Michael J. Casey

1.7k total citations · 1 hit paper
60 papers, 1.2k citations indexed

About

Michael J. Casey is a scholar working on Transplantation, Public Health, Environmental and Occupational Health and Ocean Engineering. According to data from OpenAlex, Michael J. Casey has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Transplantation, 12 papers in Public Health, Environmental and Occupational Health and 8 papers in Ocean Engineering. Recurrent topics in Michael J. Casey's work include Renal Transplantation Outcomes and Treatments (19 papers), Organ Donation and Transplantation (8 papers) and Maritime Navigation and Safety (8 papers). Michael J. Casey is often cited by papers focused on Renal Transplantation Outcomes and Treatments (19 papers), Organ Donation and Transplantation (8 papers) and Maritime Navigation and Safety (8 papers). Michael J. Casey collaborates with scholars based in United States, Canada and United Kingdom. Michael J. Casey's co-authors include Mark Peifer, Eric Wieschaus, Herwig‐Ulf Meier‐Kriesche, Xuerong Wen, Karl L. Womer, Bryan E Bledsoe, Larry Johnson, Liise K. Kayler, Patrick S. Stumpf and Ben D. MacArthur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Development and Journal of the American Society of Nephrology.

In The Last Decade

Michael J. Casey

53 papers receiving 1.1k citations

Hit Papers

wingless signal and Zeste-white 3 kinase trigger opposing... 1994 2026 2004 2015 1994 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Casey United States 15 622 198 173 127 122 60 1.2k
Birte Steiniger Germany 26 289 0.5× 127 0.6× 40 0.2× 405 3.2× 74 0.6× 78 1.7k
M Yamashita United States 26 700 1.1× 39 0.2× 58 0.3× 243 1.9× 98 0.8× 94 2.5k
Xiaoming Jia United States 13 798 1.3× 31 0.2× 28 0.2× 115 0.9× 59 0.5× 28 2.4k
Xiaohu Wang China 17 219 0.4× 63 0.3× 22 0.1× 265 2.1× 82 0.7× 66 1.1k
Shiro Kōzuma Japan 29 361 0.6× 27 0.1× 59 0.3× 293 2.3× 504 4.1× 112 2.5k
Amanda Fernández‐Rodríguez Spain 18 335 0.5× 34 0.2× 20 0.1× 75 0.6× 72 0.6× 99 1.3k
Miki Sato Japan 22 289 0.5× 29 0.1× 26 0.2× 256 2.0× 100 0.8× 112 1.7k
Ye Cui China 18 261 0.4× 10 0.1× 51 0.3× 166 1.3× 29 0.2× 67 1.3k
Gretta H. Jacobs United States 23 176 0.3× 8 0.0× 32 0.2× 211 1.7× 154 1.3× 47 1.2k

Countries citing papers authored by Michael J. Casey

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Casey

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Casey. A scholar is included among the top collaborators of Michael J. Casey 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 J. Casey. Michael J. Casey 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.
Daoud, Ahmed, et al.. (2024). COVID-19 and renal allograft rejection: insight from controlled and non-controlled studies. Renal Failure. 46(1). 2336126–2336126. 2 indexed citations
2.
Casey, Michael J., Jörg Fliege, Rubén J. Sánchez-García, & Ben D. MacArthur. (2023). An information-theoretic approach to single cell sequencing analysis. BMC Bioinformatics. 24(1). 311–311. 3 indexed citations
3.
Mohamed, Mahmoud, Ahmed Daoud, Syed A. Quadri, et al.. (2021). Hypertension and obesity in living kidney donors. World Journal of Transplantation. 11(6). 180–186. 3 indexed citations
4.
Casey, Michael J., et al.. (2021). Estimating cellular redundancy in networks of genetic expression. Mathematical Biosciences. 341. 108713–108713. 3 indexed citations
5.
Murray, Gemma G. R., Jane Charlesworth, E. L. Miller, et al.. (2020). Genome Reduction Is Associated with Bacterial Pathogenicity across Different Scales of Temporal and Ecological Divergence. Molecular Biology and Evolution. 38(4). 1570–1579. 45 indexed citations
6.
Soliman, Karim, et al.. (2020). De Novo Thrombotic Microangiopathy Associated with Cytomegalovirus Infection and Alloreactivity: A Fork in the Road of Immunomodulation. Journal of the American Society of Nephrology. 31(10S). 854–854.
7.
Casey, Michael J., et al.. (2016). Comparison of Utilization and Clinical Outcomes for Belatacept- and Tacrolimus-Based Immunosuppression in Renal Transplant Recipients. American Journal of Transplantation. 16(11). 3202–3211. 25 indexed citations
8.
Casey, Michael J., et al.. (2016). Association of Baseline Viral Serology and Sirolimus Regimens With Kidney Transplant Outcomes. Transplantation. 101(2). 377–386. 12 indexed citations
9.
Casey, Michael J., et al.. (2015). Contours and Contouring in Hydrography - Part 1 : The Fundamental Issues. The International Hydrographic Review. 62(2).
10.
Casey, Michael J., Xuerong Wen, Ivan Zendejas, et al.. (2015). Survival With Dialysis Versus Kidney Transplantation in Adult Hemolytic Uremic Syndrome Patients. Transplantation. 99(12). 2608–2616. 7 indexed citations
11.
Casey, Michael J., Xuerong Wen, Liise K. Kayler, et al.. (2014). Prolonged Immunosuppression Preserves Nonsensitization Status After Kidney Transplant Failure. Transplantation. 98(3). 306–311. 41 indexed citations
12.
Gupte, Asmita, Susan N. Hocevar, Roshni Kulkarni, et al.. (2014). Transmission of Balamuthia mandrillaris Through Solid Organ Transplantation: Utility of Organ Recipient Serology to Guide Clinical Management. American Journal of Transplantation. 14(6). 1417–1424. 24 indexed citations
13.
Casey, Michael J. & Herwig‐Ulf Meier‐Kriesche. (2011). Calcineurin inhibitors in kidney transplantation. Current Opinion in Nephrology & Hypertension. 20(6). 610–615. 39 indexed citations
14.
Casey, Michael J., Kenneth L. Cohen, & David K. Wallace. (2002). Recurrence of iris stromal cyst following aspiration and resection. Journal of American Association for Pediatric Ophthalmology and Strabismus. 6(4). 255–256. 7 indexed citations
15.
Casey, Michael J., et al.. (1998). A Review of the Relationship of the ENC and DNC Hydrographic Vector Data Products. The International Hydrographic Review. 75(2).
16.
Peifer, Mark, et al.. (1994). Phosphorylation of the Drosophila Adherens Junction Protein Armadillo: Roles for Wingless Signal and Zeste-white 3 Kinase. Developmental Biology. 166(2). 543–556. 206 indexed citations
18.
Lachapelle, Gérard, et al.. (1992). GPS for Marine Navigation and Hydrography. The International Hydrographic Review. 69(1). 4 indexed citations
19.
Casey, Michael J., et al.. (1987). Airborne Hydrographic Surveying in the Canadian Arctic. The International Hydrographic Review. 64(1). 1 indexed citations
20.
Casey, Michael J., et al.. (1986). Contours and Contouring in Hydrography Part II - Interpolation. The International Hydrographic Review. 63(1).

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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