Ian A. Brewis

2.3k total citations
38 papers, 1.9k citations indexed

About

Ian A. Brewis is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ian A. Brewis has authored 38 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Reproductive Medicine, 15 papers in Molecular Biology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ian A. Brewis's work include Sperm and Testicular Function (20 papers), Reproductive Biology and Fertility (13 papers) and Advanced Proteomics Techniques and Applications (4 papers). Ian A. Brewis is often cited by papers focused on Sperm and Testicular Function (20 papers), Reproductive Biology and Fertility (13 papers) and Advanced Proteomics Techniques and Applications (4 papers). Ian A. Brewis collaborates with scholars based in United Kingdom, Netherlands and Saudi Arabia. Ian A. Brewis's co-authors include Bart M. Gadella, Paul Brennan, Pei‐Shiue Tsai, Malcolm D. Mason, Aled Clayton, H. D. M. Moore, Sanjay Khanna, Peter Giles, Joanne L. Welton and Renske A. van Gestel and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical Journal.

In The Last Decade

Ian A. Brewis

38 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
Ian A. Brewis United Kingdom 22 879 828 642 207 174 38 1.9k
Françoise Dacheux France 25 709 0.8× 1.1k 1.4× 614 1.0× 114 0.6× 311 1.8× 37 2.0k
Søren Naaby‐Hansen United States 22 977 1.1× 950 1.1× 658 1.0× 57 0.3× 329 1.9× 34 1.9k
Jean‐Louis Dacheux France 32 1.0k 1.2× 1.9k 2.3× 1.1k 1.7× 141 0.7× 470 2.7× 79 3.0k
Gail A. Cornwall United States 27 759 0.9× 970 1.2× 579 0.9× 155 0.7× 453 2.6× 59 1.8k
Gilles Frenette Canada 32 1.3k 1.5× 1.7k 2.0× 814 1.3× 374 1.8× 384 2.2× 74 3.3k
Yoshihiko Araki Japan 29 1.3k 1.4× 966 1.2× 742 1.2× 159 0.8× 460 2.6× 129 2.6k
Richard T. Richardson United States 29 1.0k 1.1× 1.1k 1.3× 580 0.9× 90 0.4× 464 2.7× 54 2.2k
Jagathpala Shetty United States 20 509 0.6× 884 1.1× 702 1.1× 45 0.2× 338 1.9× 32 1.5k
V. Anne Westbrook United States 19 645 0.7× 1.0k 1.2× 790 1.2× 25 0.1× 323 1.9× 24 1.6k
Miriam Sutovsky United States 29 1.0k 1.2× 1.1k 1.3× 911 1.4× 74 0.4× 488 2.8× 62 2.1k

Countries citing papers authored by Ian A. Brewis

Since Specialization
Citations

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

Fields of papers citing papers by Ian A. Brewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian A. Brewis. 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 Ian A. Brewis. The network helps show where Ian A. Brewis may publish in the future.

Co-authorship network of co-authors of Ian A. Brewis

This figure shows the co-authorship network connecting the top 25 collaborators of Ian A. Brewis. A scholar is included among the top collaborators of Ian A. Brewis 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 Ian A. Brewis. Ian A. Brewis 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.
Webber, Jason, Timothy Stone, Evaldas Katilius, et al.. (2014). Proteomics Analysis of Cancer Exosomes Using a Novel Modified Aptamer-based Array (SOMAscanTM) Platform. Molecular & Cellular Proteomics. 13(4). 1050–1064. 130 indexed citations
2.
Hoogendoorn, Bastiaan, Kelly BéruBé, Clive Gregory, et al.. (2012). Gene and protein responses of human lung tissue explants exposed to ambient particulate matter of different sizes. Inhalation Toxicology. 24(14). 966–975. 9 indexed citations
3.
4.
Sexton, Keith, Dominique Balharry, Paul Brennan, et al.. (2011). Proteomic profiling of human respiratory epithelia by iTRAQ reveals biomarkers of exposure and harm by tobacco smoke components. Biomarkers. 16(7). 567–576. 21 indexed citations
5.
Brennan, Paul, et al.. (2010). Bicarbonate‐Dependent Serine/Threonine Protein Dephosphorylation in Capacitating Boar Spermatozoa. Journal of Andrology. 31(4). 393–405. 6 indexed citations
6.
Brewis, Ian A. & Paul Brennan. (2010). Proteomics technologies for the global identification and quantification of proteins. Advances in protein chemistry and structural biology. 80. 1–44. 126 indexed citations
7.
Brennan, Paul, Mathew Clement, Saman Hewamana, et al.. (2009). Quantitative nuclear proteomics reveals new phenotypes altered in lymphoblastoid cells. PROTEOMICS - CLINICAL APPLICATIONS. 3(3). 359–369. 9 indexed citations
8.
Brewis, Ian A. & Bart M. Gadella. (2009). Sperm surface proteomics: from protein lists to biological function. Molecular Human Reproduction. 16(2). 68–79. 79 indexed citations
9.
Boerke, Arjan, Pei‐Shiue Tsai, N. García-Gil, Ian A. Brewis, & Bart M. Gadella. (2008). Capacitation-dependent reorganization of microdomains in the apical sperm head plasma membrane: Functional relationship with zona binding and the zona-induced acrosome reaction. Theriogenology. 70(8). 1188–1196. 84 indexed citations
10.
Gestel, Renske A. van, Ian A. Brewis, Peter R. Ashton, Jos F. Brouwers, & B.M. Gadella. (2007). Multiple proteins present in purified porcine sperm apical plasma membranes interact with the zona pellucida of the oocyte. Molecular Human Reproduction. 13(7). 445–454. 100 indexed citations
11.
Brewis, Ian A., H. D. M. Moore, Lynn R. Fraser, et al.. (2005). Molecular mechanisms during sperm capacitation. Human Fertility. 8(4). 253–261. 18 indexed citations
12.
13.
Gestel, Renske A. van, Ian A. Brewis, Peter R. Ashton, et al.. (2005). Capacitation-dependent concentration of lipid rafts in the apical ridge head area of porcine sperm cells. Molecular Human Reproduction. 11(8). 583–590. 130 indexed citations
14.
Kilani, Zaid, et al.. (2004). Evaluation and treatment of familial globozoospermia in five brothers. Fertility and Sterility. 82(5). 1436–1439. 64 indexed citations
15.
Lefièvre, Linda, Christopher L. R. Barratt, Claire V. Harper, et al.. (2003). Physiological and proteomic approaches to studying prefertilization events in the human. Reproductive BioMedicine Online. 7(4). 419–427. 24 indexed citations
16.
Brewis, Ian A., et al.. (2001). Solubilized zona pellucida proteins and progesterone induce calcium influx and the acrosome reaction in capacitated dog spermatozoa. Molecular Reproduction and Development. 60(4). 491–497. 31 indexed citations
17.
Brewis, Ian A.. (1999). Proteomics in reproductive research: The potential importance of proteomics to research in reproduction. Human Reproduction. 14(12). 2927–2929. 34 indexed citations
18.
19.
Brewis, Ian A., Michael A. J. Ferguson, Angela Mehlert, Anthony J. Turner, & Nigel M. Hooper. (1995). Structures of the Glycosyl-phosphatidylinositol Anchors of Porcine and Human Renal Membrane Dipeptidase. Journal of Biological Chemistry. 270(39). 22946–22956. 89 indexed citations
20.
Brewis, Ian A., R.M.L. Winston, & Henry J. Leese. (1992). Energy metabolism of the human Fallopian tube. Reproduction. 95(1). 257–262. 4 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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