Philip J. Brooks

6.6k total citations
100 papers, 4.6k citations indexed

About

Philip J. Brooks is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Philip J. Brooks has authored 100 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 19 papers in Genetics and 17 papers in Cancer Research. Recurrent topics in Philip J. Brooks's work include DNA Repair Mechanisms (33 papers), CRISPR and Genetic Engineering (15 papers) and Carcinogens and Genotoxicity Assessment (14 papers). Philip J. Brooks is often cited by papers focused on DNA Repair Mechanisms (33 papers), CRISPR and Genetic Engineering (15 papers) and Carcinogens and Genotoxicity Assessment (14 papers). Philip J. Brooks collaborates with scholars based in United States, Japan and United Kingdom. Philip J. Brooks's co-authors include David Goldman, Jacob A. Theruvathu, Cheryl Marietta, Margaret M. McCarthy, Samir Zakhari, Akira Yokoyama, Ting‐Kai Li, Mary‐Anne Enoch, Donald W. Pfaff and P. Kay Lund and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Philip J. Brooks

99 papers receiving 4.5k citations

Peers

Philip J. Brooks
Lin Yuan China
Tilman Oltersdorf United States
J. Mark Cline United States
Suzanne D. Conzen United States
Hong Ye United States
Philip J. Brooks
Citations per year, relative to Philip J. Brooks Philip J. Brooks (= 1×) peers Patrízia Limonta

Countries citing papers authored by Philip J. Brooks

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip J. Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Brooks. A scholar is included among the top collaborators of Philip J. Brooks 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 Philip J. Brooks. Philip J. Brooks 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.
Garrido‐Estepa, Macarena, Daniel O’Connor, Rima Nabbout, et al.. (2023). Targeting shared molecular etiologies to accelerate drug development for rare diseases. EMBO Molecular Medicine. 15(7). e17159–e17159. 19 indexed citations
2.
Brooks, Philip J., Dwight D. Koeberl, Amy Brower, et al.. (2023). Moving away from one disease at a time: Screening, trial design, and regulatory implications of novel platform technologies. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 193(1). 30–43. 5 indexed citations
3.
Tambuyzer, Erik, Benjamin Vandendriessche, Christopher P. Austin, et al.. (2020). Publisher Correction: Therapies for rare diseases: therapeutic modalities, progress and challenges ahead. Nature Reviews Drug Discovery. 19(4). 291–291. 3 indexed citations
4.
Perry, Mary Ellen, Kayla M. Valdes, Elizabeth L. Wilder, Christopher P. Austin, & Philip J. Brooks. (2018). Genome editing to 're-write' wrongs. Nature Reviews Drug Discovery. 17(10). 689–690. 8 indexed citations
5.
Wang, Yuming, Probir Chakravarty, Michael Ranes, et al.. (2014). Dysregulation of gene expression as a cause of Cockayne syndrome neurological disease. Proceedings of the National Academy of Sciences. 111(40). 14454–14459. 80 indexed citations
6.
Balbo, Silvia & Philip J. Brooks. (2014). Implications of Acetaldehyde-Derived DNA Adducts for Understanding Alcohol-Related Carcinogenesis. Advances in experimental medicine and biology. 815. 71–88. 41 indexed citations
7.
Wang, Jin, Huachuan Cao, Changjun You, et al.. (2012). Endogenous formation and repair of oxidatively induced G[8-5 m]T intrastrand cross-link lesion. Nucleic Acids Research. 40(15). 7368–7374. 32 indexed citations
8.
Yamamoto, Junpei, et al.. (2012). Effects of 5′,8-Cyclodeoxyadenosine Triphosphates on DNA Synthesis. Chemical Research in Toxicology. 25(12). 2718–2724. 11 indexed citations
9.
Abraham, Jessy, Silvia Balbo, David W. Crabb, & Philip J. Brooks. (2011). Alcohol Metabolism in Human Cells Causes DNA Damage and Activates the Fanconi Anemia–Breast Cancer Susceptibility (FA‐BRCA) DNA Damage Response Network. Alcoholism Clinical and Experimental Research. 35(12). 2113–2120. 37 indexed citations
10.
Brooks, Philip J., Mary‐Anne Enoch, David Goldman, Ting‐Kai Li, & Akira Yokoyama. (2009). The Alcohol Flushing Response: An Unrecognized Risk Factor for Esophageal Cancer from Alcohol Consumption. PLoS Medicine. 6(3). e1000050–e1000050. 334 indexed citations
11.
Theruvathu, Jacob A., Paweł Jaruga, Miral Dizdaroğlu, & Philip J. Brooks. (2007). The oxidatively induced DNA lesions 8,5′-cyclo-2′-deoxyadenosine and 8-hydroxy-2′-deoxyadenosine are strongly resistant to acid-induced hydrolysis of the glycosidic bond. Mechanisms of Ageing and Development. 128(9). 494–502. 27 indexed citations
12.
Cardozo‐Pelaez, Fernando, Todd Stedeford, Philip J. Brooks, Shijie Song, & Juan Sanchez‐Ramos. (2002). Effects of diethylmaleate on DNA damage and repair in the mouse brain. Free Radical Biology and Medicine. 33(2). 292–298. 19 indexed citations
14.
Brooks, Philip J., Dean S. Wise, David A. Berry, et al.. (2000). The Oxidative DNA Lesion 8,5′-(S)-Cyclo-2′-deoxyadenosine Is Repaired by the Nucleotide Excision Repair Pathway and Blocks Gene Expression in Mammalian Cells. Journal of Biological Chemistry. 275(29). 22355–22362. 237 indexed citations
15.
McCarthy, Margaret M., et al.. (1995). Estrogen modulation of mRNA levels for the two forms of glutamic acid decarboxylase (GAD) in female rat brain. The Journal of Comparative Neurology. 360(4). 685–697. 102 indexed citations
16.
Funabashi, Toshiya, Philip J. Brooks, Steven P. Kleopoulos, et al.. (1995). Changes in preproenkephalin messenger RNA level in the rat ventromedial hypothalamus during the estrous cycle. Molecular Brain Research. 28(1). 129–134. 35 indexed citations
17.
Funabashi, Toshiya, Philip J. Brooks, Gary D. Weesner, & Donald W. Pfaff. (1994). Luteinizing Hormone‐Releasing Hormone Receptor Messenger Ribonucleic Acid Expression in the Rat Pituitary during Lactation and the Estrous Cycle. Journal of Neuroendocrinology. 6(3). 261–266. 30 indexed citations
18.
Brooks, Philip J.. (1992). The Regulation of Oxytocin mRNA Levels in the Medial Preoptic Area. Annals of the New York Academy of Sciences. 652(1). 271–285. 16 indexed citations
19.
Caldwell, Jack D., et al.. (1989). Estrogen Alters Oxytocin mRNA Levels in the Preoptic Area. Journal of Neuroendocrinology. 1(4). 273–278. 73 indexed citations
20.
Hynes, Mary, Philip J. Brooks, Judson J. Van Wyk, & P. Kay Lund. (1988). Insulin-Like Growth Factor II Messenger Ribonucleic Acids are Synthesized in the Choroid Plexus of the Rat Brain. Molecular Endocrinology. 2(1). 47–54. 101 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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