David Eastwood

1.2k total citations
17 papers, 777 citations indexed

About

David Eastwood is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy. According to data from OpenAlex, David Eastwood has authored 17 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology and Allergy. Recurrent topics in David Eastwood's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Cell Adhesion Molecules Research (4 papers) and T-cell and B-cell Immunology (4 papers). David Eastwood is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Cell Adhesion Molecules Research (4 papers) and T-cell and B-cell Immunology (4 papers). David Eastwood collaborates with scholars based in United Kingdom, United States and Qatar. David Eastwood's co-authors include Richard Stebbings, Robin Thorpe, Stephen Poole, Lucy Findlay, Meenu Wadhwa, Chris Bird, Susan J. Thorpe, Melanie Moore, Chris Burns and B. Fox and has published in prestigious journals such as The Journal of Immunology, Journal of Virology and The FASEB Journal.

In The Last Decade

David Eastwood

17 papers receiving 721 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 Eastwood United Kingdom 12 483 263 237 187 51 17 777
Joseph C. Beyer United States 17 262 0.5× 334 1.3× 212 0.9× 271 1.4× 34 0.7× 29 947
Takato O. Yoshida Japan 12 562 1.2× 220 0.8× 83 0.4× 199 1.1× 18 0.4× 54 895
Stephen Horváth United States 13 462 1.0× 101 0.4× 111 0.5× 178 1.0× 19 0.4× 29 732
Murli Krishna United States 11 295 0.6× 215 0.8× 111 0.5× 633 3.4× 31 0.6× 14 942
Søren Mouritsen Denmark 17 383 0.8× 212 0.8× 105 0.4× 345 1.8× 17 0.3× 25 755
B. Cinader Canada 14 308 0.6× 126 0.5× 95 0.4× 179 1.0× 7 0.1× 33 684
Albertus D. Beyers United Kingdom 15 579 1.2× 169 0.6× 117 0.5× 238 1.3× 3 0.1× 19 886
Saroj Kant Mohapatra India 12 219 0.5× 119 0.5× 81 0.3× 383 2.0× 17 0.3× 21 666
Mauricio Maia United States 18 619 1.3× 612 2.3× 172 0.7× 543 2.9× 52 1.0× 34 1.3k
L. Tallone Lombardi Italy 17 420 0.9× 72 0.3× 287 1.2× 639 3.4× 7 0.1× 42 1.3k

Countries citing papers authored by David Eastwood

Since Specialization
Citations

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

Fields of papers citing papers by David Eastwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Eastwood

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

All Works

17 of 17 papers shown
1.
Francis, Robert J., David Eastwood, Bhagwati Khatri, et al.. (2020). Higher mass meningococcal group C-tetanus toxoid vaccines conjugated with carbodiimide correlate with greater immunogenicity. Vaccine. 38(13). 2859–2869. 9 indexed citations
2.
Vessillier, Sandrine, David Eastwood, B. Fox, et al.. (2015). Cytokine release assays for the prediction of therapeutic mAb safety in first-in man trials — Whole blood cytokine release assays are poorly predictive for TGN1412 cytokine storm. Journal of Immunological Methods. 424. 43–52. 45 indexed citations
3.
Reed, Daniel M., Koralia Paschalaki, Richard Starke, et al.. (2015). An autologous endothelial cell:peripheral blood mononuclear cell assay that detects cytokine storm responses to biologics. The FASEB Journal. 29(6). 2595–2602. 17 indexed citations
4.
Wilton, Thomas, Glynis Dunn, David Eastwood, Philip D. Minor, & Javier Martín. (2014). Effect of Formaldehyde Inactivation on Poliovirus. Journal of Virology. 88(20). 11955–11964. 53 indexed citations
5.
Wilton, Thomas, Glynis Dunn, David Eastwood, Philip D. Minor, & Javier Martín. (2014). Correction for Wilton et al., Effect of Formaldehyde Inactivation on Poliovirus. Journal of Virology. 88(23). 13928–13928. 2 indexed citations
6.
Eastwood, David, Chris Bird, Paula Dilger, et al.. (2013). Severity of the TGN1412 trial disaster cytokine storm correlated with IL‐2 release. British Journal of Clinical Pharmacology. 76(2). 299–315. 39 indexed citations
7.
8.
Stebbings, Richard, David Eastwood, Stephen Poole, & Robin Thorpe. (2012). After TGN1412: Recent developments in cytokine release assays. Journal of Immunotoxicology. 10(1). 75–82. 47 indexed citations
9.
Fox, B., Simon E. Hufton, Stephen Poole, et al.. (2012). Antibody C Region Influences TGN1412-like Functional Activity In Vitro. The Journal of Immunology. 189(12). 5831–5840. 20 indexed citations
10.
Findlay, Lucy, David Eastwood, C. Jane Robinson, et al.. (2011). Comparison of novel methods for predicting the risk of pro-inflammatory clinical infusion reactions during monoclonal antibody therapy. Journal of Immunological Methods. 371(1-2). 134–142. 24 indexed citations
11.
Findlay, Lucy, B. Fox, C. Jane Robinson, et al.. (2011). Endothelial cells co-stimulate peripheral blood mononuclear cell responses to monoclonal antibody TGN1412 in culture. Cytokine. 55(1). 141–151. 21 indexed citations
12.
Eastwood, David, Lucy Findlay, Stephen Poole, et al.. (2010). Monoclonal antibody TGN1412 trial failure explained by species differences in CD28 expression on CD4 + effector memory T‐cells. British Journal of Pharmacology. 161(3). 512–526. 199 indexed citations
13.
Findlay, Lucy, David Eastwood, Richard Stebbings, et al.. (2009). Improved in vitro methods to predict the in vivo toxicity in man of therapeutic monoclonal antibodies including TGN1412. Journal of Immunological Methods. 352(1-2). 1–12. 58 indexed citations
14.
Eastwood, David. (2008). Quietly flows the Don? Higher education, turbulence, and timeless verities. Perspectives Policy and Practice in Higher Education. 12(3). 61–67. 2 indexed citations
15.
Stebbings, Richard, Lucy Findlay, David Eastwood, et al.. (2007). “Cytokine Storm” in the Phase I Trial of Monoclonal Antibody TGN1412: Better Understanding the Causes to Improve PreClinical Testing of Immunotherapeutics. The Journal of Immunology. 179(5). 3325–3331. 222 indexed citations
16.
Eastwood, David, J. R. Fry, D.J. Candlin, et al.. (1971). 2130-MeVΛ0pMass Enhancement in the ReactionK−d→Λ0pπ−at 1.45 and 1.65GeVc. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 3(11). 2603–2606. 16 indexed citations
17.
Colley, D.C., David Eastwood, J. Gordon, et al.. (1969). Analysis of $$\bar K$$ final states produced in K−-proton interactions at 6 GeV/cfinal states produced in K−-proton interactions at 6 GeV/c. Nuovo cimento della Società italiana di fisica. A, Nuclei, particles and fields. 59(4). 519–534. 1 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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