Dalia Gilat

603 total citations
14 papers, 510 citations indexed

About

Dalia Gilat is a scholar working on Immunology and Allergy, Cell Biology and Immunology. According to data from OpenAlex, Dalia Gilat has authored 14 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology and Allergy, 7 papers in Cell Biology and 6 papers in Immunology. Recurrent topics in Dalia Gilat's work include Cell Adhesion Molecules Research (11 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Dalia Gilat is often cited by papers focused on Cell Adhesion Molecules Research (11 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Dalia Gilat collaborates with scholars based in Israel and United States. Dalia Gilat's co-authors include Rami Hershkoviz, Ofer Lider, Israël Vlodavsky, Liora Cahalon, Yoseph A. Mekori, Gil Korner, R. Alon, Irun R. Cohen, Ariel Miller and Raanan Margalit and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Dalia Gilat

14 papers receiving 495 citations

Peers

Dalia Gilat
Comparison fields: 5 of 67
  • Immunology and Allergy 230
  • Cell Biology 199
  • Immunology 181
  • Molecular Biology 170
  • Oncology 85
Replace G Kamińska with:
G Kamińska United States
M Hoogerwerf Netherlands
Akiko Masumoto Japan
Evelyne Concord France
Tomomi Hirosaki Japan
Olivia Lou United States
Y H Chin United States
Chikao Morimoto United States
Jeffrey S. Bauer United States
Marie‐Luise Blue United States
G Kamińska United States View profile →
Citations per field, relative to Dalia Gilat
Dalia Gilat · 1×
Citations per year, relative to Dalia Gilat
Dalia Gilat · 1×

Countries citing papers authored by Dalia Gilat

Since Specialization
Citations

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

Fields of papers citing papers by Dalia Gilat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalia Gilat

This figure shows the co-authorship network connecting the top 25 collaborators of Dalia Gilat. A scholar is included among the top collaborators of Dalia Gilat 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 Dalia Gilat. Dalia Gilat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 9
2 7
3 69
4 103
5
Inhibition by uraemic sera of CD4+ T-cell adhesion to extracellular matrix components.
5
6 44
7 141
8 14
9
Heat-stressed CD4+ T lymphocytes: differential modulations of adhesiveness to extracellular matrix glycoproteins, proliferative responses and tumour necrosis factor-alpha secretion.
6
10 28
11
Extracellular matrix induces tumour necrosis factor-alpha secretion by an interaction between resting rat CD4+ T cells and macrophages.
30
12
[Prognosis of acute myocardial infarction in the elderly. SPRINT Study Group].
6
13 13
14 35

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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