Neta Ilan

10.1k citations
158 papers · 8.6k · h-index 54

Impact in

Papers in

    • Proteoglycans and glycosaminoglycans research 132
    • Glycosylation and Glycoproteins Research 79
    • Fibroblast Growth Factor Research 52
    • Wnt/β-catenin signaling in development and cancer 14

Neta Ilan

155 papers receiving 8.4k citations

Peers

Neta Ilan
Comparison fields: 5 of 118
  • Cell Biology 6.0k
  • Immunology and Allergy 676
  • Hematology 841
  • Molecular Biology 5.2k
  • Cancer Research 994
Replace Ralph D. Sanderson with:
Ralph D. Sanderson United States
Eyal Zcharia Israel
Åke Wasteson Sweden
Gregory David United States
Judith A. Abraham United States
Thomas Maciag United States
Maurizio Onisto Italy
Markku Salmivirta Finland
George P. Tuszynski United States
Paolo Mignatti United States
Neta Ilan relative to Ralph D. Sanderson United States Ralph D. Sanderson's profile →
Citations per field
00.5×1.5×
Ralph D. Sanderson · 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 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006460
2 2001270
3 2007235
4 2006210
5 2003200
6 2011200
7 2004199
8 2004199
9 2009187
10 2016185
11 2016178
12 2004157
13 2010145
14 2005143
15
Heparanase affects adhesive and tumorigenic potential of human glioma cells.
2003137
16 2015134
17 2001120
18 2012117
19 2006115
20 2010115

About Neta Ilan

Neta Ilan is a scholar working on Cell Biology, Molecular Biology, Hematology, Organic Chemistry and Immunology and Allergy, having authored 158 papers that have together received 8.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (132 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 (6.0k citations), Immunology and Allergy (676 citations), Hematology (841 citations), Molecular Biology (5.2k citations) and Cancer Research (994 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 Victoria Cohen‐Kaplan. 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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