Caroline J. Richardson

5.1k total citations · 1 hit paper
27 papers, 3.6k citations indexed

About

Caroline J. Richardson is a scholar working on Molecular Biology, Toxicology and Oncology. According to data from OpenAlex, Caroline J. Richardson has authored 27 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Toxicology and 8 papers in Oncology. Recurrent topics in Caroline J. Richardson's work include Cancer therapeutics and mechanisms (11 papers), Bioactive Compounds and Antitumor Agents (10 papers) and DNA Repair Mechanisms (9 papers). Caroline J. Richardson is often cited by papers focused on Cancer therapeutics and mechanisms (11 papers), Bioactive Compounds and Antitumor Agents (10 papers) and DNA Repair Mechanisms (9 papers). Caroline J. Richardson collaborates with scholars based in United Kingdom, United States and France. Caroline J. Richardson's co-authors include Graeme C.M. Smith, Nicola J. Curtin, Niall M.B. Martin, Roger J. Griffin, Elizabeth Magee, John H. Cummings, Ian Hickson, Yan Zhao, Stephen P. Jackson and Philip M. Reaper and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Cancer Research.

In The Last Decade

Caroline J. Richardson

27 papers receiving 3.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification and Characterization of a Novel and Specific Inhibitor of the Ataxia-Telangiectasia Mutated Kinase ATM

2004 983 citations Ian Hickson, Caroline J. Richardson et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caroline J. Richardson United Kingdom	20	2.6k	1.2k	426	392	257	27	3.6k
Volker Gekeler Germany	35	3.0k 1.1×	2.0k 1.6×	225 0.5×	608 1.6×	419 1.6×	88	4.6k
Zheng Yang United States	36	1.3k 0.5×	845 0.7×	335 0.8×	238 0.6×	157 0.6×	107	3.5k
Mei Wang China	34	2.4k 0.9×	617 0.5×	202 0.5×	718 1.8×	285 1.1×	146	4.0k
Weiru Wang United States	32	2.9k 1.1×	705 0.6×	230 0.5×	169 0.4×	353 1.4×	67	3.9k
Roger G. Ulrich United States	38	3.2k 1.2×	976 0.8×	216 0.5×	329 0.8×	148 0.6×	115	6.2k
Guido J.R. Zaman Netherlands	34	1.9k 0.7×	2.3k 1.9×	156 0.4×	245 0.6×	286 1.1×	87	4.2k
Maria D. Person United States	30	2.5k 1.0×	606 0.5×	129 0.3×	497 1.3×	258 1.0×	57	3.8k
Zhen Xiao United States	34	2.5k 1.0×	679 0.6×	428 1.0×	452 1.2×	248 1.0×	105	4.5k
Timothy Madden United States	37	2.1k 0.8×	1.6k 1.3×	164 0.4×	714 1.8×	112 0.4×	108	4.8k

Countries citing papers authored by Caroline J. Richardson

Since Specialization

Citations

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

Fields of papers citing papers by Caroline J. Richardson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline J. Richardson

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

All Works

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20 of 20 papers shown

Norton, David L., William G. Bonnette, James F. Callahan, et al.. (2021). Fragment-Guided Discovery of Pyrazole Carboxylic Acid Inhibitors of the Kelch-like ECH-Associated Protein 1: Nuclear Factor Erythroid 2 Related Factor 2 (KEAP1:NRF2) Protein−Protein Interaction. Journal of Medicinal Chemistry. 64(21). 15949–15972. 23 indexed citations

Cleasby, Anne, Jeff Yon, Philip J. Day, et al.. (2014). Structure of the BTB Domain of Keap1 and Its Interaction with the Triterpenoid Antagonist CDDO. PLoS ONE. 9(6). e98896–e98896. 202 indexed citations

Batey, Michael A., Yan Zhao, Suzanne Kyle, et al.. (2013). Preclinical Evaluation of a Novel ATM Inhibitor, KU59403, In Vitro and In Vivo in p53 Functional and Dysfunctional Models of Human Cancer. Molecular Cancer Therapeutics. 12(6). 959–967. 113 indexed citations

Munck, Joanne M., Michael A. Batey, Yan Zhao, et al.. (2012). Chemosensitization of Cancer Cells by KU-0060648, a Dual Inhibitor of DNA-PK and PI-3K. Molecular Cancer Therapeutics. 11(8). 1789–1798. 99 indexed citations

Woodhead, Andrew, Gianni Chessari, Maria G. Carr, et al.. (2012). Discovery of an allosteric mechanism for the regulation of HCV NS3 protein function. Nature Chemical Biology. 8(11). 920–925. 85 indexed citations

Cano, Céline, Marine Desage‐El Murr, Roger J. Griffin, et al.. (2011). Versatile synthesis of functionalised dibenzothiophenes via Suzuki coupling and microwave-assisted ring closure. Organic & Biomolecular Chemistry. 9(17). 6066–6066. 10 indexed citations

