Neta Ilan

10.0k total citations
156 papers, 8.4k citations indexed

About

Neta Ilan is a scholar working on Cell Biology, Molecular Biology and Hematology. According to data from OpenAlex, Neta Ilan has authored 156 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Cell Biology, 131 papers in Molecular Biology and 19 papers in Hematology. Recurrent topics in Neta Ilan's work include Proteoglycans and glycosaminoglycans research (132 papers), Glycosylation and Glycoproteins Research (89 papers) and Fibroblast Growth Factor Research (61 papers). Neta Ilan is often cited by papers focused on Proteoglycans and glycosaminoglycans research (132 papers), Glycosylation and Glycoproteins Research (89 papers) and Fibroblast Growth Factor Research (61 papers). Neta Ilan collaborates with scholars based in Israel, United States and Sweden. Neta Ilan's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Neta Ilan

154 papers receiving 8.3k citations

Peers

Neta Ilan
Comparison fields: 5 of 115
  • Cell Biology 6.0k
  • Molecular Biology 5.8k
  • Cancer Research 1.1k
  • Oncology 1.0k
  • Hematology 959
Replace Ralph D. Sanderson with:
Ralph D. Sanderson United States
Gregory David United States
Eyal Zcharia Israel
Åke Wasteson Sweden
Craig Freeman Australia
Yuen Shing United States
Edward B. Leof United States
Kaoru Miyazaki Japan
Thomas Maciag United States
Judith A. Abraham United States
Ralph D. Sanderson United States View profile →
Citations per field, relative to Neta Ilan
Neta Ilan · 1×
Citations per year, relative to Neta Ilan
Neta Ilan · 1×

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-authorship network of co-authors of Neta Ilan

This figure shows the co-authorship network connecting the top 25 collaborators of Neta Ilan. A scholar is included among the top collaborators of Neta Ilan 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 Neta Ilan. Neta Ilan 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
# Work Indexed citations
1 1
2 4
3 4
4 21
5 9
6 15
7 24
8 34
9 38
10 52
11 35
12 89
13 60
14 130
15 61
16 46
17 84
18 82
19 208
20
Heparanase affects adhesive and tumorigenic potential of human glioma cells.
136

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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