David C. Crossman

6.0k total citations
88 papers, 4.1k citations indexed

About

David C. Crossman is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David C. Crossman has authored 88 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 29 papers in Immunology and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David C. Crossman's work include Atherosclerosis and Cardiovascular Diseases (13 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers) and Coronary Interventions and Diagnostics (10 papers). David C. Crossman is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (13 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers) and Coronary Interventions and Diagnostics (10 papers). David C. Crossman collaborates with scholars based in United Kingdom, United States and Hungary. David C. Crossman's co-authors include Sheila Francis, Julian Gunn, Janet Chamberlain, Rachael Dewberry, Tim Chico, Steven Dower, D.C. Cumberland, Allan Lawrie, Hazel M. Holden and Heather L. Wilson and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and The Journal of Experimental Medicine.

In The Last Decade

David C. Crossman

88 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C. Crossman United Kingdom 38 1.6k 1.2k 792 764 615 88 4.1k
Makoto Tanaka Japan 35 2.8k 1.8× 509 0.4× 636 0.8× 748 1.0× 659 1.1× 147 4.4k
Christian Schulz Germany 27 1.3k 0.8× 3.1k 2.5× 584 0.7× 500 0.7× 497 0.8× 58 5.6k
Eugene A. Sprague United States 34 1.8k 1.1× 564 0.5× 609 0.8× 952 1.2× 239 0.4× 82 4.1k
Donald B. Bloch United States 42 2.3k 1.4× 601 0.5× 637 0.8× 876 1.1× 1.0k 1.7× 120 5.8k
Yujiro Asada Japan 45 1.7k 1.1× 1.3k 1.0× 1.8k 2.3× 1.5k 1.9× 892 1.5× 296 7.0k
Yūji Shimizu Japan 29 3.8k 2.3× 702 0.6× 767 1.0× 617 0.8× 543 0.9× 238 7.0k
Ian A. Darby Australia 30 1.9k 1.2× 453 0.4× 476 0.6× 1.2k 1.6× 519 0.8× 71 6.5k
Tobias Goerge Germany 33 860 0.5× 806 0.7× 495 0.6× 510 0.7× 298 0.5× 82 4.2k
Ivo Buschmann Germany 33 2.4k 1.5× 484 0.4× 650 0.8× 1.1k 1.5× 303 0.5× 108 4.5k
Ahmed Abdel‐Latif United States 38 2.2k 1.4× 902 0.7× 1.3k 1.6× 1.8k 2.4× 702 1.1× 164 5.5k

Countries citing papers authored by David C. Crossman

Since Specialization
Citations

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

Fields of papers citing papers by David C. Crossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Crossman. 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 David C. Crossman. The network helps show where David C. Crossman may publish in the future.

Co-authorship network of co-authors of David C. Crossman

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

All Works

20 of 20 papers shown
1.
Sexton, Darren W., et al.. (2014). P2Y6 receptor inhibition perturbs CCL2-evoked signalling in human monocytic and peripheral blood mononuclear cells. Journal of Cell Science. 127(Pt 22). 4964–73. 22 indexed citations
2.
Condliffe, Robin, Josephine Pickworth, Sara J. Walker, et al.. (2012). Serum Osteoprotegerin is Increased and Predicts Survival in Idiopathic Pulmonary Arterial Hypertension. Pulmonary Circulation. 2(1). 21–27. 20 indexed citations
3.
Gray, Caroline, et al.. (2011). Simultaneous intravital imaging of macrophage and neutrophil behaviour during inflammation using a novel transgenic zebrafish. Thrombosis and Haemostasis. 105(5). 811–819. 162 indexed citations
4.
Watt, Victoria, Janet Chamberlain, Tanja Steiner, Sheila Francis, & David C. Crossman. (2011). TRAIL attenuates the development of atherosclerosis in apolipoprotein E deficient mice. Atherosclerosis. 215(2). 348–354. 51 indexed citations
5.
Watt, Victoria, Elaine Soon, Jay Suntharalingam, et al.. (2009). Abstract 3469: OPG:TRAIL Ratio as a Potential Biomarker for Pulmonary Arterial Hypertension. Circulation. 120. 1 indexed citations
6.
Chico, Tim, Marta Milo, & David C. Crossman. (2009). The genetics of cardiovascular disease: new insights from emerging approaches. The Journal of Pathology. 220(2). 186–197. 13 indexed citations
7.
Éder, Katalin, et al.. (2008). LDL uptake by monocytes in response to inflammation is MAPK dependent but independent of tribbles protein expression. Immunology Letters. 116(2). 178–183. 13 indexed citations
8.
9.
Gray, Caroline, Nicholas Eastley, Paul G. Hellewell, et al.. (2007). Ischemia Is Not Required for Arteriogenesis in Zebrafish Embryos. Arteriosclerosis Thrombosis and Vascular Biology. 27(10). 2135–2141. 54 indexed citations
10.
Francis, Sheila, Kim Suvarna, Stephen J. Blakemore, et al.. (2005). Differential gene expression in coronary arteries from patients presenting with ischemic heart disease: Further evidence for the inflammatory basis of atherosclerosis. American Heart Journal. 150(3). 488–499. 43 indexed citations
11.
Ray, Kausik K., Sheila Francis, & David C. Crossman. (2005). A potential pharmacogenomic strategy for anticoagulant treatment in non‐ST elevation acute coronary syndromes: the role of interleukin‐1 receptor antagonist genotype. Journal of Thrombosis and Haemostasis. 3(2). 287–291. 3 indexed citations
12.
Wilson, Heather L., Sheila Francis, Steven Dower, & David C. Crossman. (2004). Secretion of Intracellular IL-1 Receptor Antagonist (Type 1) Is Dependent on P2X7 Receptor Activation. The Journal of Immunology. 173(2). 1202–1208. 84 indexed citations
13.
Crossman, David C.. (2004). The pathophysiology of myocardial ischaemia. Heart. 90(5). 576–580. 51 indexed citations
14.
Morton, Allison, Thomas Papadopoulos, Robert Bowes, et al.. (2003). Real world small vessel coronary artery stenting: an analysis. UEA Digital Repository (University of East Anglia). 1 indexed citations
15.
Hauser, Elizabeth R., Vincent Mooser, David C. Crossman, et al.. (2003). Design of the Genetics of Early Onset Cardiovascular Disease (GENECARD) study. American Heart Journal. 145(4). 602–613. 49 indexed citations
16.
Crossman, David C.. (2001). Acute coronary syndromes. Clinical Medicine. 1(3). 206–213. 9 indexed citations
17.
Malik, N. M., Petros Syrris, Juan Carlos Kaski, et al.. (1998). Methylenetetrahydrofolate reductase polymorphism (C-677T) and coronary artery disease.. PubMed. 95(3). 311–5. 9 indexed citations
18.
Gaspardone, Achille, Filippo Crea, Fabrizio Tomai, et al.. (1994). Substance P potentiates the algogenic effects of intraarterial infusion of adenosine. Journal of the American College of Cardiology. 24(2). 477–482. 24 indexed citations
19.
Kushwaha, Sudhir S., et al.. (1991). Substance p for evaluation of coronary endothelial function after cardiac transplantation. Journal of the American College of Cardiology. 17(7). 1537–1544. 28 indexed citations
20.
Munsch, Christopher, et al.. (1991). Aprotinin used in emergency coronary operation after streptokinase treatment. The Annals of Thoracic Surgery. 52(6). 1320–1321. 13 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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