Anna Matynia

3.4k total citations
50 papers, 2.3k citations indexed

About

Anna Matynia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Anna Matynia has authored 50 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Anna Matynia's work include Retinal Development and Disorders (11 papers), Circadian rhythm and melatonin (8 papers) and Photoreceptor and optogenetics research (5 papers). Anna Matynia is often cited by papers focused on Retinal Development and Disorders (11 papers), Circadian rhythm and melatonin (8 papers) and Photoreceptor and optogenetics research (5 papers). Anna Matynia collaborates with scholars based in United States, Canada and Egypt. Anna Matynia's co-authors include Alcino J. Silva, Steven A. Kushner, Adelaide P. Yiu, John F. Guzowski, Robert A. Brown, Sheena A. Josselyn, Jin‐Hee Han, Rachael L. Neve, Robert L. Schmidt and Douglas G. Adler and has published in prestigious journals such as Science, Journal of Biological Chemistry and Neuron.

In The Last Decade

Anna Matynia

50 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Matynia United States 22 886 836 507 326 250 50 2.3k
Patricia Jensen United States 24 1.2k 1.4× 819 1.0× 443 0.9× 245 0.8× 137 0.5× 43 2.4k
Keling Zang United States 23 1.6k 1.8× 1.7k 2.1× 212 0.4× 335 1.0× 436 1.7× 27 3.8k
Brian Bates United States 24 2.0k 2.3× 1.0k 1.2× 261 0.5× 661 2.0× 366 1.5× 32 3.8k
Robert Machold United States 27 2.3k 2.5× 1.2k 1.5× 566 1.1× 194 0.6× 127 0.5× 38 3.8k
Daniela Gast Germany 14 1.1k 1.2× 795 1.0× 271 0.5× 473 1.5× 212 0.8× 14 2.9k
Lily Ng United States 30 2.1k 2.3× 818 1.0× 220 0.4× 152 0.5× 146 0.6× 56 3.8k
Joanne C. Conover United States 27 1.4k 1.6× 1.9k 2.2× 180 0.4× 172 0.5× 271 1.1× 43 3.8k
Marie‐Françoise Belin France 37 1.3k 1.4× 1.9k 2.2× 211 0.4× 195 0.6× 366 1.5× 98 3.7k
Gonzalo Álvarez‐Bolado Germany 29 2.2k 2.5× 759 0.9× 217 0.4× 165 0.5× 122 0.5× 69 3.2k
Sayaka Takemoto‐Kimura Japan 21 1.3k 1.4× 1.2k 1.4× 365 0.7× 199 0.6× 160 0.6× 33 2.3k

Countries citing papers authored by Anna Matynia

Since Specialization
Citations

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

Fields of papers citing papers by Anna Matynia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Matynia. 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 Anna Matynia. The network helps show where Anna Matynia may publish in the future.

Co-authorship network of co-authors of Anna Matynia

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Matynia. A scholar is included among the top collaborators of Anna Matynia 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 Anna Matynia. Anna Matynia 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
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Hussain, Hafiz Muhammad Jafar, Mark E. Pennesi, Paul Yang, et al.. (2024). Comparative analysis of in-silico tools in identifying pathogenic variants in dominant inherited retinal diseases. Human Molecular Genetics. 33(11). 945–957. 5 indexed citations
3.
Wen, Shu, Meng C. Wang, Yumei Li, et al.. (2023). Systematic assessment of the contribution of structural variants to inherited retinal diseases. Human Molecular Genetics. 32(12). 2005–2015. 7 indexed citations
4.
Wang, Huei‐Bin, David Zhou, Anna Matynia, et al.. (2022). Long wavelength light reduces the negative consequences of dim light at night. Neurobiology of Disease. 176. 105944–105944. 6 indexed citations
5.
Radu, Roxana A., et al.. (2021). Membrane attack complex induces RPE cell death in Stargardt Disease. Investigative Ophthalmology & Visual Science. 62(8). 2994–2994. 1 indexed citations
6.
Hu, Jane, et al.. (2020). Complement Dysregulation is Evidenced in iPSC-derived RPE Cells from Stargardt Disease patients. Investigative Ophthalmology & Visual Science. 61(7). 1507–1507. 1 indexed citations
7.
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Loewendorf, Andrea, et al.. (2016). Roads Less Traveled: Sexual Dimorphism and Mast Cell Contributions to Migraine Pathology. Frontiers in Immunology. 7. 21 indexed citations
9.
Strom, Samuel P., Michael J. Clark, Sarah Garcia, et al.. (2016). De Novo Occurrence of a Variant in ARL3 and Apparent Autosomal Dominant Transmission of Retinitis Pigmentosa. PLoS ONE. 11(3). e0150944–e0150944. 31 indexed citations
10.
Parikh, Suhag, et al.. (2016). An Alternative and Validated Injection Method for Accessing the Subretinal Space <i>via</i> a Transcleral Posterior Approach. Journal of Visualized Experiments. 14 indexed citations
11.
Matynia, Anna, Eileen Nguyen, Xiaoping Sun, et al.. (2016). Peripheral Sensory Neurons Expressing Melanopsin Respond to Light. Frontiers in Neural Circuits. 10. 60–60. 51 indexed citations
12.
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Schmidt, Tiffany M., Michael Tri H., Dennis M. Dacey, et al.. (2011). Melanopsin-Positive Intrinsically Photosensitive Retinal Ganglion Cells: From Form to Function. Journal of Neuroscience. 31(45). 16094–16101. 182 indexed citations
14.
Matynia, Anna, Suhag Parikh, Bingzhang Chen, Steven Nusinowitz, & Michael B. Gorin. (2010). Behavioral and Pharmacological Analysis of Light Associated Allodynia. Investigative Ophthalmology & Visual Science. 51(13). 675–675. 1 indexed citations
15.
Hutnick, Leah, Peyman Golshani, Masakazu Namihira, et al.. (2009). DNA hypomethylation restricted to the murine forebrain induces cortical degeneration and impairs postnatal neuronal maturation. Human Molecular Genetics. 18(15). 2875–2888. 140 indexed citations
16.
Matynia, Anna, et al.. (2008). A High Through-Put Reverse Genetic Screen Identifies Two Genes Involved in Remote Memory in Mice. PLoS ONE. 3(5). e2121–e2121. 25 indexed citations
17.
Nagy, Vanja, Ozlem Bozdagi, Anna Matynia, et al.. (2006). Matrix Metalloproteinase-9 Is Required for Hippocampal Late-Phase Long-Term Potentiation and Memory. Journal of Neuroscience. 26(7). 1923–1934. 413 indexed citations
18.
Matynia, Anna, Stephan Anagnostaras, & Alcino J. Silva. (2001). Weaving the Molecular and Cognitive Strands of Memory. Neuron. 32(4). 557–559. 6 indexed citations
19.
Matynia, Anna, Krassen Dimitrov, Ulrich Mueller, Xiangwei He, & Shelley Sazer. (1996). Perturbations in the spi1p GTPase Cycle of Schizosaccharomyces pombe through Its GTPase-Activating Protein and Guanine Nucleotide Exchange Factor Components Result in Similar Phenotypic Consequences. Molecular and Cellular Biology. 16(11). 6352–6362. 34 indexed citations
20.
Kakkis, Emil, Anna Matynia, Adam J. Jonas, & Elizabeth F. Neufeld. (1994). Overexpression of the Human Lysosomal Enzyme α-L-Iduronidase in Chinese Hamster Ovary Cells. Protein Expression and Purification. 5(3). 225–232. 80 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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