Dawson, Mark A., Jayne Curry, Philip Beer, et al.. (2010). AT9283, a potent inhibitor of the Aurora kinases and Jak2, has therapeutic potential in myeloproliferative disorders. British Journal of Haematology. 150(1). 46–57. 41 indexed citations

Cano, Céline, Olivier Barbeau, C. L. Bailey, et al.. (2010). DNA-Dependent Protein Kinase (DNA-PK) Inhibitors. Synthesis and Biological Activity of Quinolin-4-one and Pyridopyrimidin-4-one Surrogates for the Chromen-4-one Chemotype. Journal of Medicinal Chemistry. 53(24). 8498–8507. 35 indexed citations

Albertella, Mark R., Céline Cano, Nicola J. Curtin, et al.. (2008). Identification of potent water-soluble DNA-dependent protein kinase (DNA-PK) inhibitors using a small-molecule library approach [abstract]. Cancer Research. 68. 4156–4156. 3 indexed citations

10.

Murr, Marine Desage‐El, Céline Cano, Bernard T. Golding, et al.. (2008). 8-Biarylchromen-4-one inhibitors of the DNA-dependent protein kinase (DNA-PK). Bioorganic & Medicinal Chemistry Letters. 18(17). 4885–4890. 18 indexed citations

11.

Barbeau, Olivier, Céline Cano, Roger J. Griffin, et al.. (2007). Quinolinone and pyridopyrimidinone inhibitors of DNA-dependent protein kinase. Organic & Biomolecular Chemistry. 5(16). 2670–2670. 19 indexed citations

12.

Hollick, Jonathan J., Laurent Rigoreau, Céline Cano, et al.. (2007). Pyranone, Thiopyranone, and Pyridone Inhibitors of Phosphatidylinositol 3-Kinase Related Kinases. Structure−Activity Relationships for DNA-Dependent Protein Kinase Inhibition, and Identification of the First Potent and Selective Inhibitor of the Ataxia Telangiectasia Mutated Kinase. Journal of Medicinal Chemistry. 50(8). 1958–1972. 61 indexed citations

13.

Golding, Bernard T., Roger J. Griffin, Ian R. Hardcastle, et al.. (2005). Identification of a Highly Potent and Selective DNA‐Dependent Protein Kinase (DNA‐PK) Inhibitor (NU7441) by Screening of Chromenone Libraries.. ChemInform. 36(15). 2 indexed citations

14.

Hardcastle, Ian R., Xiaoling Cockcroft, Nicola J. Curtin, et al.. (2005). Discovery of Potent Chromen-4-one Inhibitors of the DNA-Dependent Protein Kinase (DNA-PK) Using a Small-Molecule Library Approach. Journal of Medicinal Chemistry. 48(24). 7829–7846. 137 indexed citations

15.

Golding, Bernard T., Roger J. Griffin, Ian R. Hardcastle, et al.. (2004). Identification of a highly potent and selective DNA-dependent protein kinase (DNA-PK) inhibitor (NU7441) by screening of chromenone libraries. Bioorganic & Medicinal Chemistry Letters. 14(24). 6083–6087. 319 indexed citations

16.

Hollick, Jonathan J., Bernard T. Golding, Ian R. Hardcastle, et al.. (2003). 2,6-Disubstituted pyran-4-one and thiopyran-4-one inhibitors of DNA-Dependent protein kinase (DNA-PK). Bioorganic & Medicinal Chemistry Letters. 13(18). 3083–3086. 83 indexed citations

17.

Hollick, Jonathan J., Bernard T. Golding, Ian R. Hardcastle, et al.. (2003). 2,6‐Disubstituted Pyran‐4‐one and Thiopyran‐4‐one Inhibitors of DNA‐Dependent Protein Kinase (DNA‐PK).. ChemInform. 34(51). 2 indexed citations

18.

Magee, Elizabeth, Caroline J. Richardson, Róisín Hughes, & John H. Cummings. (2000). Contribution of dietary protein to sulfide production in the large intestine: an in vitro and a controlled feeding study in humans. American Journal of Clinical Nutrition. 72(6). 1488–1494. 277 indexed citations

19.

Richardson, Caroline J., Elizabeth Magee, & John H. Cummings. (2000). A new method for the determination of sulphide in gastrointestinal contents and whole blood by microdistillation and ion chromatography. Clinica Chimica Acta. 293(1-2). 115–125. 120 indexed citations

20.

Richardson, Caroline J., et al.. (1995). Mode of action of the anilino‐pyrimidine fungicide pyrimethanil. 2. Effects on enzyme secretion in Botrytis cinerea. Pesticide Science. 45(1). 43–48. 76 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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