Sean Lang

802 total citations
9 papers, 450 citations indexed

About

Sean Lang is a scholar working on Hematology, Immunology and Allergy and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sean Lang has authored 9 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 3 papers in Immunology and Allergy and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sean Lang's work include Platelet Disorders and Treatments (9 papers), Blood groups and transfusion (3 papers) and Cell Adhesion Molecules Research (3 papers). Sean Lang is often cited by papers focused on Platelet Disorders and Treatments (9 papers), Blood groups and transfusion (3 papers) and Cell Adhesion Molecules Research (3 papers). Sean Lang collaborates with scholars based in Canada, United Kingdom and China. Sean Lang's co-authors include Heyu Ni, Pingguo Chen, Guangheng Zhu, Conglei Li, John Freedman, June Li, Issaka Yougbaré, Christopher M. Spring, Li Yan and Reheman Adili and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Thrombosis and Haemostasis.

In The Last Decade

Sean Lang

9 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Lang Canada 9 291 84 68 66 60 9 450
Laura D. Healy United States 12 217 0.7× 132 1.6× 62 0.9× 45 0.7× 23 0.4× 15 442
K. Bykowska Poland 13 240 0.8× 33 0.4× 71 1.0× 122 1.8× 24 0.4× 44 486
Daniel L. Sprague United States 6 172 0.6× 142 1.7× 23 0.3× 32 0.5× 37 0.6× 7 467
Eveline A. M. Bouwens Netherlands 9 315 1.1× 93 1.1× 66 1.0× 27 0.4× 32 0.5× 11 473
Laurence Vénisse France 11 188 0.6× 28 0.3× 50 0.7× 56 0.8× 24 0.4× 19 402
Paul E. R. Ellery United States 11 342 1.2× 41 0.5× 70 1.0× 41 0.6× 28 0.5× 18 498
Navina L. Chrobok Netherlands 8 118 0.4× 169 2.0× 22 0.3× 76 1.2× 28 0.5× 8 431
Erzsébet Komorowicz Hungary 13 203 0.7× 208 2.5× 48 0.7× 214 3.2× 39 0.7× 21 565
B. Scheuerer Germany 5 132 0.5× 186 2.2× 45 0.7× 30 0.5× 18 0.3× 7 425
K Likert United States 8 665 2.3× 45 0.5× 128 1.9× 73 1.1× 35 0.6× 9 788

Countries citing papers authored by Sean Lang

Since Specialization
Citations

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

Fields of papers citing papers by Sean Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Lang

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

All Works

9 of 9 papers shown
1.
Blois, Shauna L., Sean Lang, R. Darren Wood, & Gabrielle Monteith. (2015). Biologic variability and correlation of platelet function testing in healthy dogs. Veterinary Clinical Pathology. 44(4). 503–510. 21 indexed citations
2.
Li, Conglei, Pingguo Chen, Brian Vadasz, et al.. (2013). Co-stimulation with LPS or Poly I:C markedly enhances the anti-platelet immune response and severity of fetal and neonatal alloimmune thrombocytopenia. Thrombosis and Haemostasis. 110(12). 1250–1258. 18 indexed citations
3.
Li, June, Dianne E. van der Wal, Lingyan Zhu, et al.. (2013). Fc-independent Phagocytosis: Implications for IVIG and other Therapies in Immune-mediated Thrombocytopenia. Cardiovascular & Haematological Disorders - Drug Targets. 13(1). 50–58. 14 indexed citations
4.
Wang, Yiming, Marc Andrews, Yan Yang, et al.. (2012). Platelets in Thrombosis and Hemostasis: Old Topic with New Mechanisms. Cardiovascular & Haematological Disorders - Drug Targets. 12(2). 126–132. 53 indexed citations
5.
Li, Conglei, June Li, Li Yan, et al.. (2012). Crosstalk between Platelets and the Immune System: Old Systems with New Discoveries. Advances in Hematology. 2012. 1–14. 119 indexed citations
6.
Wal, Dianne E. van der, Guangheng Zhu, June Li, et al.. (2012). Desialylation: A Novel Platelet Clearance Mechanism and a Potential New Therapeutic Target in Anti-GPIb Antibody Mediated Thrombocytopenia. Blood. 120(21). 265–265. 12 indexed citations
7.
Li, Conglei, Siavash Piran, Pingguo Chen, et al.. (2011). The maternal immune response to fetal platelet GPIbα causes frequent miscarriage in mice that can be prevented by intravenous IgG and anti-FcRn therapies. Journal of Clinical Investigation. 121(11). 4537–4547. 65 indexed citations
8.
Chen, Pingguo, Conglei Li, Sean Lang, et al.. (2010). Animal model of fetal and neonatal immune thrombocytopenia: role of neonatal Fc receptor in the pathogenesis and therapy. Blood. 116(18). 3660–3668. 71 indexed citations
9.
Hong, Yang, Sean Lang, Zhimin Zhai, et al.. (2009). Fibrinogen is required for maintenance of platelet intracellular and cell-surface P-selectin expression. Blood. 114(2). 425–436. 77 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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