Ghita Ghislat

2.0k citations
22 papers · 1.5k indexed · 1 hit paper · h-index 16
Topics
Autophagy in Disease and Therapy (10 papers)Computational Drug Discovery Methods (4 papers)Cancer Genomics and Diagnostics (4 papers)
Journals
Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Ghita Ghislat

21 papers receiving 1.5k citations

Hit Papers

Mammalian Autophagy: How Does It Work?20162026201920222016100200300400500

Peers

Ghita Ghislat
Comparison fields: 5 of 106
  • Epidemiology 817
  • Molecular Biology 765
  • Cell Biology 269
  • Immunology 209
  • Physiology 154
Replace Fabien Gautier with:
Fabien Gautier France
Idil Orhon France
Claudia Dall’Armi United States
Diane Crighton United Kingdom
Margaret A. Park United States
Boaz Inbal Israel
Heling Pan China
Rossella De Cegli Italy
Joung Hyuck Joo United States
Elisabeth Corcelle–Termeau Denmark
Ghita Ghislat relative to Fabien Gautier France Fabien Gautier's profile →
Citations per field
00.5×1.5×2.4×
Fabien Gautier · 1×
Citations per year

Countries citing papers authored by Ghita Ghislat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ghita Ghislat

This figure shows the co-authorship network connecting the top 25 collaborators of Ghita Ghislat. A scholar is included among the top collaborators of Ghita Ghislat 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 Ghita Ghislat. Ghita Ghislat 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
#WorkIndexed citations
1 0
2 11
3 10
4 6
5 29
6 7
7 20
8 77
9 26
10 117
11
Mammalian Autophagy: How Does It Work?breakdown →
547
12 163
13 46
14 70
15 63
16 22
17 56
18 21
19 101
20 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) and Cancer Genomics and Diagnostics (4 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 Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

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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