W.A. Day

1.2k total citations
38 papers, 899 citations indexed

About

W.A. Day is a scholar working on Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, W.A. Day has authored 38 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in W.A. Day's work include Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (2 papers) and Diet and metabolism studies (2 papers). W.A. Day is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (2 papers) and Diet and metabolism studies (2 papers). W.A. Day collaborates with scholars based in New Zealand, United States and United Kingdom. W.A. Day's co-authors include R. Fraser, A. R. McGiven, Robin Fraser, A. D. Blest, AG Bosanquet, J.S. Hunt, D.S. Gilbert, Kyoko Koishi, Robert Peach and Ian S. McLennan and has published in prestigious journals such as PLoS ONE, The Journal of Organic Chemistry and Experimental Neurology.

In The Last Decade

W.A. Day

38 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W.A. Day New Zealand 18 250 147 127 114 102 38 899
Andreas Gocht Germany 18 556 2.2× 159 1.1× 116 0.9× 251 2.2× 124 1.2× 47 1.4k
Wil T. Labruyère Netherlands 16 353 1.4× 64 0.4× 71 0.6× 117 1.0× 34 0.3× 24 757
T Saibara Japan 16 239 1.0× 276 1.9× 199 1.6× 85 0.7× 40 0.4× 34 1.0k
Katharina Schmidt Germany 17 520 2.1× 171 1.2× 94 0.7× 138 1.2× 39 0.4× 39 1.1k
S. Barni Italy 18 264 1.1× 50 0.3× 42 0.3× 80 0.7× 39 0.4× 81 888
Geraldine M. Grant United States 14 299 1.2× 119 0.8× 33 0.3× 59 0.5× 36 0.4× 22 870
Béatrice Conne Switzerland 20 921 3.7× 201 1.4× 162 1.3× 128 1.1× 92 0.9× 30 1.9k
Miguel Alejandro Lopez‐Ramirez United States 21 642 2.6× 162 1.1× 123 1.0× 42 0.4× 114 1.1× 35 1.6k
Nieves Ibarrola Spain 18 595 2.4× 101 0.7× 46 0.4× 30 0.3× 68 0.7× 33 1.2k
Stefanie Oess Germany 16 485 1.9× 115 0.8× 60 0.5× 48 0.4× 121 1.2× 32 1.1k

Countries citing papers authored by W.A. Day

Since Specialization
Citations

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

Fields of papers citing papers by W.A. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W.A. Day

This figure shows the co-authorship network connecting the top 25 collaborators of W.A. Day. A scholar is included among the top collaborators of W.A. Day 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 W.A. Day. W.A. Day 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.
Bredno, Joerg, et al.. (2018). Validation of multiplex immunohistochemistry assays using automated image analysis. 18–18. 1 indexed citations
2.
Chung, Amanda G., Jennifer B. Frye, Eleni Constantopoulos, et al.. (2018). Liquefaction of the Brain following Stroke Shares a Similar Molecular and Morphological Profile with Atherosclerosis and Mediates Secondary Neurodegeneration in an Osteopontin-Dependent Mechanism. eNeuro. 5(5). ENEURO.0076–18.2018. 34 indexed citations
3.
Vijayakumar, Srinivasan, Xu Zhang, Wanmei Wang, et al.. (2017). Enriching gene expression profiles will help personalize prostate cancer management for African-Americans: A perspective. Urologic Oncology Seminars and Original Investigations. 35(6). 315–321. 7 indexed citations
4.
Zhang, Wenjun, Tobin Jones, Srabani Bhaumik, et al.. (2017). Fully automated 5-plex fluorescent immunohistochemistry with tyramide signal amplification and same species antibodies. Laboratory Investigation. 97(7). 873–885. 76 indexed citations
5.
Rimsza, Lisa M., W.A. Day, Yasodha Natkunam, et al.. (2014). Kappa and lambda light chain mRNA in situ hybridization compared to flow cytometry and immunohistochemistry in B cell lymphomas. Diagnostic Pathology. 9(1). 144–144. 16 indexed citations
6.
Zhou, Guoli, Jun Isoe, W.A. Day, & Roger L. Miesfeld. (2011). Alpha-COPI Coatomer Protein Is Required for Rough Endoplasmic Reticulum Whorl Formation in Mosquito Midgut Epithelial Cells. PLoS ONE. 6(3). e18150–e18150. 14 indexed citations
7.
Day, W.A., et al.. (2005). Transforming growth factor-beta 2 causes an acute improvement in the motor performance of transgenic ALS mice. Neurobiology of Disease. 19(1-2). 323–330. 25 indexed citations
8.
Smithies, Derek J., et al.. (1995). The effect of the illumination time when treating port-wine stains. Lasers in Medical Science. 10(2). 93–104. 10 indexed citations
9.
Butler, Philip H., et al.. (1989). Histology of port wine stains after copper vapour laser treatment. British Journal of Dermatology. 121(2). 217–223. 47 indexed citations
10.
Fraser, R., et al.. (1988). Nicotine decreases the porosity of the rat liver sieve: a possible mechanism for hypercholesterolaemia.. PubMed. 69(3). 345–50. 21 indexed citations
11.
Peach, Robert, et al.. (1988). Ultrastructural localization of Tamm—Horsfall protein in human kidney using immunogold electron microscopy. The Histochemical Journal. 20(3). 156–164. 49 indexed citations
12.
Wright, Peter L., Kathryn F. Smith, W.A. Day, & Robin Fraser. (1983). Hepatic sinusoidal endothelium in sheep: An ultrastructural reinvestigation. The Anatomical Record. 206(4). 385–390. 14 indexed citations
13.
Hunt, J.S., Anne Jackson, W.A. Day, & A. R. McGiven. (1981). Mouse glomerular culture.. PubMed Central. 62(1). 52–8. 6 indexed citations
14.
Fraser, Robin, et al.. (1980). Damage of rat liver sinusoidal endothelium by ethanol. Pathology. 12(3). 371–376. 46 indexed citations
15.
Blest, A. D. & W.A. Day. (1978). The Rhabdomere organization of some nocturnal pisaurid spiders in light and darkness. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 283(993). 1–23. 56 indexed citations
16.
McGiven, A. R., et al.. (1978). Tamm-Horsfall protein in the glomerular capsular space.. Journal of Clinical Pathology. 31(7). 620–625. 15 indexed citations
17.
McGiven, A. R., W.A. Day, & J.S. Hunt. (1977). Glomerular lesions in argyric NZB/NZW mice.. PubMed. 58(1). 57–62. 3 indexed citations
18.
Day, W.A.. (1977). Solubilization of neurofilaments from central nervous system myelinated nerve. Journal of Ultrastructure Research. 60(3). 362–372. 14 indexed citations
19.
Archer, Robert A., W.A. Day, Douglas Johnson, et al.. (1977). Cannabinoids. 3. Synthetic approaches to 9-ketocannabinoids. Total synthesis of nabilone. The Journal of Organic Chemistry. 42(13). 2277–2284. 60 indexed citations
20.
Hunt, J.S., A. R. McGiven, & W.A. Day. (1976). Immune complex glomerular disease in argyric mice. Pathology. 8(3). 205–210. 15 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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