T. O'Reilly

2.7k total citations
27 papers, 1.5k citations indexed

About

T. O'Reilly is a scholar working on Pharmacology, Oncology and Microbiology. According to data from OpenAlex, T. O'Reilly has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 6 papers in Oncology and 6 papers in Microbiology. Recurrent topics in T. O'Reilly's work include Antibiotics Pharmacokinetics and Efficacy (5 papers), Bacterial Infections and Vaccines (4 papers) and Antibiotic Resistance in Bacteria (3 papers). T. O'Reilly is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (5 papers), Bacterial Infections and Vaccines (4 papers) and Antibiotic Resistance in Bacteria (3 papers). T. O'Reilly collaborates with scholars based in Switzerland, United Kingdom and Canada. T. O'Reilly's co-authors include O. Zák, Bernhard Moser, Thomas Geiser, R Zwahlen, Marcel Loetscher, Marco Baggiolini, Marc Hattenberger, Melih Acar, Palma Iannarelli and John A. Alberta and has published in prestigious journals such as Journal of Biological Chemistry, JNCI Journal of the National Cancer Institute and Clinical Infectious Diseases.

In The Last Decade

T. O'Reilly

25 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. O'Reilly Switzerland 13 452 443 408 216 215 27 1.5k
Liana Harvath United States 19 189 0.4× 622 1.4× 687 1.7× 123 0.6× 221 1.0× 50 1.8k
Maryrose J. Conklyn United States 19 624 1.4× 718 1.6× 1.0k 2.5× 162 0.8× 399 1.9× 38 2.3k
William C. Kopp United States 21 563 1.2× 554 1.3× 881 2.2× 159 0.7× 148 0.7× 47 2.0k
K M Mohler United States 15 511 1.1× 528 1.2× 1.2k 3.0× 201 0.9× 123 0.6× 23 2.5k
H S Shin United States 20 162 0.4× 734 1.7× 826 2.0× 169 0.8× 187 0.9× 30 2.0k
D W Kawka United States 19 247 0.5× 596 1.3× 331 0.8× 154 0.7× 109 0.5× 30 2.0k
Eitan Yefenof Israel 28 684 1.5× 684 1.5× 1.2k 2.9× 216 1.0× 145 0.7× 114 2.4k
Peter M. Morganelli United States 20 226 0.5× 861 1.9× 774 1.9× 103 0.5× 223 1.0× 27 2.1k
Michel Dy France 26 447 1.0× 732 1.7× 2.3k 5.6× 165 0.8× 304 1.4× 48 3.0k
Renata Polanowska‐Grabowska United States 21 133 0.3× 420 0.9× 368 0.9× 528 2.4× 107 0.5× 36 1.5k

Countries citing papers authored by T. O'Reilly

Since Specialization
Citations

This map shows the geographic impact of T. O'Reilly'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 T. O'Reilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. O'Reilly more than expected).

Fields of papers citing papers by T. O'Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. O'Reilly. 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 T. O'Reilly. The network helps show where T. O'Reilly may publish in the future.

