Paul Brennan

6.7k total citations
95 papers, 5.5k citations indexed

About

Paul Brennan is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Paul Brennan has authored 95 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 32 papers in Immunology and 23 papers in Genetics. Recurrent topics in Paul Brennan's work include Chronic Lymphocytic Leukemia Research (23 papers), Glycosylation and Glycoproteins Research (16 papers) and Carbohydrate Chemistry and Synthesis (14 papers). Paul Brennan is often cited by papers focused on Chronic Lymphocytic Leukemia Research (23 papers), Glycosylation and Glycoproteins Research (16 papers) and Carbohydrate Chemistry and Synthesis (14 papers). Paul Brennan collaborates with scholars based in United Kingdom, United States and Ireland. Paul Brennan's co-authors include Michael McNeil, Luke O'neill, Mamadou Daffé, Doreen A. Cantrell, Ian A. Brewis, Chris Fegan, Chris Pepper, Delphi Chatterjee, Martin Rowe and Boudewijn Burgering and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Paul Brennan

95 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Brennan United Kingdom 43 2.8k 1.6k 1.1k 1.0k 827 95 5.5k
Howard B. Cottam United States 35 2.1k 0.8× 1.5k 1.0× 675 0.6× 594 0.6× 429 0.5× 123 5.1k
James E. Strickler United States 31 3.4k 1.2× 1.3k 0.8× 516 0.5× 1.0k 1.0× 823 1.0× 47 6.1k
Amos Cohen Canada 38 3.0k 1.1× 1.6k 1.1× 1.3k 1.2× 1.4k 1.3× 717 0.9× 161 6.4k
Lawrence R. Dick United States 35 6.0k 2.1× 1.1k 0.7× 1.0k 0.9× 2.1k 2.1× 459 0.6× 50 8.2k
Karl Ziegelbauer Germany 43 2.4k 0.9× 473 0.3× 1.1k 1.0× 1.0k 1.0× 604 0.7× 122 4.9k
Gerrit Koopman Netherlands 27 3.0k 1.1× 2.9k 1.9× 606 0.5× 868 0.8× 298 0.4× 98 7.0k
Dirk B. Mendel United States 43 4.2k 1.5× 770 0.5× 2.2k 2.0× 1.3k 1.3× 541 0.7× 74 8.0k
Christoph Driessen Switzerland 45 2.9k 1.0× 1.5k 0.9× 677 0.6× 1.7k 1.6× 234 0.3× 144 5.8k
Ralph B. Arlinghaus United States 51 5.4k 1.9× 1.1k 0.7× 586 0.5× 1.9k 1.9× 370 0.4× 250 10.7k
Henning R. Stennicke Denmark 29 6.6k 2.3× 1.5k 1.0× 933 0.8× 1.5k 1.4× 220 0.3× 56 8.9k

Countries citing papers authored by Paul Brennan

Since Specialization
Citations

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

Fields of papers citing papers by Paul Brennan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Brennan

