Ronald E. Hurd

1.3k total citations
8 papers, 1.1k citations indexed

About

Ronald E. Hurd is a scholar working on Molecular Biology, Ophthalmology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ronald E. Hurd has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Ophthalmology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ronald E. Hurd's work include Retinal Development and Disorders (6 papers), Retinal Diseases and Treatments (5 papers) and Photoreceptor and optogenetics research (2 papers). Ronald E. Hurd is often cited by papers focused on Retinal Development and Disorders (6 papers), Retinal Diseases and Treatments (5 papers) and Photoreceptor and optogenetics research (2 papers). Ronald E. Hurd collaborates with scholars based in United States and United Kingdom. Ronald E. Hurd's co-authors include Roderick T. Bronson, Chantal M. Longo-Guess, Susan L. Ackerman, Wayne N. Frankel, Jeffrey A. Klein, Marlies P. Rossmann, Kevin L. Seburn, Bo Chang, Muriel T. Davisson and John R. Heckenlively and has published in prestigious journals such as Nature, Human Molecular Genetics and Investigative Ophthalmology & Visual Science.

In The Last Decade

Ronald E. Hurd

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronald E. Hurd United States 7 892 288 254 105 80 8 1.1k
Zhichun Jiang United States 15 696 0.8× 231 0.8× 442 1.7× 77 0.7× 109 1.4× 24 951
Kai Yao China 15 666 0.7× 135 0.5× 147 0.6× 99 0.9× 89 1.1× 61 967
Antonella Comitato Italy 16 732 0.8× 251 0.9× 273 1.1× 105 1.0× 46 0.6× 25 866
Wenjun Xiong United States 11 734 0.8× 158 0.5× 204 0.8× 61 0.6× 50 0.6× 26 907
Haoliang Huang United States 17 516 0.6× 250 0.9× 267 1.1× 138 1.3× 59 0.7× 23 810
Ayse Sahaboglu Germany 17 1.0k 1.1× 269 0.9× 521 2.1× 77 0.7× 117 1.5× 25 1.2k
Mònica Aguilà United Kingdom 13 911 1.0× 367 1.3× 238 0.9× 205 2.0× 67 0.8× 20 1.0k
Natik Piri United States 22 1.2k 1.4× 324 1.1× 597 2.4× 174 1.7× 167 2.1× 52 1.5k
Laura Campello Spain 17 795 0.9× 218 0.8× 494 1.9× 71 0.7× 132 1.6× 28 1.1k
Kenneth P. Mitton United States 18 727 0.8× 190 0.7× 327 1.3× 178 1.7× 167 2.1× 47 1.1k

Countries citing papers authored by Ronald E. Hurd

Since Specialization
Citations

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

Fields of papers citing papers by Ronald E. Hurd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald E. Hurd

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

All Works

8 of 8 papers shown
1.
Nagai, Norihiro, Kanako Izumi‐Nagai, Scott Robbie, et al.. (2011). Spontaneous Cnv In A Novel Mutant Mouse Is Associated With Early Chorio-retinal Para-inflammation And Vegf Driven Angiogenesis. Investigative Ophthalmology & Visual Science. 52(14). 1015–1015. 1 indexed citations
2.
Won, Jungyeon, Wanda L. Hicks, Jieping Wang, et al.. (2010). Mouse Model Resources for Vision Research. Journal of Ophthalmology. 2011. 1–12. 63 indexed citations
3.
Scott-McKean, Jonah J., Bo Chang, Ronald E. Hurd, et al.. (2010). The Mouse Model of Down Syndrome Ts65Dn Presents Visual Deficits as Assessed by Pattern Visual Evoked Potentials. Investigative Ophthalmology & Visual Science. 51(6). 3300–3300. 24 indexed citations
4.
Chang, Bo, Md Nawajes A. Mandal, Venkata Ramana Murthy Chavali, et al.. (2008). Age-related retinal degeneration (arrd2) in a novel mouse model due to a nonsense mutation in the Mdm1 gene. Human Molecular Genetics. 17(24). 3929–3941. 23 indexed citations
5.
Chang, Bo, John R. Heckenlively, Philippa R. Bayley, et al.. (2006). Thenob2mouse, a null mutation inCacna1f: Anatomical and functional abnormalities in the outer retina and their consequences on ganglion cell visual responses. Visual Neuroscience. 23(1). 11–24. 165 indexed citations
6.
Chang, Bo, Norman L. Hawes, Ronald E. Hurd, et al.. (2005). Retinal degeneration 12 (rd12): a new, spontaneously arising mouse model for human Leber congenital amaurosis (LCA).. PubMed. 11. 152–62. 182 indexed citations
7.
Heckenlively, John R., Norman L. Hawes, Martin Friedlander, et al.. (2003). MOUSE MODEL OF SUBRETINAL NEOVASCULARIZATION WITH CHOROIDAL ANASTOMOSIS. Retina. 23(4). 518–522. 119 indexed citations
8.
Klein, Jeffrey A., Chantal M. Longo-Guess, Marlies P. Rossmann, et al.. (2002). The harlequin mouse mutation downregulates apoptosis-inducing factor. Nature. 419(6905). 367–374. 482 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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