Todd J. Page

545 total citations
18 papers, 431 citations indexed

About

Todd J. Page is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Todd J. Page has authored 18 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Physiology. Recurrent topics in Todd J. Page's work include Immunotoxicology and immune responses (3 papers), Carcinogens and Genotoxicity Assessment (2 papers) and RNA Interference and Gene Delivery (2 papers). Todd J. Page is often cited by papers focused on Immunotoxicology and immune responses (3 papers), Carcinogens and Genotoxicity Assessment (2 papers) and RNA Interference and Gene Delivery (2 papers). Todd J. Page collaborates with scholars based in United States, Denmark and Japan. Todd J. Page's co-authors include Charles J. Czuprynski, Colin R. Jefcoate, Russell S. Thomas, Longlong Yang, Russell D. Wolfinger, Linda Pluta, Thomas Kodadek, Devanjan Sikder, John E. Mata and Patrick L. Iversen and has published in prestigious journals such as Infection and Immunity, Molecular Pharmacology and Experimental Cell Research.

In The Last Decade

Todd J. Page

17 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd J. Page United States 10 215 75 68 66 61 18 431
Ronald D. Eichner Australia 11 173 0.8× 20 0.3× 63 0.9× 38 0.6× 25 0.4× 16 460
Sven O. Dahms Germany 18 437 2.0× 222 3.0× 60 0.9× 37 0.6× 16 0.3× 31 810
Wendy E. Lees United Kingdom 12 230 1.1× 54 0.7× 32 0.5× 33 0.5× 83 1.4× 14 452
Jan T. Lutgerink Netherlands 14 410 1.9× 30 0.4× 30 0.4× 105 1.6× 19 0.3× 15 540
Mojtaba Esfahani United States 11 378 1.8× 25 0.3× 31 0.5× 38 0.6× 8 0.1× 16 505
Lynea Murphy United States 12 277 1.3× 12 0.2× 35 0.5× 75 1.1× 41 0.7× 18 413
Umberto Ferrini Italy 11 394 1.8× 27 0.4× 85 1.3× 30 0.5× 6 0.1× 39 563
Kenneth D. Ley United States 11 495 2.3× 40 0.5× 60 0.9× 78 1.2× 10 0.2× 17 735
Boctor Said United States 9 336 1.6× 32 0.4× 22 0.3× 37 0.6× 25 0.4× 13 424
Kunal Aggarwal United States 6 333 1.5× 22 0.3× 18 0.3× 26 0.4× 10 0.2× 12 517

Countries citing papers authored by Todd J. Page

Since Specialization
Citations

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

Fields of papers citing papers by Todd J. Page

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd J. Page. 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 Todd J. Page. The network helps show where Todd J. Page may publish in the future.

