David Roxby

1.1k total citations
38 papers, 704 citations indexed

About

David Roxby is a scholar working on Hematology, Biochemistry and Critical Care and Intensive Care Medicine. According to data from OpenAlex, David Roxby has authored 38 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 13 papers in Biochemistry and 12 papers in Critical Care and Intensive Care Medicine. Recurrent topics in David Roxby's work include Blood transfusion and management (13 papers), Blood groups and transfusion (13 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (10 papers). David Roxby is often cited by papers focused on Blood transfusion and management (13 papers), Blood groups and transfusion (13 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (10 papers). David Roxby collaborates with scholars based in Australia, United States and United Kingdom. David Roxby's co-authors include R. K. Sinha, Nancy M. Heddle, Mark Crowther, Daniel I. Sessler, Martin Ellis, P.J. Devereaux, John W. Eikelboom, Magdalena Sobieraj‐Teague, Andrew D. Bersten and Donald M. Arnold and has published in prestigious journals such as New England Journal of Medicine, Blood and British Journal of Haematology.

In The Last Decade

David Roxby

37 papers receiving 688 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 Roxby Australia 14 291 262 207 178 122 38 704
Jacob Pendergrast Canada 17 384 1.3× 305 1.2× 228 1.1× 93 0.5× 47 0.4× 57 738
Hazel Tinegate United Kingdom 12 379 1.3× 365 1.4× 187 0.9× 96 0.5× 57 0.5× 18 798
Orieji Illoh United States 8 524 1.8× 262 1.0× 232 1.1× 94 0.5× 48 0.4× 16 978
Rachel S. Bercovitz United States 13 317 1.1× 300 1.1× 157 0.8× 48 0.3× 46 0.4× 35 671
L. M. Williamson United Kingdom 15 558 1.9× 477 1.8× 367 1.8× 64 0.4× 113 0.9× 31 1.1k
Debra Masel United States 14 494 1.7× 512 2.0× 132 0.6× 64 0.4× 50 0.4× 25 816
Leo van de Watering Netherlands 14 884 3.0× 566 2.2× 338 1.6× 384 2.2× 92 0.8× 31 1.4k
A. W. Wells United Kingdom 11 600 2.1× 257 1.0× 293 1.4× 39 0.2× 57 0.5× 16 844
P Beris Switzerland 13 368 1.3× 589 2.2× 139 0.7× 86 0.5× 41 0.3× 27 959
Patricia Kopko United States 16 1.3k 4.3× 476 1.8× 752 3.6× 107 0.6× 171 1.4× 37 1.7k

Countries citing papers authored by David Roxby

Since Specialization
Citations

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

Fields of papers citing papers by David Roxby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Roxby

This figure shows the co-authorship network connecting the top 25 collaborators of David Roxby. A scholar is included among the top collaborators of David Roxby 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 Roxby. David Roxby 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.
2.
Cook, Richard J., Nancy M. Heddle, Ker‐Ai Lee, et al.. (2017). Red blood cell storage and in-hospital mortality: a secondary analysis of the INFORM randomised controlled trial. The Lancet Haematology. 4(11). e544–e552. 29 indexed citations
3.
Sinha, R. K. & David Roxby. (2017). Any changes in recent massive transfusion practices in a tertiary level institution?. Transfusion and Apheresis Science. 56(4). 558–562. 2 indexed citations
4.
Singhal, Deepak, Monika Kutyna, Rakchha Chhetri, et al.. (2017). Red cell alloimmunization is associated with development of autoantibodies and increased red cell transfusion requirements in myelodysplastic syndrome. Haematologica. 102(12). 2021–2029. 39 indexed citations
5.
Heddle, Nancy M., Richard J. Cook, Donald M. Arnold, et al.. (2016). Effect of Short-Term vs. Long-Term Blood Storage on Mortality after Transfusion. New England Journal of Medicine. 375(20). 1937–1945. 198 indexed citations
6.
Eikelboom, John W., Richard J. Cook, Rebecca Barty, et al.. (2015). Rationale and Design of the Informing Fresh versus Old Red Cell Management (INFORM) Trial: An International Pragmatic Randomized Trial. Transfusion Medicine Reviews. 30(1). 25–29. 12 indexed citations
7.
Kim, Susan, et al.. (2015). Therapeutic plasma exchange does not reduce vasopressor requirement in severe acute liver failure: a retrospective case series. BMC Anesthesiology. 15(1). 30–30. 10 indexed citations
8.
Zatta, Amanda J., Zoe McQuilten, Biswadev Mitra, et al.. (2014). Elucidating the clinical characteristics of patients captured using different definitions of massive transfusion. Vox Sanguinis. 107(1). 60–70. 65 indexed citations
9.
Prakash, Shivesh, et al.. (2014). Changes in fibrinolysis and severity of organ failure in sepsis: A prospective observational study using point-of-care test—ROTEM. Journal of Critical Care. 30(2). 264–270. 32 indexed citations
10.
Sinha, R. K., et al.. (2011). Red alert – a new perspective on patterns of blood use in the South Australian public sector. Australian Health Review. 35(3). 327–333. 9 indexed citations
11.
Sinha, R. K. & David Roxby. (2011). Change in transfusion practice in massively bleeding patients. Transfusion and Apheresis Science. 45(2). 171–174. 9 indexed citations
12.
Sinha, R. K. & David Roxby. (2011). Transfusion practices in massive haemorrhage in pre‐intensive and intensive care. Vox Sanguinis. 101(3). 230–236. 8 indexed citations
13.
Shortt, Jake, Glen Westall, David Roxby, et al.. (2008). A ‘Dangerous’ Group O Donor: Severe Hemolysis in All Recipients of Organs from a Donor with Multiple Red Cell Alloantibodies. American Journal of Transplantation. 8(3). 711–714. 23 indexed citations
14.
Roxby, David, et al.. (2007). Can latent heat safely warm blood? – in vitro testing of a portable prototype blood warmer. BMC Emergency Medicine. 7(1). 8–8. 7 indexed citations
15.
Simmer, Karen, et al.. (1999). DNA polymorphism analysis in transfusion‐associated graft‐versus‐host disease. Journal of Paediatrics and Child Health. 35(1). 98–101. 17 indexed citations
16.
Shanahan, Ellen, et al.. (1996). Mutation rates at the glycophorin A and HPRT loci in uranium miners exposed to radon progeny.. Occupational and Environmental Medicine. 53(7). 439–444. 10 indexed citations
17.
Pinnock, Carole, et al.. (1995). Ploidy and Tn‐antigen expression in the detection of transitional cell neoplasia in non‐tumour‐bearing patients. British Journal of Urology. 75(4). 461–469. 6 indexed citations
18.
Roxby, David, et al.. (1992). Expression of the Tn antigen in myelodysplasia, lymphoma, and leukemia. Transfusion. 32(9). 834–838. 13 indexed citations
19.
Peterson, David M., David Roxby, & R. Seshadri. (1987). Is the indirect antiglobulin crossmatch justified?. Pathology. 19(2). 121–123. 2 indexed citations
20.
Roxby, David, et al.. (1987). Detection of the Tn antigen in leukaemia using monoclonal anti‐Tn antibody and immunohistochemistry. British Journal of Haematology. 67(2). 153–156. 15 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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