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Brennan. A scholar is included among the top collaborators of Paul Brennan 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 Paul Brennan. Paul Brennan 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.
Alsagaby, Suliman A., Paul Brennan, & Chris Pepper. (2016). Key Molecular Drivers of Chronic Lymphocytic Leukemia. Clinical Lymphoma Myeloma & Leukemia. 16(11). 593–606. 15 indexed citations
2.
Welton, Joanne L., Paul Brennan, Mark Gurney, et al.. (2016). Proteomics analysis of vesicles isolated from plasma and urine of prostate cancer patients using a multiplex, aptamer‐based protein array. Journal of Extracellular Vesicles. 5(1). 31209–31209. 57 indexed citations
3.
Walsby, Elisabeth, Andrea G.S. Buggins, Stephen Devereux, et al.. (2014). Development and characterization of a physiologically relevant model of lymphocyte migration in chronic lymphocytic leukemia. Blood. 123(23). 3607–3617. 33 indexed citations
4.
Wong, Ryan, Chris Pepper, Paul Brennan, et al.. (2013). Blinatumomab induces autologous T-cell killing of chronic lymphocytic leukemia cells. Haematologica. 98(12). 1930–1938. 69 indexed citations
5.
Masgras, Ionica, Petra J. de Verdier, Paul Brennan, et al.. (2012). Reactive Oxygen Species and Mitochondrial Sensitivity to Oxidative Stress Determine Induction of Cancer Cell Death by p21. Journal of Biological Chemistry. 287(13). 9845–9854. 77 indexed citations
6.
Pepper, Chris, Aneela Majid, Thet Thet Lin, et al.. (2011). Defining the prognosis of early stage chronic lymphocytic leukaemia patients. British Journal of Haematology. 156(4). 499–507. 33 indexed citations
7.
Raby, Anne‐Catherine, Chantal S. Colmont, James A. Davies, et al.. (2009). Soluble TLR2 Reduces Inflammation without Compromising Bacterial Clearance by Disrupting TLR2 Triggering. The Journal of Immunology. 183(1). 506–517. 78 indexed citations
8.
Brennan, Paul, Mathew Clement, Saman Hewamana, et al.. (2009). Quantitative nuclear proteomics reveals new phenotypes altered in lymphoblastoid cells. PROTEOMICS - CLINICAL APPLICATIONS. 3(3). 359–369. 9 indexed citations
9.
Brennan, Paul, Rossen Donev, & Saman Hewamana. (2008). Targeting transcription factors for therapeutic benefit. Molecular BioSystems. 4(9). 909–919. 35 indexed citations
10.
Brennan, Paul. (2007). Combining RFID and Video Surveillance. 11(1). 3 indexed citations
11.
Omidvar, Nader, Eddie C. Y. Wang, Paul Brennan, et al.. (2006). Expression of Glycosylphosphatidylinositol-Anchored CD59 on Target Cells Enhances Human NK Cell-Mediated Cytotoxicity. The Journal of Immunology. 176(5). 2915–2923. 25 indexed citations
12.
White, Piran C. L., Mathew Clement, James E. McLaren, et al.. (2005). Regulation of cyclin D2 and the cyclin D2 promoter by protein kinase A and CREB in lymphocytes. Oncogene. 25(15). 2170–2180. 42 indexed citations
13.
Burchill, Matthew A., Christine Goetz, Martin Prlic, et al.. (2003). Distinct Effects of STAT5 Activation on CD4+ and CD8+ T Cell Homeostasis: Development of CD4+CD25+ Regulatory T Cells versus CD8+ Memory T Cells. The Journal of Immunology. 171(11). 5853–5864. 169 indexed citations
14.
Saitoh, Masao, Nick Pullen, Paul Brennan, et al.. (2002). Regulation of an Activated S6 Kinase 1 Variant Reveals a Novel Mammalian Target of Rapamycin Phosphorylation Site. Journal of Biological Chemistry. 277(22). 20104–20112. 150 indexed citations
15.
Mehl, Anja M., Matthew D. Jones, Martin Rowe, & Paul Brennan. (2001). Characterization of a CD40-Dominant Inhibitory Receptor Mutant. The Journal of Immunology. 167(11). 6388–6393. 3 indexed citations
16.
Arrieumerlou, Cécile, Emmanuel Donnadieu, Paul Brennan, et al.. (1998). Involvement of phosphoinositide 3-kinase and Rac in membrane ruffling induced by IL-2 in T cells. European Journal of Immunology. 28(6). 1877–1885. 48 indexed citations
17.
Brennan, Paul, et al.. (1997). Phosphatidylinositol 3-Kinase Couples the Interleukin-2 Receptor to the Cell Cycle Regulator E2F. Immunity. 7(5). 679–689. 359 indexed citations
18.
19.
Brennan, Paul & Luke O'neill. (1996). Inhibition of NFkappaB activity by oxidative processes in intact cells — mechanism of action of pyrolidine dithiocarbamate and diamide. Biochemical Society Transactions. 24(1). 3S–3S. 10 indexed citations
20.

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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