Sarah Harkins‐Perry

1.7k total citations
16 papers, 1.0k citations indexed

About

Sarah Harkins‐Perry is a scholar working on Molecular Biology, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sarah Harkins‐Perry has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Sensory Systems and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sarah Harkins‐Perry's work include Retinal Development and Disorders (6 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). Sarah Harkins‐Perry is often cited by papers focused on Retinal Development and Disorders (6 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). Sarah Harkins‐Perry collaborates with scholars based in United States, Australia and Japan. Sarah Harkins‐Perry's co-authors include Ulrich Müller, Cristina Gil‐Sanz, Santos J. Franco, Isabel Martínez‐Garay, Ana Espinosa, Bo Zhao, Zizhen Wu, Cynthia De la Garza‐Ramos, Nicolas Grillet and Wei Xiong and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Sarah Harkins‐Perry

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah Harkins‐Perry United States	10	573	354	321	227	144	16	1.0k
Diego Echevarrı́a Spain	16	986 1.7×	294 0.8×	445 1.4×	164 0.7×	135 0.9×	40	1.5k
Renaud Vandenbosch Belgium	19	416 0.7×	269 0.8×	154 0.5×	132 0.6×	77 0.5×	32	919
Seung‐Hyuk Chung United States	20	451 0.8×	348 1.0×	379 1.2×	136 0.6×	77 0.5×	52	1.1k
Martin M. Riccomagno United States	9	648 1.1×	137 0.4×	223 0.7×	264 1.2×	147 1.0×	19	1.0k
Jennie Close United States	15	1.2k 2.1×	330 0.9×	328 1.0×	126 0.6×	190 1.3×	18	1.6k
Alfonso Lavado United States	19	816 1.4×	306 0.9×	374 1.2×	84 0.4×	371 2.6×	28	1.3k
Chunjie Zhao China	16	421 0.7×	218 0.6×	213 0.7×	187 0.8×	39 0.3×	32	841
Marina Snapyan Canada	11	447 0.8×	429 1.2×	412 1.3×	69 0.3×	63 0.4×	15	980
Euiseok J. Kim United States	12	637 1.1×	469 1.3×	466 1.5×	92 0.4×	81 0.6×	16	1.3k
Juan Antonio Sánchez‐Alcañiz Spain	11	378 0.7×	335 0.9×	630 2.0×	54 0.2×	120 0.8×	15	1.2k

Countries citing papers authored by Sarah Harkins‐Perry

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Harkins‐Perry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Harkins‐Perry. 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 Sarah Harkins‐Perry. The network helps show where Sarah Harkins‐Perry may publish in the future.

Co-authorship network of co-authors of Sarah Harkins‐Perry

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

All Works

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16 of 16 papers shown

1.

Rosarda, Jessica D., Sarah Giles, Sarah Harkins‐Perry, et al.. (2023). Imbalanced unfolded protein response signaling contributes to 1-deoxysphingolipid retinal toxicity. Nature Communications. 14(1). 4119–4119. 16 indexed citations

2.

Eade, Kevin, Brendan R. E. Ansell, Sarah Giles, et al.. (2023). iPSC–derived retinal pigmented epithelial cells from patients with macular telangiectasia show decreased mitochondrial function. Journal of Clinical Investigation. 133(9). 5 indexed citations

3.

Usui‐Ouchi, Ayumi, Sarah Giles, Sarah Harkins‐Perry, et al.. (2023). Integrating human iPSC ‐derived macrophage progenitors into retinal organoids to generate a mature retinal microglial niche. Glia. 71(10). 2372–2382. 19 indexed citations

4.

Thomas, Eric D., Andrew E. Timms, Sarah Giles, et al.. (2022). Cell-specific cis-regulatory elements and mechanisms of non-coding genetic disease in human retina and retinal organoids. Developmental Cell. 57(6). 820–836.e6. 42 indexed citations

5.

Eade, Kevin, Marin L. Gantner, Joseph Hostyk, et al.. (2021). Serine biosynthesis defect due to haploinsufficiency of PHGDH causes retinal disease. Nature Metabolism. 3(3). 366–377. 32 indexed citations

6.

Eade, Kevin, Sarah Giles, Sarah Harkins‐Perry, & Martin Friedlander. (2021). Toxicity Screens in Human Retinal Organoids for Pharmaceutical Discovery. Journal of Visualized Experiments. 9 indexed citations

7.

Eade, Kevin, et al.. (2021). Toxicity Screens in Human Retinal Organoids for Pharmaceutical Discovery. Journal of Visualized Experiments. 2 indexed citations

8.

Thomas, Eric D., Andrew E. Timms, Sarah Giles, et al.. (2021). Multi-omic Analysis of Developing Human Retina and Organoids Reveals Cell-Specific Cis-Regulatory Elements and Mechanisms of Non-Coding Genetic Disease Risk. SSRN Electronic Journal. 2 indexed citations

9.

Fallon, Regis, Jana Zernant, Takayuki Nagasaki, et al.. (2018). Rare variants in the phosphoglycerate dehydrogenase (PHGDH) gene in MacTel patients lead to decreased enzymatic activity. Investigative Ophthalmology & Visual Science. 59(9). 5409–5409. 1 indexed citations

10.

Cunningham, Christopher L., Zizhen Wu, Aria Jafari, et al.. (2017). The murine catecholamine methyltransferase mTOMT is essential for mechanotransduction by cochlear hair cells. PMC. 3 indexed citations

11.

Cunningham, Christopher L., Zizhen Wu, Aria Jafari, et al.. (2017). The murine catecholamine methyltransferase mTOMT is essential for mechanotransduction by cochlear hair cells. eLife. 6. 27 indexed citations

12.

Wu, Zizhen, Nicolas Grillet, Bo Zhao, et al.. (2016). Mechanosensory hair cells express two molecularly distinct mechanotransduction channels. Nature Neuroscience. 20(1). 24–33. 98 indexed citations

13.

Zhao, Bo, Zizhen Wu, Nicolas Grillet, et al.. (2014). TMIE Is an Essential Component of the Mechanotransduction Machinery of Cochlear Hair Cells. Neuron. 84(5). 954–967. 158 indexed citations

14.

Gil‐Sanz, Cristina, Santos J. Franco, Isabel Martínez‐Garay, et al.. (2013). Cajal-Retzius Cells Instruct Neuronal Migration by Coincidence Signaling between Secreted and Contact-Dependent Guidance Cues. Neuron. 79(3). 461–477. 115 indexed citations

15.

Franco, Santos J., Cristina Gil‐Sanz, Isabel Martínez‐Garay, et al.. (2012). Fate-Restricted Neural Progenitors in the Mammalian Cerebral Cortex. Science. 337(6095). 746–749. 231 indexed citations

16.

Franco, Santos J., Isabel Martínez‐Garay, Cristina Gil‐Sanz, Sarah Harkins‐Perry, & Ulrich Müller. (2011). Reelin Regulates Cadherin Function via Dab1/Rap1 to Control Neuronal Migration and Lamination in the Neocortex. Neuron. 69(3). 482–497. 263 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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