Nigel Mackman

54.0k total citations · 14 hit papers
508 papers, 39.6k citations indexed

About

Nigel Mackman is a scholar working on Hematology, Internal Medicine and Immunology. According to data from OpenAlex, Nigel Mackman has authored 508 papers receiving a total of 39.6k indexed citations (citations by other indexed papers that have themselves been cited), including 286 papers in Hematology, 122 papers in Internal Medicine and 107 papers in Immunology. Recurrent topics in Nigel Mackman's work include Blood Coagulation and Thrombosis Mechanisms (253 papers), Venous Thromboembolism Diagnosis and Management (122 papers) and Platelet Disorders and Treatments (60 papers). Nigel Mackman is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (253 papers), Venous Thromboembolism Diagnosis and Management (122 papers) and Platelet Disorders and Treatments (60 papers). Nigel Mackman collaborates with scholars based in United States, Germany and United Kingdom. Nigel Mackman's co-authors include Mausumee Guha, Graham C. Parry, Rafał Pawliński, Yohei Hisada, A. Phillip Owens, Steven P. Grover, Thomas S. Edgington, Nigel S. Key, I. Barry Holland and Korbinian Brand and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nigel Mackman

489 papers receiving 38.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LPS induction of gene expression in human monocytes

2001 2.0k citations Nigel Mackman et al. profile →
HIF-1α Is Essential for Myeloid Cell-Mediated Inflammation

2003 1.6k citations Rafał Pawliński, Nigel Mackman et al. profile →
Triggers, targets and treatments for thrombosis

2008 924 citations Nigel Mackman profile →
The Phosphatidylinositol 3-Kinase-Akt Pathway Limits Lipopolysaccharide Activation of Signaling Pathways and Expression of Inflammatory Mediators in Human Monocytic Cells

2002 675 citations Nigel Mackman et al. profile →
Microparticles in Hemostasis and Thrombosis

2011 647 citations A. Phillip Owens, Nigel Mackman Circulation Research profile →
Role of tissue factor in embryonic blood vessel development

1996 541 citations Nigel Mackman et al. profile →
Role of the Extrinsic Pathway of Blood Coagulation in Hemostasis and Thrombosis

2007 529 citations Nigel Mackman et al. Arteriosclerosis Thrombosis and Vascular Biology profile →
Tissue Factor

2018 499 citations Steven P. Grover, Nigel Mackman Arteriosclerosis Thrombosis and Vascular Biology profile →
Inflammasome Activation Triggers Blood Clotting and Host Death through Pyroptosis

2019 308 citations Yohei Hisada, Steven P. Grover et al. profile →
Cancer-associated pathways and biomarkers of venous thrombosis

2017 299 citations Yohei Hisada, Nigel Mackman Blood profile →
Neutrophil Extracellular Traps

2019 292 citations Charlotte Thålin, Yohei Hisada et al. Arteriosclerosis Thrombosis and Vascular Biology profile →
Therapeutic strategies for thrombosis: new targets and approaches

2020 264 citations Nigel Mackman, Wolfgang Bergmeier et al. profile →
Cancer-associated venous thromboembolism

2022 235 citations Nigel Mackman et al. profile →
Understanding COVID-19-associated coagulopathy

2022 191 citations Nigel Mackman, Alisa S. Wolberg et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nigel Mackman	12.7k	11.9k	9.9k	6.0k	5.6k	508	39.6k
Charles T. Esmon	5.4k 0.4×	18.3k 1.5×	6.5k 0.7×	5.0k 0.8×	2.7k 0.5×	321	31.9k
Denisa D. Wagner	7.4k 0.6×	6.8k 0.6×	13.5k 1.4×	2.4k 0.4×	2.0k 0.4×	202	28.0k
Guy A. Zimmerman	10.5k 0.8×	5.5k 0.5×	8.6k 0.9×	1.1k 0.2×	3.4k 0.6×	262	32.6k
D Collen	7.5k 0.6×	10.7k 0.9×	1.9k 0.2×	2.7k 0.4×	11.8k 2.1×	435	28.7k
Björn Dahlbäck	4.5k 0.4×	15.3k 1.3×	5.3k 0.5×	5.0k 0.8×	1.3k 0.2×	427	26.4k
Asrar B. Malik	17.2k 1.4×	3.2k 0.3×	8.4k 0.9×	581 0.1×	3.8k 0.7×	582	40.5k
Michael A. Gimbrone	16.2k 1.3×	3.6k 0.3×	12.9k 1.3×	483 0.1×	4.7k 0.8×	185	42.7k
Steffen Maßberg	3.5k 0.3×	4.6k 0.4×	4.9k 0.5×	2.2k 0.4×	771 0.1×	447	21.6k
Kenneth G. Mann	5.6k 0.4×	14.9k 1.3×	1.1k 0.1×	2.8k 0.5×	1.8k 0.3×	410	27.4k
Andrew S. Weyrich	4.1k 0.3×	4.8k 0.4×	4.1k 0.4×	1.1k 0.2×	1.6k 0.3×	169	15.2k

Countries citing papers authored by Nigel Mackman

Since Specialization

Citations

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

Fields of papers citing papers by Nigel Mackman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel Mackman

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

All Works

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20 of 20 papers shown

Lee, Robert H., Paul Y. Kim, Rafał Pawliński, et al.. (2024). 4D intravital imaging studies identify platelets as the predominant cellular procoagulant surface in a mouse hemostasis model. Blood. 144(10). 1116–1126. 7 indexed citations

Paul, David S., et al.. (2023). Loss of P2Y1 receptor desensitization does not impact hemostasis or thrombosis despite increased platelet reactivity in vitro. Journal of Thrombosis and Haemostasis. 21(7). 1891–1902. 2 indexed citations

Mackman, Nigel, Yohei Hisada, & Jin‐Ah Park. (2023). Western blot and immunohistochemical analysis of mouse tissue factor. Research and Practice in Thrombosis and Haemostasis. 7(8). 102249–102249.

