Eriona Hysolli
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
Papers in
-
- CRISPR and Genetic Engineering 9
- Pluripotent Stem Cells Research 7
- RNA and protein synthesis mechanisms 4
- Renal and related cancers 4
- Advanced biosensing and bioanalysis techniques 2
- Epigenetics and DNA Methylation 2
- Genetics 5
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- In‐Hyun Park (8 shared papers)Kun‐Yong Kim (7 shared papers)Yoshiaki Tanaka (7 shared papers)Yong Wook Jung (4 shared papers)George M. Church (5 shared papers)Sherman M. Weissman (4 shared papers)Mei Zhong (4 shared papers)Aditya M. Kunjapur (3 shared papers)
- Journals
- Stem Cell Reports (3 papers)Nature Communications (2 papers)Scientific Reports (1 paper)Current Opinion in Neurology (1 paper)Cell Cycle (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Eriona Hysolli
15 papers receiving 512 citations
Peers
Comparison fields: 5 of 66
- Developmental Neuroscience 39
- Genetics 192
- Molecular Biology 465
- Cognitive Neuroscience 66
- Aging 5
Countries citing papers authored by Eriona Hysolli
This map shows the geographic impact of Eriona Hysolli'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 Eriona Hysolli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eriona Hysolli more than expected).
Fields of papers citing papers by Eriona Hysolli
This network shows the impact of papers produced by Eriona Hysolli. 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 Eriona Hysolli. The network helps show where Eriona Hysolli may publish in the future.
Co-authors
The 25 scholars most cited alongside Eriona Hysolli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 169 | |
| 2 | 2020 | 63 | |
| 3 | 2012 | 56 | |
| 4 | 2018 | 38 | |
| 5 | 2016 | 32 | |
| 6 | 2014 | 31 | |
| 7 | 2017 | 27 | |
| 8 | 2018 | 26 | |
| 9 | 2021 | 25 | |
| 10 | 2015 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2012 | 7 | |
| 13 | 2013 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2012 | 5 | |
| 16 | 2024 | 1 |
About Eriona Hysolli
Eriona Hysolli is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Cellular and Molecular Neuroscience and General Health Professions, having authored 16 papers that have together received 521 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (7 papers), RNA and protein synthesis mechanisms (4 papers), Renal and related cancers (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Epigenetics and DNA Methylation (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Developmental Neuroscience (39 citations), Genetics (192 citations), Molecular Biology (465 citations), Cognitive Neuroscience (66 citations) and Aging (5 citations). Eriona Hysolli has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include In‐Hyun Park, Kun‐Yong Kim, Yoshiaki Tanaka, Yong Wook Jung, George M. Church, Sherman M. Weissman, Mei Zhong, Aditya M. Kunjapur, Yangfei Xiang and Xinghua Pan. Their work appears in journals such as Stem Cell Reports, Nature Communications, Scientific Reports, Current Opinion in Neurology and Cell Cycle.
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.