Robert E. MacLaren

18.6k total citations · 3 hit papers
384 papers, 11.6k citations indexed

About

Robert E. MacLaren is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Robert E. MacLaren has authored 384 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 295 papers in Molecular Biology, 205 papers in Ophthalmology and 87 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Robert E. MacLaren's work include Retinal Development and Disorders (266 papers), Retinal Diseases and Treatments (166 papers) and CRISPR and Genetic Engineering (56 papers). Robert E. MacLaren is often cited by papers focused on Retinal Development and Disorders (266 papers), Retinal Diseases and Treatments (166 papers) and CRISPR and Genetic Engineering (56 papers). Robert E. MacLaren collaborates with scholars based in United Kingdom, Germany and United States. Robert E. MacLaren's co-authors include Michelle E. McClements, Alun R. Barnard, Robin R. Ali, Kanmin Xue, R. A. Pearson, Mandeep S. Singh, Susan M. Downes, Markus Groppe, Jane C. Sowden and Jasleen K. Jolly and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Robert E. MacLaren

373 papers receiving 11.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Retinal repair by transplantation of photoreceptor precursors

2006 828 citations Robert E. MacLaren et al. profile →
Retinal gene therapy in patients with choroideremia: initial findings from a phase 1/2 clinical trial

2014 622 citations Robert E. MacLaren, Alun R. Barnard et al. profile →
CRISPR-Cas9 DNA Base-Editing and Prime-Editing

2020 288 citations Michelle E. McClements, Robert E. MacLaren et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert E. MacLaren United Kingdom	54	8.7k	5.0k	2.6k	2.6k	2.0k	384	11.6k
James Bainbridge United Kingdom	51	6.8k 0.8×	3.9k 0.8×	2.0k 0.7×	1.9k 0.7×	1.7k 0.9×	190	9.2k
Jean Bennett United States	66	11.0k 1.3×	4.5k 0.9×	2.5k 1.0×	1.7k 0.7×	4.2k 2.1×	242	13.2k
Stephen H. Tsang United States	53	8.5k 1.0×	5.4k 1.1×	1.8k 0.7×	1.7k 0.7×	1.2k 0.6×	464	10.8k
Tomás S. Alemán United States	59	9.3k 1.1×	5.2k 1.0×	2.4k 0.9×	1.4k 0.5×	2.4k 1.2×	168	10.7k
Michel Michaelides United Kingdom	57	9.3k 1.1×	8.7k 1.7×	1.6k 0.6×	3.3k 1.3×	1.3k 0.6×	429	13.2k
Robin R. Ali United Kingdom	67	12.0k 1.4×	4.3k 0.9×	3.6k 1.4×	2.1k 0.8×	3.7k 1.9×	254	14.6k
Albert M. Maguire United States	53	7.5k 0.9×	4.7k 0.9×	1.5k 0.6×	2.3k 0.9×	3.1k 1.6×	183	10.2k
Masayo Takahashi Japan	52	10.5k 1.2×	2.1k 0.4×	3.5k 1.3×	1.6k 0.6×	1.6k 0.8×	217	12.5k
Artur V. Cideciyan United States	76	15.4k 1.8×	9.1k 1.8×	4.7k 1.8×	2.7k 1.0×	3.2k 1.6×	260	17.9k
Sanford L. Boye United States	46	6.5k 0.7×	2.4k 0.5×	1.6k 0.6×	685 0.3×	2.5k 1.2×	158	7.4k

Countries citing papers authored by Robert E. MacLaren

Since Specialization

Citations

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

Fields of papers citing papers by Robert E. MacLaren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. MacLaren. 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 Robert E. MacLaren. The network helps show where Robert E. MacLaren may publish in the future.

Co-authorship network of co-authors of Robert E. MacLaren

This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. MacLaren. A scholar is included among the top collaborators of Robert E. MacLaren 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 Robert E. MacLaren. Robert E. MacLaren 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

Fry, Lewis E., Ahmed Salman, Lucy McDermott, et al.. (2025). Comparison of CRISPR-Cas13b RNA base editing approaches for USH2A-associated inherited retinal degeneration. Communications Biology. 8(1). 200–200. 3 indexed citations

MacLaren, Robert E., Isabelle Audo, Manuel Fischer, et al.. (2024). An Open-Label Phase II Study Assessing the Safety of Bilateral, Sequential Administration of Retinal Gene Therapy in Participants with Choroideremia: The GEMINI Study. Human Gene Therapy. 35(15-16). 564–575. 5 indexed citations

Edwards, Thomas L., Jasleen K. Jolly, Myra B. McGuinness, et al.. (2024). Retinal Characteristics of Female Choroideremia Carriers. Ophthalmology Retina. 8(12). 1200–1210. 1 indexed citations

