Neta Ilan

10.1k citations
157 papers · 8.5k · h-index 53

Impact in

Papers in

    • Proteoglycans and glycosaminoglycans research 131
    • Glycosylation and Glycoproteins Research 79
    • Fibroblast Growth Factor Research 52
    • Wnt/β-catenin signaling in development and cancer 14

Neta Ilan

155 papers receiving 8.3k citations

Peers

Neta Ilan
Comparison fields: 5 of 117
  • Cell Biology 5.9k
  • Immunology and Allergy 666
  • Hematology 822
  • Molecular Biology 5.1k
  • Cancer Research 962
Replace Eyal Zcharia with:
Eyal Zcharia Israel
Matthew A. Nugent United States
Åke Wasteson Sweden
Gregory David United States
Judith A. Abraham United States
Maurizio Onisto Italy
Thomas Maciag United States
Markku Salmivirta Finland
Paolo Mignatti United States
George P. Tuszynski United States
Neta Ilan relative to Eyal Zcharia Israel Eyal Zcharia's profile →
Citations per field
00.5×4.2×
Eyal Zcharia · 1×
Citations per year

Countries citing papers authored by Neta Ilan

Since Specialization
Citations

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

Fields of papers citing papers by Neta Ilan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neta Ilan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neta Ilan Line = papers co-authored together Neta Ilan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006452
2 2001264
3 2007229
4 2006208
5 2004197
6 2004197
7 2011197
8 2003192
9 2016183
10 2009182
11 2016174
12 2004154
13 2010142
14 2005140
15
Heparanase affects adhesive and tumorigenic potential of human glioma cells.
2003136
16 2015131
17 2001117
18 2006115
19 2012115
20 2010114

About Neta Ilan

Neta Ilan is a scholar working on Cell Biology, Molecular Biology, Hematology, Organic Chemistry and Immunology and Allergy, having authored 157 papers that have together received 8.5k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (131 papers), Glycosylation and Glycoproteins Research (79 papers), Fibroblast Growth Factor Research (52 papers), Wnt/β-catenin signaling in development and cancer (14 papers), Carbohydrate Chemistry and Synthesis (13 papers), Cell Adhesion Molecules Research (13 papers), Platelet Disorders and Treatments (12 papers) and Protease and Inhibitor Mechanisms (12 papers). The work is most often cited by research in Cell Biology (5.9k citations), Immunology and Allergy (666 citations), Hematology (822 citations), Molecular Biology (5.1k citations) and Cancer Research (962 citations). Neta Ilan has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Israël Vlodavsky, Michael Elkin, Joseph A. Madri, Ralph D. Sanderson, Flonia Levy‐Adam, Anna Zetser, Itay Shafat, Inna Naroditsky, Svetlana Gingis‐Velitski and Yulia Bashenko. Their work appears in journals such as The FASEB Journal, Cancer Research, Matrix Biology, Journal of Biological Chemistry and PLoS ONE.

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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