Goran Periz

1.7k total citations · 1 hit paper
21 papers, 1.2k citations indexed

About

Goran Periz is a scholar working on Molecular Biology, Cell Biology and Neurology. According to data from OpenAlex, Goran Periz has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Neurology. Recurrent topics in Goran Periz's work include Amyotrophic Lateral Sclerosis Research (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Body Image and Dysmorphia Studies (4 papers). Goran Periz is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Body Image and Dysmorphia Studies (4 papers). Goran Periz collaborates with scholars based in United States. Goran Periz's co-authors include Jiou Wang, Jeffrey D. Rothstein, Rita Sattler, Juan C. Troncoso, Nicholas J. Maragakis, Akhilesh Pandey, Aaron R. Haeusler, Min‐Sik Kim, Christopher J. Donnelly and Patrick G. Shaw and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Goran Periz

20 papers receiving 1.2k citations

Hit Papers

C9orf72 nucleotide repeat structures initiate molecular c... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Goran Periz United States 12 849 461 294 188 126 21 1.2k
Anny Devoy United Kingdom 14 824 1.0× 628 1.4× 321 1.1× 230 1.2× 171 1.4× 16 1.3k
Toufik Abbas‐Terki Switzerland 9 830 1.0× 323 0.7× 126 0.4× 195 1.0× 85 0.7× 9 1.1k
Sergey S. Novoselov United Kingdom 14 751 0.9× 305 0.7× 106 0.4× 296 1.6× 113 0.9× 20 1.0k
J. Gavin Daigle United States 7 451 0.5× 291 0.6× 186 0.6× 85 0.5× 62 0.5× 9 670
Peter Karsten Germany 8 338 0.4× 254 0.6× 97 0.3× 168 0.9× 97 0.8× 8 643
Laura C. Bott United States 10 812 1.0× 179 0.4× 135 0.5× 252 1.3× 150 1.2× 18 1.1k
Alessandra Boncoraglio Italy 12 680 0.8× 274 0.6× 122 0.4× 217 1.2× 112 0.9× 12 971
Vera Župunski Slovenia 8 907 1.1× 740 1.6× 499 1.7× 111 0.6× 92 0.7× 8 1.2k
Jiou Wang United States 13 424 0.5× 258 0.6× 123 0.4× 49 0.3× 67 0.5× 21 627
Aaron R. Haeusler United States 12 1.2k 1.5× 1.1k 2.3× 727 2.5× 345 1.8× 183 1.5× 18 1.9k

Countries citing papers authored by Goran Periz

Since Specialization
Citations

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

Fields of papers citing papers by Goran Periz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goran Periz

This figure shows the co-authorship network connecting the top 25 collaborators of Goran Periz. A scholar is included among the top collaborators of Goran Periz 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 Goran Periz. Goran Periz 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.
Liu, Mingming, Gege Gui, Hao Wang, et al.. (2026). C9orf72 hexanucleotide repeat RNA drives transcriptional dysregulation through genome-wide DNA:RNA hybrid G-quadruplexes. Neuron. 114(6). 1045–1065.e13.
2.
Foley, Steven L., et al.. (2024). Detection of anaerobic and aerobic bacteria from commercial tattoo and permanent makeup inks. Applied and Environmental Microbiology. 90(7). e0027624–e0027624. 1 indexed citations
3.
Lu, Yuning, Qing Tang, Goran Periz, et al.. (2023). DBT is a metabolic switch for maintenance of proteostasis under proteasomal impairment. eLife. 12. 1 indexed citations
4.
Liu, Yang, Honghe Liu, Zhicheng Ji, et al.. (2023). DNA-initiated epigenetic cascades driven by C9orf72 hexanucleotide repeat. Neuron. 111(8). 1205–1221.e9. 12 indexed citations
5.
Periz, Goran, et al.. (2023). Recalls of tattoo and permanent makeup inks in the United States and a follow-up microbiological survey of inks with a previous recall history. Frontiers in Public Health. 11. 1279884–1279884. 1 indexed citations
6.
Nho, Seong Won, et al.. (2022). Microbiological Survey of 47 Permanent Makeup Inks Available in the United States. Microorganisms. 10(4). 820–820. 4 indexed citations
7.
Liu, Honghe, Yuning Lu, Goran Periz, et al.. (2021). A Helicase Unwinds Hexanucleotide Repeat RNA G-Quadruplexes and Facilitates Repeat-Associated Non-AUG Translation. Journal of the American Chemical Society. 143(19). 7368–7379. 48 indexed citations
8.
Nho, Seong Won, et al.. (2020). Microbial contamination of tattoo and permanent makeup inks marketed in the US: a follow‐up study. Letters in Applied Microbiology. 71(4). 351–358. 15 indexed citations
9.
Periz, Goran, et al.. (2020). USP7 regulates ALS-associated proteotoxicity and quality control through the NEDD4L–SMAD pathway. Proceedings of the National Academy of Sciences. 117(45). 28114–28125. 39 indexed citations
10.
Lu, Jiayin, Goran Periz, Yuning Lu, et al.. (2019). L3MBTL1 regulates ALS/FTD-associated proteotoxicity and quality control. Nature Neuroscience. 22(6). 875–886. 11 indexed citations
11.
Periz, Goran, et al.. (2018). FDA 2014 survey of eye area cosmetics for microbiological safety. Letters in Applied Microbiology. 67(1). 32–38. 4 indexed citations
12.
Periz, Goran, Jiayin Lu, Tao Zhang, et al.. (2015). Regulation of Protein Quality Control by UBE4B and LSD1 through p53-Mediated Transcription. PLoS Biology. 13(4). e1002114–e1002114. 36 indexed citations
13.
Zhang, Tao, et al.. (2014). RNA-Processing Protein TDP-43 Regulates FOXO-Dependent Protein Quality Control in Stress Response. PLoS Genetics. 10(10). e1004693–e1004693. 41 indexed citations
14.
Haeusler, Aaron R., Christopher J. Donnelly, Goran Periz, et al.. (2014). C9orf72 nucleotide repeat structures initiate molecular cascades of disease. Nature. 507(7491). 195–200. 730 indexed citations breakdown →
15.
Zhang, Tao, Patrick Mullane, Goran Periz, & Jiou Wang. (2011). TDP-43 neurotoxicity and protein aggregation modulated by heat shock factor and insulin/IGF-1 signaling. Human Molecular Genetics. 20(10). 1952–1965. 103 indexed citations
16.
Periz, Goran, Ye Yan, Zachary T. Bitzer, & Shanthini Sockanathan. (2010). GDP-bound Gαi2 regulates spinal motor neuron differentiation through interaction with GDE2. Developmental Biology. 341(1). 213–221. 5 indexed citations
17.
Periz, Goran, et al.. (2007). Flagellar Elongation and Gene Expression inChlamydomonas reinhardtii. Eukaryotic Cell. 6(8). 1411–1420. 11 indexed citations
18.
Periz, Goran & Mark Fortini. (2004). Functional reconstitution of γ‐secretase through coordinated expression of presenilin, nicastrin, Aph‐1, and Pen‐2. Journal of Neuroscience Research. 77(3). 309–322. 56 indexed citations
19.
Periz, Goran. (1999). Ca2+-ATPase function is required for intracellular trafficking of the Notch receptor in Drosophila. The EMBO Journal. 18(21). 5983–5993. 53 indexed citations
20.
Periz, Goran, et al.. (1997). DNA Elements Regulating Α1-Tubulin Gene Induction during Regeneration of Eukaryotic Flagella. Molecular and Cellular Biology. 17(7). 3858–3866. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026