Ayton, Lauren N., Thomas Edwards, Myra B. McGuinness, et al.. (2024). Longitudinal assessment of female carriers of choroideremia using multimodal retinal imaging. British Journal of Ophthalmology. 109(2). 293–299. 1 indexed citations

MacLaren, Robert E., Manuel Fischer, James A. Gow, et al.. (2023). Subretinal timrepigene emparvovec in adult men with choroideremia: a randomized phase 3 trial. Nature Medicine. 29(10). 2464–2472. 31 indexed citations

Rijssen, Thomas J. van, Elon H. C. van Dijk, Paula Scholz, et al.. (2021). Long‐term follow‐up of chronic central serous chorioretinopathy after successful treatment with photodynamic therapy or micropulse laser. Acta Ophthalmologica. 99(7). 805–811. 22 indexed citations

Cehajic‐Kapetanovic, Jasmina, Kanmin Xue, Thomas L. Edwards, et al.. (2021). First-in-Human Robot-Assisted Subretinal Drug Delivery Under Local Anesthesia. American Journal of Ophthalmology. 237. 104–113. 49 indexed citations

Jolly, Jasleen K., et al.. (2021). Usability of AdaptDx for Dark Adaptation Testing in Choroideremia. Investigative Ophthalmology & Visual Science. 62(8). 2294–2294. 1 indexed citations

Cross, Sally H., Lisa McKie, Toby W. Hurd, et al.. (2020). The nanophthalmos protein TMEM98 inhibits MYRF self-cleavage and is required for eye size specification. PLoS Genetics. 16(4). e1008583–e1008583. 13 indexed citations

10.

Broadgate, Suzanne, Stephanie Halford, Robert E. MacLaren, et al.. (2020). “Genetic and clinical findings in an ethnically diverse retinitis pigmentosa cohort associated with pathogenic variants in EYS”. Eye. 35(5). 1440–1449. 7 indexed citations

11.

Storm, Tina, Iain Wilson, Angela J. Russell, et al.. (2020). A Semiautomated, Phenotypic, In Vitro Scratch Assay for Assessing Retinal Pigment Epithelial Cell Wound Healing. Journal of Ocular Pharmacology and Therapeutics. 36(4). 257–266.

12.

Kuehlewein, Laura, Krunoslav Stingl, Ákos Kusnyerik, et al.. (2019). Changes in microchip position after implantation of a subretinal vision prosthesis in humans. Acta Ophthalmologica. 97(6). e871–e876. 6 indexed citations

13.

Orlans, Harry O., et al.. (2019). Mirtron gene therapy for the treatment of rhodopsin-related dominant retinitis pigmentosa. Investigative Ophthalmology & Visual Science. 60(9). 5195–5195. 1 indexed citations

14.

McClements, Michelle E., et al.. (2019). Identification of a new Kozak consensus in genes expressed in photoreceptors.. Investigative Ophthalmology & Visual Science. 60(9). 3399–3399. 1 indexed citations

15.

Meinert, Edward, Abrar Alturkistani, Tasnime Osama, et al.. (2018). Digital Technology in Somatic and Gene Therapy Trials of Pediatric Patients With Ocular Diseases: Protocol for a Scoping Review. JMIR Research Protocols. 8(2). e10705–e10705.

16.

Rheede, Joram J. van, et al.. (2016). Smart Specs: Electronic vision enhancement in real-life scenarios. Investigative Ophthalmology & Visual Science. 57(12). 5165–5165. 1 indexed citations

17.

Issa, Peter Charbel, Alun R. Barnard, Philipp Herrmann, Ilyas Washington, & Robert E. MacLaren. (2015). Rescue of the Stargardt phenotype in Abca4 knockout mice through inhibition of vitamin A dimerization. Proceedings of the National Academy of Sciences. 112(27). 8415–8420. 95 indexed citations

18.

Jolly, Jasleen K., et al.. (2014). Refractive outcomes with toric intraocular lens implants.. Investigative Ophthalmology & Visual Science. 55(13). 4195–4195. 1 indexed citations

19.

Singh, Mandeep S., et al.. (2014). Cell fusion following photoreceptor transplantation into the non-degenerate retina. Investigative Ophthalmology & Visual Science. 55(13). 3989–3989. 9 indexed citations

20.

Lipinski, Daniel M., Alun R. Barnard, Peter Charbel Issa, et al.. (2013). Vesicular Stomatitis Virus Glycoprotein– and Venezuelan Equine Encephalitis Virus-Derived Glycoprotein–Pseudotyped Lentivirus Vectors Differentially Transduce Corneal Endothelium, Trabecular Meshwork, and Human Photoreceptors. Human Gene Therapy. 25(1). 50–62. 22 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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