Ryan B. MacDonald

1.8k total citations
55 papers, 1.2k citations indexed

About

Ryan B. MacDonald is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Ryan B. MacDonald has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Cell Biology and 11 papers in Surgery. Recurrent topics in Ryan B. MacDonald's work include Zebrafish Biomedical Research Applications (12 papers), Retinal Development and Disorders (11 papers) and Anesthesia and Pain Management (10 papers). Ryan B. MacDonald is often cited by papers focused on Zebrafish Biomedical Research Applications (12 papers), Retinal Development and Disorders (11 papers) and Anesthesia and Pain Management (10 papers). Ryan B. MacDonald collaborates with scholars based in United Kingdom, United States and Canada. Ryan B. MacDonald's co-authors include G. Lyons, Elisabeth Kugler, William A. Harris, John A. Greenwood, Marc Ekker, Stefan Thor, Takeshi Yoshimatsu, Owen Randlett, Mélanie Debiais‐Thibaud and Daniel Karlsson and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ryan B. MacDonald

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan B. MacDonald United Kingdom 21 543 265 255 212 162 55 1.2k
Donald J. Joseph United States 16 293 0.5× 41 0.2× 319 1.3× 103 0.5× 37 0.2× 33 996
Atsushi Sawada Japan 17 1.3k 2.4× 142 0.5× 118 0.5× 559 2.6× 44 0.3× 40 1.9k
Yoichiro Abe Japan 23 784 1.4× 95 0.4× 422 1.7× 140 0.7× 63 0.4× 69 1.8k
Agathe Roubertie France 28 769 1.4× 75 0.3× 618 2.4× 230 1.1× 51 0.3× 114 2.1k
David B. Kantor United States 13 515 0.9× 110 0.4× 678 2.7× 281 1.3× 43 0.3× 22 1.3k
Motonori Ando Japan 19 646 1.2× 97 0.4× 132 0.5× 58 0.3× 411 2.5× 49 1.4k
Vı́ctor M. Arce Spain 23 783 1.4× 192 0.7× 142 0.6× 160 0.8× 116 0.7× 76 1.9k
Marshall L. Rennels United States 16 273 0.5× 151 0.6× 601 2.4× 97 0.5× 102 0.6× 21 1.4k
C Owman Sweden 20 337 0.6× 123 0.5× 606 2.4× 35 0.2× 51 0.3× 34 1.3k

Countries citing papers authored by Ryan B. MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Ryan B. MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan B. MacDonald. 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 Ryan B. MacDonald. The network helps show where Ryan B. MacDonald may publish in the future.

Co-authorship network of co-authors of Ryan B. MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan B. MacDonald. A scholar is included among the top collaborators of Ryan B. MacDonald 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 Ryan B. MacDonald. Ryan B. MacDonald 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.
Keatinge, Marcus, Oliver Pearce, Petteri Piepponen, et al.. (2025). A zebrafish model of acmsd deficiency does not support a prominent role for ACMSD in Parkinson’s disease. npj Parkinson s Disease. 11(1). 118–118. 2 indexed citations
2.
Noel, Nicole C. L., Chi‐Kuo Hu, Lut Arckens, et al.. (2024). Age‐related dysregulation of the retinal transcriptome in African turquoise killifish. Aging Cell. 23(8). e14192–e14192. 5 indexed citations
3.
Tsarouchas, Themistoklis M., Catherina G. Becker, Thomas Becker, et al.. (2024). C9ORF72 Deficiency Results in Neurodegeneration in the Zebrafish Retina. Journal of Neuroscience. 44(25). e2128232024–e2128232024. 1 indexed citations
4.
Papanastasiou, Andrew S., et al.. (2023). Unique activities of two overlappingPAX6retinal enhancers. Life Science Alliance. 6(11). e202302126–e202302126. 5 indexed citations
5.
Kugler, Elisabeth, et al.. (2023). GliaMorph: a modular image analysis toolkit to quantify Müller glial cell morphology. Development. 150(3). 4 indexed citations
6.
Kugler, Elisabeth, et al.. (2023). Glia Cell Morphology Analysis Using the Fiji GliaMorph Toolkit. Current Protocols. 3(1). e654–e654. 5 indexed citations
7.
Tracey‐White, Dhani, et al.. (2022). Müller Glia maintain their regenerative potential despite degeneration in the aged zebrafish retina. Aging Cell. 21(4). e13597–e13597. 18 indexed citations
8.
Gray, Caroline, Ryan B. MacDonald, Zhen Jiang, et al.. (2019). Sodium nitroprusside prevents the detrimental effects of glucose on the neurovascular unit and behaviour in zebrafish. Disease Models & Mechanisms. 12(9). 6 indexed citations
9.
Savage, Aaron M., Zhen Jiang, Ryan B. MacDonald, et al.. (2019). tmem33 is essential for VEGF-mediated endothelial calcium oscillations and angiogenesis. Nature Communications. 10(1). 732–732. 72 indexed citations
10.
MacDonald, Ryan B., et al.. (2019). Resident Immunity in Tissue Repair and Maintenance: The Zebrafish Model Coming of Age. Frontiers in Cell and Developmental Biology. 7. 12–12. 26 indexed citations
11.
MacDonald, Ryan B., Nachiket D. Kashikar, Leon Lagnado, & William A. Harris. (2016). A Novel Tool to Measure Extracellular Glutamate in the Zebrafish Nervous System In Vivo. Zebrafish. 14(3). 284–286. 12 indexed citations
12.
Baumgardt, Magnus, et al.. (2014). Global Programmed Switch in Neural Daughter Cell Proliferation Mode Triggered by a Temporal Gene Cascade. Developmental Cell. 30(2). 192–208. 57 indexed citations
13.
Boije, Henrik, Ryan B. MacDonald, & William A. Harris. (2014). Reconciling competence and transcriptional hierarchies with stochasticity in retinal lineages. Current Opinion in Neurobiology. 27. 68–74. 34 indexed citations
14.
MacDonald, Ryan B., et al.. (2013). The ascl1a and dlx genes have a regulatory role in the development of GABAergic interneurons in the zebrafish diencephalon. Developmental Biology. 381(1). 276–285. 23 indexed citations
15.
Taylor, Richard E. & Ryan B. MacDonald. (2000). Education and Training of Senior House Officers in Clinical Oncology Departments. Clinical Oncology. 12(1). 42–47. 1 indexed citations
16.
MacDonald, Ryan B., et al.. (1998). SHO training in anaesthetics. How good is it?. Anaesthesia. 53(1). 86–88. 2 indexed citations
17.
MacDonald, Ryan B., et al.. (1997). Training in the senior house officer grade: how good is it?. PubMed. 57(11). 565–8. 6 indexed citations
18.
Lyons, G., et al.. (1992). Combined epidural/spinal anaesthesia for Caesarean section. Anaesthesia. 47(3). 199–201. 52 indexed citations
19.
Hopkins, Philip M., Ryan B. MacDonald, & G. Lyons. (1989). CAESAREAN SECTION AT 27 WEEKS GESTATION WITH REMOVAL OF PHAEOCHROMOCYTOMA. British Journal of Anaesthesia. 63(1). 121–124. 9 indexed citations
20.
MacDonald, Ryan B., et al.. (1989). Obstetric anaesthetic workload in a teaching unit. Anaesthesia. 44(3). 252–253. 1 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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