Michael Clay

734 total citations
9 papers, 587 citations indexed

About

Michael Clay is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Michael Clay has authored 9 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Immunology. Recurrent topics in Michael Clay's work include Organ Transplantation Techniques and Outcomes (3 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Organ Donation and Transplantation (2 papers). Michael Clay is often cited by papers focused on Organ Transplantation Techniques and Outcomes (3 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Organ Donation and Transplantation (2 papers). Michael Clay collaborates with scholars based in United Kingdom, Australia and United States. Michael Clay's co-authors include Jeremy Hughes, David A. Ferenbach, David Kluth, Tiina Kipari, Katie J. Mylonas, Alicja Czopek, Anthony R. Soames, Lewis L. Smith, I. Wyatt and Jean‐François Cailhier and has published in prestigious journals such as The Journal of Cell Biology, The Journal of Immunology and Biochemical Pharmacology.

In The Last Decade

Michael Clay

9 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Clay United Kingdom 9 231 135 125 120 66 9 587
M Rossini Italy 9 86 0.4× 78 0.6× 103 0.8× 47 0.4× 104 1.6× 14 499
Kathryn M. Spitler United States 15 152 0.7× 285 2.1× 69 0.6× 98 0.8× 19 0.3× 18 749
Barbara Dietrich Austria 12 210 0.9× 71 0.5× 30 0.2× 74 0.6× 60 0.9× 24 572
Yuko Miwa Japan 15 133 0.6× 172 1.3× 318 2.5× 14 0.1× 65 1.0× 36 701
C. Seifarth Germany 11 178 0.8× 174 1.3× 232 1.9× 334 2.8× 20 0.3× 15 766
Edyta Zbroch Poland 15 55 0.2× 349 2.6× 80 0.6× 40 0.3× 176 2.7× 46 606
Sayaka Arakawa Japan 11 96 0.4× 183 1.4× 70 0.6× 77 0.6× 148 2.2× 36 731
Yong-chao Qiao China 11 110 0.5× 109 0.8× 111 0.9× 167 1.4× 39 0.6× 18 543
Sylvia Müller-Scholze Germany 12 361 1.6× 196 1.5× 95 0.8× 125 1.0× 10 0.2× 12 929
Kentaro Kadono United States 13 115 0.5× 243 1.8× 241 1.9× 20 0.2× 16 0.2× 29 629

Countries citing papers authored by Michael Clay

Since Specialization
Citations

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

Fields of papers citing papers by Michael Clay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Clay

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

All Works

9 of 9 papers shown
1.
Czopek, Alicja, et al.. (2014). Renal Ischaemia Reperfusion Injury: A Mouse Model of Injury and Regeneration. Journal of Visualized Experiments. 94 indexed citations
2.
Tse, George, et al.. (2014). Mouse Kidney Transplantation: Models of Allograft Rejection. Journal of Visualized Experiments. e52163–e52163. 12 indexed citations
3.
Czopek, Alicja, et al.. (2014). Renal Ischaemia Reperfusion Injury: A Mouse Model of Injury and Regeneration. Journal of Visualized Experiments. 16 indexed citations
4.
Turner, Emily C., Jeremy Hughes, Helen Wilson, et al.. (2011). Conditional ablation of macrophages disrupts ovarian vasculature. Reproduction. 141(6). 821–831. 90 indexed citations
5.
Ferenbach, David A., David G. Vass, Katie J. Mylonas, et al.. (2008). Depletion of Cells of Monocyte Lineage Prevents Loss of Renal Microvasculature in Murine Kidney Transplantation. Transplantation. 86(9). 1267–1274. 59 indexed citations
6.
Gilmour, James S., Agnes E. Coutinho, Jean‐François Cailhier, et al.. (2006). Local Amplification of Glucocorticoids by 11β-Hydroxysteroid Dehydrogenase Type 1 Promotes Macrophage Phagocytosis of Apoptotic Leukocytes. The Journal of Immunology. 176(12). 7605–7611. 119 indexed citations
7.
Devitt, Andrew, Kate Parker, Carol Anne Ogden, et al.. (2004). Persistence of apoptotic cells without autoimmune disease or inflammation in CD14−/− mice. The Journal of Cell Biology. 167(6). 1161–1170. 106 indexed citations
8.
Clay, Michael. (2001). Time sequence of the inhibition of endothelial adhesion molecule expression by reconstituted high density lipoproteins. Atherosclerosis. 157(1). 23–29. 40 indexed citations
9.
Wyatt, I., Anthony R. Soames, Michael Clay, & Lewis L. Smith. (1988). The accumulation and localisation of putrescine, spermidine, spermine and paraquat in the rat lung. Biochemical Pharmacology. 37(10). 1909–1918. 51 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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