Ghita Ghislat
- Physiology top 2%
- Calcium signaling and nucleotide metabolism 3
- Epidemiology top 5%
- Autophagy in Disease and Therapy 10
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 3
- Cellular transport and secretion 2
- Geriatrics and Gerontology top 10%
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 3
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- Computational Drug Discovery Methods 4
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- Cancer Genomics and Diagnostics 4
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- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- David C. RubinszteinErwin KnechtMaurizio RennaFiona M. MenziesClaudia PuriMariella VicinanzaAvraham AshkenaziCarla F. Bento
- Cited by
- PhysiologyEpidemiologyCell Biology
- Journals
- Journal of Cell Science (2 papers)Cellular and Molecular Immunology (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United KingdomFranceSpain
In The Last Decade
Ghita Ghislat
21 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Physiology 150
- Epidemiology 817
- Cell Biology 269
- Geriatrics and Gerontology 52
- Molecular Biology 765
Countries citing papers authored by Ghita Ghislat
This map shows the geographic impact of Ghita Ghislat'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 Ghita Ghislat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghita Ghislat more than expected).
Fields of papers citing papers by Ghita Ghislat
This network shows the impact of papers produced by Ghita Ghislat. 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 Ghita Ghislat. The network helps show where Ghita Ghislat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ghita Ghislat, 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 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 29 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 77 | |
| 9 | 2019 | 26 | |
| 10 | 2018 | 117 | |
| 11 | Mammalian Autophagy: How Does It Work?breakdown → | 2016 | 547 |
| 12 | 2016 | 163 | |
| 13 | 2015 | 46 | |
| 14 | 2015 | 70 | |
| 15 | 2013 | 63 | |
| 16 | 2013 | 22 | |
| 17 | 2012 | 56 | |
| 18 | 2012 | 21 | |
| 19 | 2012 | 101 | |
| 20 | 2009 | 67 |
About Ghita Ghislat
Ghita Ghislat is a scholar working on Physiology, Cancer Research and Cell Biology, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Computational Drug Discovery Methods (4 papers), Cancer Genomics and Diagnostics (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Bioinformatics and Genomic Networks (3 papers), Calcium signaling and nucleotide metabolism (3 papers), Cellular transport and secretion (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Physiology (150 citations), Epidemiology (817 citations) and Cell Biology (269 citations). Ghita Ghislat has collaborated with scholars based in United Kingdom, France and Spain. Frequent co-authors include David C. Rubinsztein, Erwin Knecht, Maurizio Renna, Fiona M. Menzies, Claudia Puri, Mariella Vicinanza, Avraham Ashkenazi, Carla F. Bento, Toby Lawrence and Pedro J. Ballester. Their work appears in journals such as Journal of Cell Science, Cellular and Molecular Immunology, Human Molecular Genetics, Nature Communications and Annual Review of Biochemistry.
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.