Co-authorship network of co-authors of Todd J. Page

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

All Works

18 of 18 papers shown
1.
2.
Carfagna, Mark A., et al.. (2020). Leveraging the Value of CDISC SEND Data Sets for Cross-Study Analysis: Incidence of Microscopic Findings in Control Animals. Chemical Research in Toxicology. 34(2). 483–494. 6 indexed citations
3.
Carfagna, Mark A., et al.. (2019). SEND harmonization & cross-study analysis: A proposal to better harvest the value from SEND data. Regulatory Toxicology and Pharmacology. 111. 104542–104542. 6 indexed citations
4.
Bleisch, Thomas J., Timothy I. Richardson, Yong Wang, et al.. (2016). Identification of potent and selective retinoic acid receptor gamma (RARγ) antagonists for the treatment of osteoarthritis pain using structure based drug design. Bioorganic & Medicinal Chemistry Letters. 26(14). 3274–3277. 21 indexed citations
5.
Breslin, William J., et al.. (2014). Assessment of fetal exposure risk following seminal excretion of a therapeutic IgG4 (T-IgG4) monoclonal antibody using a rabbit model. Reproductive Toxicology. 48. 124–131. 8 indexed citations
6.
Breslin, William J., et al.. (2014). Assessment of fetal exposure risk following seminal excretion of a therapeutic IgG4 (T-IgG4) monoclonal antibody using a rabbit model. Reproductive Toxicology. 48. 20–21. 1 indexed citations
7.
Norman, Bryan H., Andrew G. Geiser, M.G. Chambers, et al.. (2013). Selective RAR gamma antagonist LY2813631 protects against retinoid induced cartilage degradation in preclinical models of arthritis. Osteoarthritis and Cartilage. 21. S287–S288. 1 indexed citations
8.
Hansen, Marvin M., et al.. (2013). The Assessment of Impurities for Genotoxic Potential and Subsequent Control in Drug Substance and Drug Product. Journal of Pharmaceutical Sciences. 102(5). 1404–1418. 31 indexed citations
9.
Rudmann, Daniel G., Todd J. Page, John L. Vahle, et al.. (2011). Rat-Specific Decreases in Platelet Count Caused by a Humanized Monoclonal Antibody Against Sclerostin. Toxicological Sciences. 125(2). 586–594. 10 indexed citations
10.
Roberts, Elizabeth S., et al.. (2007). Basal Gene Expression in Male and Female Sprague-Dawley Rat Nasal Respiratory and Olfactory Epithelium. Inhalation Toxicology. 19(11). 941–949. 3 indexed citations
11.
Thomas, Russell S., Thomas M. O’Connell, Linda Pluta, et al.. (2006). A Comparison of Transcriptomic and Metabonomic Technologies for Identifying Biomarkers Predictive of Two-Year Rodent Cancer Bioassays. Toxicological Sciences. 96(1). 40–46. 33 indexed citations
12.
Page, Todd J., Devanjan Sikder, Longlong Yang, et al.. (2006). Genome-wide analysis of human HSF1 signaling reveals a transcriptional program linked to cellular adaptation and survival. Molecular BioSystems. 2(12). 627–639. 104 indexed citations
13.
Galván, Noé, Todd J. Page, Charles J. Czuprynski, & Colin R. Jefcoate. (2005). Benzo(a)pyrene and 7,12-dimethylbenz(a)anthrecene differentially affect bone marrow cells of the lymphoid and myeloid lineages. Toxicology and Applied Pharmacology. 213(2). 105–116. 33 indexed citations
14.
Page, Todd J., Peter S. MacWilliams, M. Suresh, Colin R. Jefcoate, & Charles J. Czuprynski. (2004). 7–12 Dimethylbenz[a]anthracene-induced bone marrow hypocellularity is dependent on signaling through both the TNFR and PKR. Toxicology and Applied Pharmacology. 198(1). 21–28. 23 indexed citations
15.
Page, Todd J., et al.. (2002). 7,12-Dimethylbenz[a]anthracene Induces Apoptosis in Murine Pre-B Cells through a Caspase-8–Dependent Pathway. Molecular Pharmacology. 62(2). 313–319. 34 indexed citations
16.
Leite, Fábio Pereira Leivas, Sarah A. O’Brien, Matthew J. Sylte, et al.. (2002). Inflammatory Cytokines Enhance the Interaction of Mannheimia haemolytica Leukotoxin with Bovine Peripheral Blood Neutrophils In Vitro. Infection and Immunity. 70(8). 4336–4343. 43 indexed citations
17.
Page, Todd J., John E. Mata, Julia A. Bridge, et al.. (1999). The Cytotoxic Effects of Single-Stranded Telomere Mimics on OMA-BL1 Cells. Experimental Cell Research. 252(1). 41–49. 8 indexed citations
18.
Mata, John E., S. K. Joshi, Brian N. Palen, et al.. (1997). A Hexameric Phosphorothioate Oligonucleotide Telomerase Inhibitor Arrests Growth of Burkitt's Lymphoma Cellsin Vitroandin Vivo. Toxicology and Applied Pharmacology. 144(1). 189–197. 66 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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