Grover, Steven P., Omri Snir, Kristian Hindberg, et al.. (2023). High plasma levels of C1-inhibitor are associated with lower risk of future venous thromboembolism. Journal of Thrombosis and Haemostasis. 21(7). 1849–1860. 8 indexed citations

Grover, Steven P., Tomohiro Kawano, Jun Wan, et al.. (2023). C1 inhibitor deficiency enhances contact pathway mediated activation of coagulation and venous thrombosis. Blood. 141(19). 2390–2401. 17 indexed citations

Grover, Steven P., Jens Posma, John H. Griffin, et al.. (2022). Thrombin-mediated activation of PAR1 enhances doxorubicin-induced cardiac injury in mice. Blood Advances. 7(10). 1945–1953. 4 indexed citations

Grover, Steven P., Jens Posma, Henri M.H. Spronk, et al.. (2022). Effect of combining aspirin and rivaroxaban on atherosclerosis in mice. Atherosclerosis. 345. 7–14. 6 indexed citations

Antoniak, Silvio & Nigel Mackman. (2021). Platelets and viruses. Platelets. 32(3). 325–330. 24 indexed citations

Subramaniam, Saravanan, Yamini Ogoti, Irene Hernández, et al.. (2021). A thrombin-PAR1/2 feedback loop amplifies thromboinflammatory endothelial responses to the viral RNA analogue poly(I:C). Blood Advances. 5(13). 2760–2774. 15 indexed citations

10.

Mackman, Nigel, Steven P. Grover, & Silvio Antoniak. (2021). Tissue factor expression, extracellular vesicles, and thrombosis after infection with the respiratory viruses influenza A virus and coronavirus. Journal of Thrombosis and Haemostasis. 19(11). 2652–2658. 37 indexed citations

11.

Rosell, Axel, Sebastian Havervall, Fien A. von Meijenfeldt, et al.. (2020). Patients With COVID-19 Have Elevated Levels of Circulating Extracellular Vesicle Tissue Factor Activity That Is Associated With Severity and Mortality—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 41(2). 878–882. 167 indexed citations

12.

Puhm, Florian, Taras Afonyushkin, Ulrike Resch, et al.. (2019). Mitochondria Are a Subset of Extracellular Vesicles Released by Activated Monocytes and Induce Type I IFN and TNF Responses in Endothelial Cells. Circulation Research. 125(1). 43–52. 201 indexed citations

13.

Antoniak, Silvio, et al.. (2018). Protease-activated receptor 1 activation enhances doxorubicin-induced cardiotoxicity. Journal of Molecular and Cellular Cardiology. 122. 80–87. 21 indexed citations

14.

Hoesel, Bastian, Marion Mußbacher, Manuel Salzmann, et al.. (2018). Androgen receptor dampens tissue factor expression via nuclear factor‐κB and early growth response protein 1. Journal of Thrombosis and Haemostasis. 16(4). 749–758. 7 indexed citations

15.

Kopec, Anna K., Sherry Thornton, Joseph S. Palumbo, et al.. (2017). Thrombin promotes diet-induced obesity through fibrin-driven inflammation. Journal of Clinical Investigation. 127(8). 3152–3166. 92 indexed citations

16.

Magnus, Nathalie, Delphine Garnier, Brian Meehan, et al.. (2014). Tissue factor expression provokes escape from tumor dormancy and leads to genomic alterations. Proceedings of the National Academy of Sciences. 111(9). 3544–3549. 86 indexed citations

17.

Sullivan, Bradley P., Anna K. Kopec, Nikita Joshi, et al.. (2013). Hepatocyte tissue factor activates the coagulation cascade in mice. Blood. 121(10). 1868–1874. 56 indexed citations

18.

Liu, Yuan, Pengfei Jiang, Kateřina Čapková, et al.. (2011). Tissue Factor–Activated Coagulation Cascade in the Tumor Microenvironment Is Critical for Tumor Progression and an Effective Target for Therapy. Cancer Research. 71(20). 6492–6502. 82 indexed citations

19.

Rong, Yuan, Vladimir E. Belozerov, Carol Tucker‐Burden, et al.. (2009). Epidermal Growth Factor Receptor and PTEN Modulate Tissue Factor Expression in Glioblastoma through JunD/Activator Protein-1 Transcriptional Activity. Cancer Research. 69(6). 2540–2549. 114 indexed citations

20.

Kerschen, E. J., José A. Fernández, Brian C. Cooley, et al.. (2007). Endotoxemia and sepsis mortality reduction by non-anticoagulant–activated protein C. The Journal of Experimental Medicine. 204(10). 2439–2448. 243 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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