M. Chamberlain

2.7k total citations
58 papers, 1.9k citations indexed

About

M. Chamberlain is a scholar working on Small Animals, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. Chamberlain has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Small Animals, 12 papers in Molecular Biology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. Chamberlain's work include Animal testing and alternatives (15 papers), Occupational and environmental lung diseases (10 papers) and Contact Dermatitis and Allergies (9 papers). M. Chamberlain is often cited by papers focused on Animal testing and alternatives (15 papers), Occupational and environmental lung diseases (10 papers) and Contact Dermatitis and Allergies (9 papers). M. Chamberlain collaborates with scholars based in United Kingdom, United States and Netherlands. M. Chamberlain's co-authors include Robert C. Brown, David A. Basketter, Martin D. Barratt, C. Roland Wolf, Lucinda A. Ivanoff, Barbara Ensoli, Flossie Wong‐Staal, D M Griffiths, Stephen R. Petteway and Amanda G. Fisher and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

M. Chamberlain

58 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Chamberlain United Kingdom 22 450 326 325 282 265 58 1.9k
Robert A. Squire United States 23 669 1.5× 218 0.7× 84 0.3× 40 0.1× 453 1.7× 47 2.1k
Robert M. Kovatch United States 23 547 1.2× 125 0.4× 83 0.3× 30 0.1× 394 1.5× 86 1.8k
Amy J. Clippinger United States 22 490 1.1× 151 0.5× 211 0.6× 38 0.1× 147 0.6× 41 1.7k
J. George Bekesi United States 25 708 1.6× 116 0.4× 41 0.1× 217 0.8× 170 0.6× 96 1.9k
Lu‐Ping Chow Taiwan 30 1.1k 2.4× 171 0.5× 38 0.1× 17 0.1× 171 0.6× 99 2.5k
John E. Sagartz United States 26 651 1.4× 155 0.5× 152 0.5× 182 0.6× 109 0.4× 43 1.8k
Wenli Zheng China 22 595 1.3× 50 0.2× 99 0.3× 50 0.2× 220 0.8× 68 1.8k
Jack H. Dean United States 27 314 0.7× 74 0.2× 295 0.9× 8 0.0× 304 1.1× 70 2.0k
Sarah D. Lamore United States 22 598 1.3× 74 0.2× 20 0.1× 69 0.2× 73 0.3× 29 1.4k
Markus Vogt Germany 19 1.2k 2.6× 94 0.3× 20 0.1× 616 2.2× 524 2.0× 32 2.7k

Countries citing papers authored by M. Chamberlain

Since Specialization
Citations

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

Fields of papers citing papers by M. Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Chamberlain

This figure shows the co-authorship network connecting the top 25 collaborators of M. Chamberlain. A scholar is included among the top collaborators of M. Chamberlain 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 M. Chamberlain. M. Chamberlain 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.
Boverhof, Darrell R., M. Chamberlain, Clifford R. Elcombe, et al.. (2011). Transgenic Animal Models in Toxicology: Historical Perspectives and Future Outlook. Toxicological Sciences. 121(2). 207–233. 58 indexed citations
2.
Liem, Amy, et al.. (2003). Doxorubicin and vinorelbine act independently via p53 expression and p38 activation respectively in breast cancer cell lines. British Journal of Cancer. 88(8). 1281–1284. 15 indexed citations
3.
Ding, Shaohong, et al.. (2001). Cross-talk between signalling pathways and the multidrug resistant protein MDR-1. British Journal of Cancer. 85(8). 1175–1184. 53 indexed citations
4.
Chamberlain, M., Edward A. Lock, & Celia J. Reed. (1998). Investigations of the pathways of toxicity of methyl iodide in the rat nasal cavity. Toxicology. 129(2-3). 169–181. 20 indexed citations
5.
Bruner, Leon H., Gemma Carr, Rodger D. Curren, & M. Chamberlain. (1998). Validation of alternative methods for toxicity testing.. Environmental Health Perspectives. 106(suppl 2). 477–484. 13 indexed citations
6.
Chamberlain, M., Shadeed Gad, P. Gautheron, & M.K. Prinsen. (1997). Organotypic models for the assessment/prediction of ocular irritation. Food and Chemical Toxicology. 7 indexed citations
7.
Chamberlain, M., Shayne C. Gad, P. Gautheron, & M.K. Prinsen. (1997). Irag Working Group 1: Organotypic models for the assessment/prediction of ocular irritation. Food and Chemical Toxicology. 35(1). 23–37. 26 indexed citations
8.
Chamberlain, M. & David A. Basketter. (1996). The local lymph node assay: Status of validation. Food and Chemical Toxicology. 34(10). 999–1002. 20 indexed citations
9.
Bouillon, Claude, Leon H. Bruner, M. Chamberlain, et al.. (1995). Development and validation of non-animal tests and testing strategies: the identification of a coordinated response to the challenge and the opportunity presented by the Sixth Amendment to the Cosmetics Directive (76/768/EEC). Alternatives to Laboratory Animals. 9 indexed citations
10.
Basketter, David A., E.W. Scholes, M. Chamberlain, & Martin D. Barratt. (1995). An alternative strategy to the use of guinea pigs for the identification of skin sensitization hazard. Food and Chemical Toxicology. 33(12). 1051–1056. 28 indexed citations
11.
Basketter, David A. & M. Chamberlain. (1995). Validation of skin sensitization assays. Food and Chemical Toxicology. 33(12). 1057–1059. 15 indexed citations
12.
Chamberlain, M. & Martin D. Barratt. (1995). Practical applications of QSAR to in vitro toxicology illustrated by consideration of eye irritation. Toxicology in Vitro. 9(4). 543–547. 15 indexed citations
13.
Basketter, David A., Edward Whittle, & M. Chamberlain. (1994). Identification of irritation and corrosion hazards to skin: an alternative strategy to animal testing. Food and Chemical Toxicology. 32(6). 539–542. 25 indexed citations
14.
Barratt, Martin D., et al.. (1994). Development of an expert system rulebase for identifying contact allergens. Toxicology in Vitro. 8(4). 837–839. 33 indexed citations
15.
Chamberlain, M. & W.E. Parish. (1990). Hazard and risk based on in vitro test data. Toxicology in Vitro. 4(4-5). 694–697. 6 indexed citations
16.
Chamberlain, M., et al.. (1987). Effects of fibrous and non-fibrous dusts on Chinese hamster V79 cells: Cytotoxicity or cytostasis?. Toxicology in Vitro. 1(2). 71–76. 5 indexed citations
17.
Chamberlain, M., et al.. (1983). Cytotoxic action of mineral dusts on CHV 79 cells in vitro: factors affecting toxicity.. Environmental Health Perspectives. 51. 189–193. 3 indexed citations
18.
Chamberlain, M., Robert C. Brown, R. Davies, & D M Griffiths. (1979). In vitro prediction of the pathogenicity of mineral dusts.. PubMed Central. 60(3). 320–7. 28 indexed citations
19.
Chamberlain, M. & Robert C. Brown. (1978). The cytotoxic effects of asbestos and other mineral dust in tissue culture cell lines.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 59(2). 183–9. 60 indexed citations
20.
Chamberlain, M. & E.M. Tarmy. (1977). Asbestos and glass fibres in bacterial mutation tests. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 43(2). 159–164. 75 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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