Co-authorship network of co-authors of T. O'Reilly

This figure shows the co-authorship network connecting the top 25 collaborators of T. O'Reilly. A scholar is included among the top collaborators of T. O'Reilly 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 T. O'Reilly. T. O'Reilly 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.
Laborde, Laurent, Dario Sterker, Hans-Peter Gschwind, et al.. (2018). Continuous low-dose infusion of patupilone increases the therapeutic index in mouse and rat tumour models. Anti-Cancer Drugs. 29(7). 691–701. 1 indexed citations
3.
Beuvink, Iwan, Anne Boulay, Stefano Fumagalli, et al.. (2004). 40 RAD001 sensitizes tumor cells to cisplatin-induced apoptosis in an mTOR dependent manner by inhibition of p53-induced p21 protein expression. European Journal of Cancer Supplements. 2(8). 16–16. 1 indexed citations
4.
Friedlos, Frank, Stephen M. Stribbling, Jean‐Christian Roussel, et al.. (2003). A novel vascular endothelial growth factor-directed therapy that selectively activates cytotoxic prodrugs. British Journal of Cancer. 88(10). 1622–1630. 11 indexed citations
5.
Medhurst, Stephen J., Katherine Walker, Bruce Kidd, et al.. (2002). A rat model of bone cancer pain. Pain. 96(1). 129–140. 262 indexed citations
6.
Soni, Rajeev, T. O'Reilly, Pascal Furet, et al.. (2001). Selective In Vivo and In Vitro Effects of a Small Molecule Inhibitor of Cyclin-Dependent Kinase 4. JNCI Journal of the National Cancer Institute. 93(6). 436–446. 80 indexed citations
7.
Alberta, John A., Melih Acar, Palma Iannarelli, et al.. (2000). Intracranial inhibition of platelet-derived growth factor-mediated glioblastoma cell growth by an orally active kinase inhibitor of the 2-phenylaminopyrimidine class.. PubMed. 60(18). 5143–50. 237 indexed citations
8.
9.
Rooney, Paul J., Graeme Bilbe, O. Zák, & T. O'Reilly. (1995). Dexamethasone treatment of lipopolysaccharide-induced meningitis in rabbits that mimics magnification of inflammation following antibiotic therapy. Journal of Medical Microbiology. 43(1). 37–44. 7 indexed citations
10.
Majcherczyk, Paul, Stefan Kunz, Marc Hattenberger, et al.. (1994). Isolation and in-vitro and in-vivo characterisation of a mutant of Pseudomonas aeruginosa PAO1 that exhibited a reduced postantibiotic effect in response to imipenem. Journal of Antimicrobial Chemotherapy. 34(4). 485–505. 8 indexed citations
11.
Zák, O. & T. O'Reilly. (1993). Animal infection models and ethics--the perfect infection model. Journal of Antimicrobial Chemotherapy. 31(suppl D). 193–205. 17 indexed citations
12.
Norrby, S. Ragnar, T. O'Reilly, & O. Zák. (1993). Efficacy of antimicrobial agent treatment in relation to treatment regimen: experimental models and clinical evaluation. Journal of Antimicrobial Chemotherapy. 31(suppl D). 41–54. 5 indexed citations
13.
Hengstler, B., et al.. (1992). Experimental rabbit model of meningitis produced by Haemophilus influenzae serotype c. Journal of Medical Microbiology. 36(5). 312–317. 3 indexed citations
14.
O'Reilly, T. & O. Zák. (1992). Enhancement of the Effectiveness of Antimicrobial Therapy by Muramyl Peptide Immunomodulators. Clinical Infectious Diseases. 14(5). 1100–1109. 36 indexed citations
15.
O'Reilly, T. & O. Zák. (1992). Elevated body temperature restricts growth of Haemophilus influenzae type b during experimental meningitis. Infection and Immunity. 60(8). 3448–3451. 7 indexed citations
16.
O'Reilly, T., I Maciver, Robert K. Poole, et al.. (1992). Effect of haemin limitation on the cytochrome complement and glucose metabolism of non-typable Haemophilus influenzae. Journal of Medical Microbiology. 37(2). 133–140. 1 indexed citations
17.
Zák, O. & T. O'Reilly. (1991). Animal models in the evaluation of antimicrobial agents. Antimicrobial Agents and Chemotherapy. 35(8). 1527–1531. 52 indexed citations
18.
Zák, O. & T. O'Reilly. (1990). Animal models as predictors of the safety and efficacy of antibiotics. European Journal of Clinical Microbiology & Infectious Diseases. 9(7). 472–478. 16 indexed citations
19.
Zák, O., Helmut Mett, & T. O'Reilly. (1990). Remarks on the screening of antibiotics for antibacterial activity. European Journal of Clinical Microbiology & Infectious Diseases. 9(7). 462–465.
20.
Niven, Donald F. & T. O'Reilly. (1990). Significance of V-Factor Dependency in the Taxonomy of Haemophilus Species and Related Organisms. International Journal of Systematic Bacteriology. 40(1). 1–4. 22 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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