Ian Weeks

2.8k total citations
91 papers, 2.2k citations indexed

About

Ian Weeks is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ian Weeks has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 16 papers in Health, Toxicology and Mutagenesis and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ian Weeks's work include Air Quality and Health Impacts (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and bioluminescence and chemiluminescence research (8 papers). Ian Weeks is often cited by papers focused on Air Quality and Health Impacts (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and bioluminescence and chemiluminescence research (8 papers). Ian Weeks collaborates with scholars based in United Kingdom, Australia and United States. Ian Weeks's co-authors include J S Woodhead, J. Stuart Woodhead, Anthony K. Campbell, Richard C. D. Brown, I. E. Galbally, Jacqueline Aston, I Beheshti, Frank McCapra, Keith Smith and Bronwyn L. Duffy and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Ian Weeks

91 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ian Weeks 713 341 263 221 211 91 2.2k
Nobuyuki Sato 815 1.1× 172 0.5× 386 1.5× 104 0.5× 131 0.6× 198 3.3k
James A. Campbell 724 1.0× 291 0.9× 431 1.6× 63 0.3× 32 0.2× 167 3.3k
Michael L. McCormick 1.6k 2.3× 280 0.8× 168 0.6× 57 0.3× 62 0.3× 83 4.7k
Furong Li 736 1.0× 152 0.4× 78 0.3× 202 0.9× 78 0.4× 133 2.0k
Fei Zheng 1.0k 1.5× 282 0.8× 286 1.1× 48 0.2× 58 0.3× 141 2.8k
Fang Yu 772 1.1× 456 1.3× 223 0.8× 127 0.6× 28 0.1× 193 3.3k
Hongjin Chen 653 0.9× 150 0.4× 67 0.3× 202 0.9× 42 0.2× 180 2.8k
Yixuan Zhang 1.6k 2.2× 205 0.6× 120 0.5× 65 0.3× 30 0.1× 169 3.8k
Yanna Liu 795 1.1× 294 0.9× 298 1.1× 135 0.6× 20 0.1× 170 3.0k
Yan Ding 1.6k 2.3× 69 0.2× 157 0.6× 168 0.8× 356 1.7× 124 3.5k

Countries citing papers authored by Ian Weeks

Since Specialization
Citations

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

Fields of papers citing papers by Ian Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Weeks

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Weeks. A scholar is included among the top collaborators of Ian Weeks 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 Weeks. Ian Weeks 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.
Bullock, Nicholas, et al.. (2023). Perception of urinary biomarker tests among patients referred with suspected urological malignancy. SHILAP Revista de lepidopterología. 4(4). 446–454. 2 indexed citations
2.
Gadalla, Amal, Ida M. Friberg, Ann Kift‐Morgan, et al.. (2019). Identification of clinical and urine biomarkers for uncomplicated urinary tract infection using machine learning algorithms. Scientific Reports. 9(1). 19694–19694. 52 indexed citations
3.
Cuff, Simone, et al.. (2018). An improved cell-permeable fluorogenic substrate as the basis for a highly sensitive test for NAD(P)H quinone oxidoreductase 1 (NQO1) in living cells. Free Radical Biology and Medicine. 116. 141–148. 15 indexed citations
4.
Zhang, Jingjing, Ida M. Friberg, Ann Kift‐Morgan, et al.. (2017). Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections. Kidney International. 92(1). 179–191. 53 indexed citations
5.
Galbally, I. E., Robert Gillett, Jennifer Powell, et al.. (2009). Household wood heater usage and indoor leakage of BTEX in Launceston, Australia: A null result. Atmospheric Environment. 43(17). 2788–2795. 11 indexed citations
6.
Moore, D F, et al.. (2008). Investigation of transcription-mediated amplification as a rapid test method for Enterococci in recreational water. Journal of Environmental Monitoring. 10(9). 1064–1064. 2 indexed citations
7.
Brown, Richard C. D., et al.. (2008). Development and application of a novel acridinium ester for use as a chemiluminescent emitter in nucleic acid hybridisation assays using chemiluminescence quenching. Organic & Biomolecular Chemistry. 7(2). 386–394. 38 indexed citations
8.
Gras, J. L., C. P. Meyer, Ian Weeks, et al.. (2002). Technical Report No. 5: Emissions from Domestic Solid Fuel Burning Appliances (Wood-Heaters, Open Fireplaces). eCite Digital Repository (University of Tasmania). 4 indexed citations
9.
10.
Aston, Jacqueline, et al.. (1997). Water Immiscible Solvent Based Immunoassay. Journal of Immunoassay. 18(3). 235–246. 4 indexed citations
11.
Turner, G. A., et al.. (1993). Urinary Growth Hormone Excretion as Measured by a Sensitive Immunochemiluminometric Assay. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 30(2). 180–185. 7 indexed citations
12.
Brown, Richard C. D., et al.. (1992). Preparation of a chemiluminescent imidoester for the non-radioactive labelling of proteins. Journal of Photochemistry and Photobiology B Biology. 12(2). 193–201. 6 indexed citations
13.
Page, M. D., et al.. (1992). Immunochemiluminometric assays (ICMA) specific for growth hormone releasing hormone 1–44 NH2 and 1–40 OH. Clinica Chimica Acta. 210(3). 167–178. 5 indexed citations
14.
Woodhead, J S & Ian Weeks. (1989). Magic lite design and development. Journal of Bioluminescence and Chemiluminescence. 4(1). 611–614. 22 indexed citations
15.
Fernández, José Luis García, et al.. (1989). Chemiluminescent immunoassay (CLIA) for urinary albumin. Journal of Bioluminescence and Chemiluminescence. 3(4). 169–174. 6 indexed citations
16.
Fernández, José Luis García, et al.. (1988). Effect of surfactants on the intensity of chemiluminescence emission from acridinium ester labelled proteins. Journal of Bioluminescence and Chemiluminescence. 2(3). 121–128. 19 indexed citations
17.
John, Andrew St, Charmian P. Davies, William Riley, et al.. (1988). Comparison of the performance and clinical utility of a carboxy-terminal assay and an intact assay for parathyroid hormone. Clinica Chimica Acta. 178(2). 215–223. 25 indexed citations
18.
Evans, Peter J., J S Woodhead, Ian Weeks, & MF Scanlon. (1987). CIRCULATING TSH LEVELS MEASURED WITH AN IMMUNOCHEMILUMINOMETRIC ASSAY IN PATIENTS TAKING DRUGS INTERFERING WITH BIOCHEMICAL THYROID STATUS. Clinical Endocrinology. 26(6). 717–721. 10 indexed citations
19.
Weeks, Ian, et al.. (1987). AN IMMUNOCHEMILUMINOMETRIC ASSAY FOR SERUM FREE THYROXINE. Clinical Endocrinology. 27(3). 383–393. 12 indexed citations
20.
Weeks, Ian, et al.. (1986). [31] Immunoassays using acridinium esters. Methods in enzymology on CD-ROM/Methods in enzymology. 133. 366–387. 61 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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