Goran Periz
Impact in
Papers in
-
- Developmental Biology and Gene Regulation 3
- RNA Research and Splicing 3
- Cell Biology 10
- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Jiou Wang (6 shared papers)Jeffrey D. Rothstein (2 shared papers)Min‐Sik Kim (1 shared paper)Akhilesh Pandey (1 shared paper)Aaron R. Haeusler (1 shared paper)Patrick G. Shaw (1 shared paper)Nicholas J. Maragakis (1 shared paper)Juan C. Troncoso (1 shared paper)
- Journals
- Neuron (2 papers)Letters in Applied Microbiology (2 papers)Human Molecular Genetics (1 paper)Frontiers in Public Health (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Goran Periz
21 papers receiving 1.3k citations
Goran Periz's Hit Papers
Peers
Comparison fields: 5 of 83
- Aging 64
- Neurology 473
- Genetics 280
- Molecular Biology 853
- Cellular and Molecular Neuroscience 188
Countries citing papers authored by Goran Periz
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
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-authors
The 25 scholars most cited alongside Goran Periz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | C9orf72 nucleotide repeat structures initiate molecular cascades of disease Hit paper breakdown → | 2014 | 761 |
| 2 | 2011 | 108 | |
| 3 | 2004 | 58 | |
| 4 | 1999 | 54 | |
| 5 | 2021 | 49 | |
| 6 | 2014 | 42 | |
| 7 | 2020 | 41 | |
| 8 | 2015 | 36 | |
| 9 | 2008 | 28 | |
| 10 | 1997 | 20 | |
| 11 | 2020 | 17 | |
| 12 | 2007 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2010 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Goran Periz
Goran Periz is a scholar working on Molecular Biology, Cell Biology, Neurology, Clinical Psychology and Cultural Studies, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Body Image and Dysmorphia Studies (4 papers), Tattoo and Body Piercing Complications (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Developmental Biology and Gene Regulation (3 papers), RNA Research and Splicing (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Aging (64 citations), Neurology (473 citations), Genetics (280 citations), Molecular Biology (853 citations) and Cellular and Molecular Neuroscience (188 citations). Goran Periz has collaborated with scholars based in United States and France. Frequent co-authors include Jiou Wang, Jeffrey D. Rothstein, Min‐Sik Kim, Akhilesh Pandey, Aaron R. Haeusler, Patrick G. Shaw, Nicholas J. Maragakis, Juan C. Troncoso, Christopher J. Donnelly and Rita Sattler. Their work appears in journals such as Neuron, Letters in Applied Microbiology, Human Molecular Genetics, Frontiers in Public Health and Developmental Biology.
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.