Neta Ilan
Impact in
- Cell Biology top 0.05%
- Proteoglycans and glycosaminoglycans research
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
Papers in
- Cell Biology 132
- Proteoglycans and glycosaminoglycans research 131
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- Glycosylation and Glycoproteins Research 78
- Fibroblast Growth Factor Research 53
- Wnt/β-catenin signaling in development and cancer 14
- Co-authors
- Israël Vlodavsky (137 shared papers)Michael Elkin (7 shared papers)Joseph A. Madri (7 shared papers)Ralph D. Sanderson (13 shared papers)Flonia Levy‐Adam (11 shared papers)Anna Zetser (8 shared papers)Itay Shafat (18 shared papers)Inna Naroditsky (22 shared papers)
- Journals
- The FASEB Journal (10 papers)Matrix Biology (8 papers)Journal of Biological Chemistry (8 papers)Cancer Research (8 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- IsraelUnited StatesSweden
In The Last Decade
Neta Ilan
154 papers receiving 8.5k citations
Peers
Comparison fields: 5 of 118
- Cell Biology 6.1k
- Immunology and Allergy 686
- Hematology 845
- Molecular Biology 5.2k
- Cancer Research 1.0k
Countries citing papers authored by Neta Ilan
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
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.
All Works
Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 459 | |
| 2 | 2001 | 272 | |
| 3 | 2007 | 233 | |
| 4 | 2006 | 209 | |
| 5 | 2004 | 202 | |
| 6 | 2011 | 201 | |
| 7 | 2004 | 199 | |
| 8 | 2003 | 198 | |
| 9 | 2016 | 192 | |
| 10 | 2009 | 190 | |
| 11 | 2016 | 184 | |
| 12 | 2004 | 155 | |
| 13 | 2010 | 144 | |
| 14 | 2005 | 142 | |
| 15 | Heparanase affects adhesive and tumorigenic potential of human glioma cells. | 2003 | 138 |
| 16 | 2015 | 136 | |
| 17 | 2001 | 119 | |
| 18 | 2010 | 118 | |
| 19 | 2006 | 117 | |
| 20 | 2012 | 116 |
About Neta Ilan
Neta Ilan is a scholar working on Cell Biology, Molecular Biology, Immunology and Allergy, Hematology and Cancer Research, having authored 157 papers that have together received 8.7k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (131 papers), Glycosylation and Glycoproteins Research (78 papers), Fibroblast Growth Factor Research (53 papers), Wnt/β-catenin signaling in development and cancer (14 papers), Cell Adhesion Molecules Research (13 papers), Carbohydrate Chemistry and Synthesis (13 papers), Platelet Disorders and Treatments (11 papers) and Protease and Inhibitor Mechanisms (11 papers). The work is most often cited by research in Cell Biology (6.1k citations), Immunology and Allergy (686 citations), Hematology (845 citations), Molecular Biology (5.2k citations) and Cancer Research (1.0k 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, Matrix Biology, Journal of Biological Chemistry, Cancer Research and Proceedings of the National Academy of Sciences.
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.