7× 42 0.4× 8 779

Countries citing papers authored by P.S. Wells

Since Specialization
Citations

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

Fields of papers citing papers by P.S. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.S. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of P.S. Wells. A scholar is included among the top collaborators of P.S. Wells 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 P.S. Wells. P.S. Wells 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.
Tritschler, Tobias, Miriam Kimpton, P.S. Wells, et al.. (2020). INFLUENCE OF SEX ON LONG-TERM RISK OF MAJOR BLEEDING DURING EXTENDED ORAL ANTICOAGULANT THERAPY FOR UNPROVOKED VENOUS THROMBOEMBOLISM: A SYSTEMATIC REVIEW AND META-ANALYSIS. Canadian Journal of Cardiology. 36(10). S111–S112.
2.
Kahn, Susan R., Stan Shapiro, & P.S. Wells. (2014). Compression Stockings to Prevent Post-Thrombotic Ayndrome: A Randomised Placebo-Controlled Trial. Journal of Vascular Surgery. 59(5). 1470–1470. 1 indexed citations
3.
Ageno, Walter, et al.. (2013). The diagnosis of symptomatic recurrent pulmonary embolism and deep vein thrombosis: guidance from the SSC of the ISTH. Journal of Thrombosis and Haemostasis. 11(8). 1597–1602. 58 indexed citations
4.
Carrier, Marc, et al.. (2007). Accuracy and usefulness of a clinical prediction rule and D-dimer testing in excluding deep vein thrombosis (DVT) in cancer patients. Journal of Clinical Oncology. 25(18_suppl). 19522–19522. 2 indexed citations
5.
Douketis, James D., J.A. Julian, Clive Kearon, et al.. (2005). Does the type of hormone replacement therapy influence the risk of deep vein thrombosis? A prospective case–control study. Journal of Thrombosis and Haemostasis. 3(5). 943–948. 55 indexed citations
6.
McAlister, Finlay A., et al.. (1998). Perioperative Allogeneic Blood Transfusion Does Not Cause Adverse Sequelae in Patients With Cancer: A Meta-Analysis of Unconfounded Studies. The Journal of Urology. 160(4). 1600–1601. 3 indexed citations
7.
Wells, P.S., Jack Hirsh, David R. Anderson, et al.. (1995). Accuracy of clinical assessment of deep-vein thrombosis. The Lancet. 345(8961). 1326–1330. 514 indexed citations breakdown →
8.
Wells, P.S., Jack Hirsh, Anthonie W.A. Lensing, et al.. (1995). Wells PS, Hirsh J, Anderson DR, et al: Accuracy of clinical assessment of deep-vein thrombosis. 7 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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