David Gray

13.4k total citations · 4 hit papers
119 papers, 10.6k citations indexed

About

David Gray is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Law. According to data from OpenAlex, David Gray has authored 119 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Immunology, 22 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Law. Recurrent topics in David Gray's work include T-cell and B-cell Immunology (74 papers), Immunotherapy and Immune Responses (51 papers) and Immune Cell Function and Interaction (51 papers). David Gray is often cited by papers focused on T-cell and B-cell Immunology (74 papers), Immunotherapy and Immune Responses (51 papers) and Immune Cell Function and Interaction (51 papers). David Gray collaborates with scholars based in United Kingdom, United States and Switzerland. David Gray's co-authors include Rafi Ahmed, Simon Fillatreau, Stephen M. Anderton, Ian C. M. MacLennan, Mandy J. McGeachy, Claire H. Sweenie, Claudia Mauri, Naseem Mushtaq, Marco Londei and Dominic van Essen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David Gray

117 papers receiving 10.3k citations

Hit Papers

Immunological Memory and Protective Immunity: Understandi... 1996 2026 2006 2016 1996 2002 2003 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Gray United Kingdom 49 8.3k 1.2k 1.1k 904 884 119 10.6k
Ian C. M. MacLennan United Kingdom 54 8.8k 1.1× 2.2k 1.9× 1.4k 1.3× 1.4k 1.5× 743 0.8× 99 12.0k
Paul Lehmann United States 40 5.7k 0.7× 1.4k 1.2× 744 0.7× 794 0.9× 940 1.1× 167 8.6k
Iqbal S. Grewal United States 56 7.7k 0.9× 2.0k 1.7× 1.3k 1.2× 2.3k 2.6× 837 0.9× 125 10.8k
Antony Basten Australia 58 9.4k 1.1× 2.3k 1.9× 2.3k 2.2× 1.1k 1.2× 850 1.0× 199 13.2k
Hedda Wardemann Germany 42 6.3k 0.8× 1.9k 1.6× 2.4k 2.3× 582 0.6× 747 0.8× 72 9.0k
Leonard Chess United States 60 8.4k 1.0× 2.3k 2.0× 2.5k 2.3× 1.5k 1.7× 1.1k 1.3× 148 12.5k
Michael G. McHeyzer‐Williams United States 38 8.1k 1.0× 1.8k 1.5× 713 0.7× 1.4k 1.5× 1.1k 1.3× 67 9.9k
Gabriel D. Victora United States 41 8.1k 1.0× 2.6k 2.2× 1.0k 1.0× 1.6k 1.8× 874 1.0× 75 11.5k
Frederick P. Siegal United States 40 5.3k 0.6× 968 0.8× 726 0.7× 891 1.0× 1.8k 2.0× 100 8.4k
Joseph Craft United States 49 5.6k 0.7× 1.9k 1.7× 759 0.7× 1.3k 1.4× 833 0.9× 96 10.5k

Countries citing papers authored by David Gray

Since Specialization
Citations

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

Fields of papers citing papers by David Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gray

This figure shows the co-authorship network connecting the top 25 collaborators of David Gray. A scholar is included among the top collaborators of David Gray 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 Gray. David Gray 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.
Miles, Katherine, David Gray, Carl S. Goodyear, et al.. (2023). Double-negative-2 B cells are the major synovial plasma cell precursor in rheumatoid arthritis. Frontiers in Immunology. 14. 1241474–1241474. 19 indexed citations
2.
Gray, David. (2015). Fourth Amendment Remedies as Rights: The Warrant Requirement. Boston University law review. 96(2). 425. 2 indexed citations
3.
Gray, David. (2015). A Collective Right to Be Secure from Unreasonable Tracking. SSRN Electronic Journal. 1 indexed citations
4.
Gray, David. (2014). The ABA Standards for Criminal Justice: Law Enforcement Access to Third Party Records: Critical Perspectives from a Technology-Centered Approach to Quantitative Privacy. University of Oklahoma College of Law - Digital Commons (University of Oklahoma). 66(4). 919. 1 indexed citations
5.
Brown, Sheila, et al.. (2013). Plasma Cell Homeostasis: The Effects of Chronic Antigen Stimulation and Inflammation. The Journal of Immunology. 191(6). 3128–3138. 35 indexed citations
6.
Gray, David & Danielle Keats Citron. (2013). A Shattered Looking Glass: The Pitfalls and Potential of the Mosaic Theory of Fourth Amendment Privacy. eYLS (Yale Law School). 14(2). 381–430. 3 indexed citations
7.
Gray, David, et al.. (2013). Fighting Cyber-Crime After United States v. Jones. The Journal of Criminal Law and Criminology (1973-). 103(3). 745–802. 2 indexed citations
8.
Gray, David. (2012). A Spectacular Non Sequitur: The Supreme Court's Contemporary Fourth Amendment Exclusionary Rule Jurisprudence. SSRN Electronic Journal. 50(1). 29. 1 indexed citations
9.
Gray, David, et al.. (2012). The Supreme Court's Contemporary Silver Platter Doctrine. Texas law review. 91(1). 7.
10.
Miles, Katherine, Zaneta Sibinska, Donald M. Salter, et al.. (2011). A tolerogenic role for Toll-like receptor 9 is revealed by B-cell interaction with DNA complexes expressed on apoptotic cells. Proceedings of the National Academy of Sciences. 109(3). 887–892. 118 indexed citations
11.
Gray, David. (2010). Punishment as Suffering. Vanderbilt law review. 63(6). 1617. 9 indexed citations
12.
Barr, Tom A., et al.. (2010). Quantum dots decorated with pathogen associated molecular patterns as fluorescent synthetic pathogen models. Molecular BioSystems. 6(9). 1572–1575. 7 indexed citations
13.
Gray, David. (2009). A No-Excuse Approach to Transitional Justice: Reparations As Tools of Extraordinary Justice. Open Scholarship Institutional Repository (Washington University in St. Louis). 87(5). 1043–1103. 4 indexed citations
14.
Barr, Tom A., Sheila Brown, Pietro Mastroeni, & David Gray. (2009). B Cell Intrinsic MyD88 Signals Drive IFN-γ Production from T Cells and Control Switching to IgG2c. The Journal of Immunology. 183(2). 1005–1012. 96 indexed citations
15.
Barr, Tom A., Simon Brown, & David Gray. (2008). Innate responses of B cells. Immunology. 125. 19–20. 1 indexed citations
16.
Gray, David. (2007). Devilry, Complicity, and Greed: Transitional Justice and Odious Debt. Law and Contemporary Problems. 70(3). 137–164. 2 indexed citations
17.
Crawford, Alison, Megan K. L. MacLeod, Ton N. Schumacher, Louise Corlett, & David Gray. (2006). Primary T Cell Expansion and Differentiation In Vivo Requires Antigen Presentation by B Cells. The Journal of Immunology. 176(6). 3498–3506. 242 indexed citations
18.
Gray, David. (2005). An Excuse-Centered Approach to Transitional Justice. Fordham law review. 74(5). 2621. 4 indexed citations
19.
Cockayne, Debra A., et al.. (2001). Signals That Initiate Somatic Hypermutation of B Cells In Vitro. The Journal of Immunology. 166(4). 2228–2234. 23 indexed citations
20.
Oldfield, S., et al.. (1985). Class and subclass anti-pneumococcal antibody responses in splenectomized patients.. PubMed Central. 61(3). 664–73. 32 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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