Michael J. Parsons

3.0k total citations
36 papers, 2.2k citations indexed

About

Michael J. Parsons is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Michael J. Parsons has authored 36 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 15 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Michael J. Parsons's work include Pancreatic function and diabetes (14 papers), Congenital heart defects research (8 papers) and Zebrafish Biomedical Research Applications (8 papers). Michael J. Parsons is often cited by papers focused on Pancreatic function and diabetes (14 papers), Congenital heart defects research (8 papers) and Zebrafish Biomedical Research Applications (8 papers). Michael J. Parsons collaborates with scholars based in United States, United Kingdom and Canada. Michael J. Parsons's co-authors include Steven D. Leach, Jerry M. Rhee, Harshan Pisharath, Shamila Yusuff, Mary Goll, Marnie E. Halpern, Meritxell Rovira, Nathan D. Lawson, Arndt F. Siekmann and John C. Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Michael J. Parsons

36 papers receiving 2.2k citations

Peers

Michael J. Parsons

SURGE

GENET

IMMUN

Jerry M. Rhee United States

Véronique Pingault France

James Lister United Kingdom

Nadège Bondurand France

Phillip Karpowicz Canada

Takaya Oda Japan

Iain W. McKinnell United Kingdom

Hans‐Martin Maischein Germany

Kay E. Davies United Kingdom

Bert van der Zwaag Netherlands

Jerry M. Rhee United States

Michael J. Parsons

1.1k ×0.9

691 ×0.7

190 ×0.3

SURGE

244 ×0.6

GENET

148 ×0.8

IMMUN

Citations per year, relative to Michael J. Parsons Michael J. Parsons (= 1×) peers Jerry M. Rhee

Countries citing papers authored by Michael J. Parsons

Since Specialization

Citations

This map shows the geographic impact of Michael J. Parsons'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. Parsons 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. Parsons more than expected).

Fields of papers citing papers by Michael J. Parsons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Greenwood, John A. & Michael J. Parsons. (2020). Dissociable effects of visual crowding on the perception of color and motion. Proceedings of the National Academy of Sciences. 117(14). 8196–8202. 25 indexed citations

Parsons, Michael J., Jason H. Greenberg, Chirag R. Parikh, et al.. (2020). Post-operative acute kidney injury is associated with a biomarker of acute brain injury after paediatric cardiac surgery. Cardiology in the Young. 30(4). 505–510. 2 indexed citations

Greenberg, Jason H., Michael J. Parsons, Michael Zappitelli, et al.. (2020). Cardiac Biomarkers for Risk Stratification of Acute Kidney Injury After Pediatric Cardiac Surgery. The Annals of Thoracic Surgery. 111(1). 191–198. 13 indexed citations

Parsons, Michael J. & R A Thompson. (2019). EARLY LEFT VENTRICULAR DILATION IS ASSOCIATED WITH LOWER SUBSEQUENT EJECTION FRACTION IN DUCHENNE MUSCULAR DYSTROPHY. Journal of the American College of Cardiology. 73(9). 981–981. 1 indexed citations

Zhang, Danhua, Keith P. Gates, Lindsey Barske, et al.. (2017). Endoderm Jagged induces liver and pancreas duct lineage in zebrafish. Nature Communications. 8(1). 769–769. 26 indexed citations

Beer, Rebecca, Michael J. Parsons, & Meritxell Rovira. (2016). Centroacinar cells: At the center of pancreas regeneration. Developmental Biology. 413(1). 8–15. 46 indexed citations

Huang, Wei, Rebecca Beer, Fabien Delaspre, et al.. (2016). Sox9b is a mediator of retinoic acid signaling restricting endocrine progenitor differentiation. Developmental Biology. 418(1). 28–39. 11 indexed citations

Fischer, Audrey, et al.. (2015). Carbamate nerve agent prophylatics exhibit distinct toxicological effects in the zebrafish embryo model. Neurotoxicology and Teratology. 50. 1–10. 12 indexed citations

Huang, Wei, Guangliang Wang, Fabien Delaspre, et al.. (2014). Retinoic acid plays an evolutionarily conserved and biphasic role in pancreas development. Developmental Biology. 394(1). 83–93. 28 indexed citations

10.

Matsuda, Hiroki, Michael J. Parsons, & Steven D. Leach. (2013). Aldh1-Expressing Endocrine Progenitor Cells Regulate Secondary Islet Formation in Larval Zebrafish Pancreas. PLoS ONE. 8(9). e74350–e74350. 24 indexed citations

11.

Manfroid, Isabelle, Luyuan Pan, P. Taylur, et al.. (2012). Zebrafish sox9b is crucial for hepatopancreatic duct development and pancreatic endocrine cell regeneration. Developmental Biology. 366(2). 268–278. 64 indexed citations

12.

Kague, Érika, et al.. (2012). Skeletogenic Fate of Zebrafish Cranial and Trunk Neural Crest. PLoS ONE. 7(11). e47394–e47394. 161 indexed citations

13.

Kani, Shuichi, Young‐Ki Bae, Takashi Shimizu, et al.. (2010). Proneural gene-linked neurogenesis in zebrafish cerebellum. Developmental Biology. 343(1-2). 1–17. 105 indexed citations

14.

Williams, Philip R., Sachihiro C. Suzuki, Takeshi Yoshimatsu, et al.. (2010). In Vivo Development of Outer Retinal Synapses in the Absence of Glial Contact. Journal of Neuroscience. 30(36). 11951–11961. 43 indexed citations

15.

Parsons, Michael J., Shamila Yusuff, & Steven D. Leach. (2009). 09-P028 Notch-responsive progenitors initiate the secondary transition in larval zebrafish pancreas. Mechanisms of Development. 126. S158–S159. 1 indexed citations

16.

Parsons, Michael J., Harshan Pisharath, Shamila Yusuff, et al.. (2009). Notch-responsive cells initiate the secondary transition in larval zebrafish pancreas. Mechanisms of Development. 126(10). 898–912. 280 indexed citations

17.

Halpern, Marnie E., et al.. (2008). Gal4/UAS Transgenic Tools and Their Application to Zebrafish. Zebrafish. 5(2). 97–110. 157 indexed citations

18.

Davison, Jon M., Mary Goll, Jerry M. Rhee, et al.. (2007). Transactivation from Gal4-VP16 transgenic insertions for tissue-specific cell labeling and ablation in zebrafish. Developmental Biology. 304(2). 811–824. 312 indexed citations

19.

Pisharath, Harshan, et al.. (2006). Targeted ablation of beta cells in the embryonic zebrafish pancreas using E. coli nitroreductase. Mechanisms of Development. 124(3). 218–229. 298 indexed citations

20.

Parsons, Michael J., et al.. (2001). Expression of Active Protein Kinase B in T Cells Perturbs Both T and B Cell Homeostasis and Promotes Inflammation. The Journal of Immunology. 167(1). 42–48. 68 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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