Julian R. Pratt

1.8k total citations
23 papers, 1.5k citations indexed

About

Julian R. Pratt is a scholar working on Immunology, Transplantation and Surgery. According to data from OpenAlex, Julian R. Pratt has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 7 papers in Transplantation and 6 papers in Surgery. Recurrent topics in Julian R. Pratt's work include Complement system in diseases (9 papers), Renal Transplantation Outcomes and Treatments (7 papers) and Organ Transplantation Techniques and Outcomes (6 papers). Julian R. Pratt is often cited by papers focused on Complement system in diseases (9 papers), Renal Transplantation Outcomes and Treatments (7 papers) and Organ Transplantation Techniques and Outcomes (6 papers). Julian R. Pratt collaborates with scholars based in United Kingdom, United States and France. Julian R. Pratt's co-authors include Steven H. Sacks, Wuding Zhou, Katsushige Abe, James E. Marsh, Yi Wang, Conrad A. Farrar, Gregory L. Stahl, Richard Smith, J.P.A. Lodge and Samuel Achilefu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Kidney International.

In The Last Decade

Julian R. Pratt

23 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian R. Pratt United Kingdom 16 894 451 370 327 209 23 1.5k
Nelson Goes United States 15 693 0.8× 846 1.9× 791 2.1× 181 0.6× 243 1.2× 31 2.0k
Majed M. Hamawy United States 24 925 1.0× 586 1.3× 402 1.1× 72 0.2× 405 1.9× 56 1.8k
Nadia K. Tchao United States 17 790 0.9× 228 0.5× 300 0.8× 136 0.4× 221 1.1× 31 1.8k
Brandon Renner United States 19 640 0.7× 147 0.3× 135 0.4× 531 1.6× 227 1.1× 35 1.2k
Masayoshi Miura Japan 17 473 0.5× 160 0.4× 246 0.7× 109 0.3× 189 0.9× 74 1.1k
Pamela Kimball United States 18 234 0.3× 292 0.6× 306 0.8× 115 0.4× 208 1.0× 56 1.0k
Jennifer L. McRae Australia 18 598 0.7× 78 0.2× 100 0.3× 280 0.9× 159 0.8× 27 983
Andrew F. Malone United States 18 156 0.2× 373 0.8× 264 0.7× 384 1.2× 418 2.0× 35 1.1k
Mónica Grafals United States 15 116 0.1× 296 0.7× 218 0.6× 280 0.9× 585 2.8× 27 1.4k
Philip Ruiz United States 17 260 0.3× 148 0.3× 283 0.8× 88 0.3× 103 0.5× 30 795

Countries citing papers authored by Julian R. Pratt

Since Specialization
Citations

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

Fields of papers citing papers by Julian R. Pratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julian R. Pratt. 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 Julian R. Pratt. The network helps show where Julian R. Pratt may publish in the future.

Co-authorship network of co-authors of Julian R. Pratt

This figure shows the co-authorship network connecting the top 25 collaborators of Julian R. Pratt. A scholar is included among the top collaborators of Julian R. Pratt 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 Julian R. Pratt. Julian R. Pratt 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.
Pratt, Julian R., et al.. (2008). Murine cytomegalovirus displays selective infection of cells within hours after systemic administration. Journal of General Virology. 90(1). 33–43. 97 indexed citations
2.
Chambers, Philip, et al.. (2008). Ischemia- reperfusion Injury and Its Influence on the Epigenetic Modification of the Donor Kidney Genome. Transplantation. 86(12). 1818–1823. 43 indexed citations
3.
Ahmad, Niaz, Julian R. Pratt, David Potts, & J.P.A. Lodge. (2006). Comparative efficacy of renal preservation solutions to limit functional impairment after warm ischemic injury. Kidney International. 69(5). 884–893. 16 indexed citations
4.
Pratt, Julian R., et al.. (2006). Ischemic Epigenetics and the Transplanted Kidney. Transplantation Proceedings. 38(10). 3344–3346. 49 indexed citations
5.
Ahmad, Niaz, et al.. (2004). A pathophysiologic study of the kidney tubule to optimize organ preservation solutions. Kidney International. 66(1). 77–90. 19 indexed citations
6.
Pratt, Julian R., Jun Dong, Wuding Zhou, et al.. (2003). Nontransgenic Hyperexpression of a Complement Regulator in Donor Kidney Modulates Transplant Ischemia/Reperfusion Damage, Acute Rejection, and Chronic Nephropathy. American Journal Of Pathology. 163(4). 1457–1465. 79 indexed citations
7.
Eaton, Philip, Emma McGregor, Michael J. Dünn, et al.. (2003). Reversible Cysteine-Targeted Oxidation of Proteins during Renal Oxidative Stress. Journal of the American Society of Nephrology. 14(suppl_3). S290–S296. 52 indexed citations
8.
Pratt, Julian R., et al.. (2002). Local synthesis of complement component C3 regulates acute renal transplant rejection. Nature Medicine. 8(6). 582–587. 406 indexed citations
9.
Pratt, Julian R., et al.. (2001). Abrogation of acute rejection in the absence of locally synthesized complement C3. Molecular Immunology. 38. 117–117. 1 indexed citations
10.
Dodd, Ian B., R G Oldroyd, Steven Powell, et al.. (2000). Development of a membrane-targeted complement inhibitor for clinical use. Immunopharmacology. 49(1-2). 63–63. 2 indexed citations
11.
Pratt, Julian R., et al.. (2000). In Situ Localization of C3 Synthesis in Experimental Acute Renal Allograft Rejection. American Journal Of Pathology. 157(3). 825–831. 67 indexed citations
12.
Zhou, Wuding, Conrad A. Farrar, Katsushige Abe, et al.. (2000). Predominant role for C5b-9 in renal ischemia/reperfusion injury. Journal of Clinical Investigation. 105(10). 1363–1371. 387 indexed citations
13.
Dong, Jun, Julian R. Pratt, Richard Smith, Ian B. Dodd, & Steven H. Sacks. (1999). Strategies for targeting complement inhibitors in ischaemia/reperfusion injury. Molecular Immunology. 36(13-14). 957–963. 34 indexed citations
14.
Marsh, James E., Julian R. Pratt, & Steven H. Sacks. (1999). Targeting the complement system. Current Opinion in Nephrology & Hypertension. 8(5). 557–562. 7 indexed citations
15.
16.
Pratt, Julian R., Andrea Harmer, James E. Levin, & Steven H. Sacks. (1997). Influence of complement on the allospecific antibody response to a primary vascularized organ graft. European Journal of Immunology. 27(11). 2848–2853. 19 indexed citations
17.
Wang, Yiming, Julian R. Pratt, Frederick W.K. Tam, et al.. (1996). UP-REGULATION OF TYPE 1 PLASMINOGEN ACTIVATOR INHIBITOR MESSENGER RNA WITH THROMBOTIC CHANGES IN RENAL GRAFTS1. Transplantation. 61(5). 684–689. 13 indexed citations
18.
Pratt, Julian R., et al.. (1996). Effects of complement inhibition with soluble complement receptor-1 on vascular injury and inflammation during renal allograft rejection in the rat.. PubMed. 149(6). 2055–66. 73 indexed citations
19.
Abbs, I C, Julian R. Pratt, Margaret J. Dallman, & Steven H. Sacks. (1993). Analysis of activated T cell infiltrates in rat renal allografts by gamma camera imaging after injection of 123iodine-interleukin 2. Transplant Immunology. 1(1). 45–51. 15 indexed citations
20.
Frazier, M.E., et al.. (1973). Immunological and virological aspects of radiogenic leukemia in miniature swine. 2 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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