Niva Shraga‐Heled

900 total citations
10 papers, 742 citations indexed

About

Niva Shraga‐Heled is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Niva Shraga‐Heled has authored 10 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Niva Shraga‐Heled's work include Axon Guidance and Neuronal Signaling (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Lymphatic System and Diseases (4 papers). Niva Shraga‐Heled is often cited by papers focused on Axon Guidance and Neuronal Signaling (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Lymphatic System and Diseases (4 papers). Niva Shraga‐Heled collaborates with scholars based in Israel, United States and Germany. Niva Shraga‐Heled's co-authors include Ofra Kessler, Gera Neufeld, Noga Guttmann‐Raviv, Asya Varshavsky, Limor Baruch, Edmond Sabo, Marcelle Machluf, Hellmut G. Augustin, Claudia Prahst and Yael Herzog and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Scientific Reports.

In The Last Decade

Niva Shraga‐Heled

10 papers receiving 727 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Niva Shraga‐Heled Israel 7 590 502 180 134 76 10 742
David Goldschneider France 17 601 1.0× 215 0.4× 241 1.3× 137 1.0× 112 1.5× 25 868
Chana Weiss Israel 6 739 1.3× 539 1.1× 118 0.7× 343 2.6× 74 1.0× 6 959
Francesca Caccavari Italy 7 690 1.2× 523 1.0× 157 0.9× 346 2.6× 87 1.1× 8 949
Junia Y. Penachioni Italy 12 529 0.9× 287 0.6× 293 1.6× 180 1.3× 75 1.0× 17 926
Sofia Ioannidou United Kingdom 3 563 1.0× 165 0.3× 130 0.7× 244 1.8× 115 1.5× 4 760
Agnès Bernet France 20 1.1k 1.8× 851 1.7× 255 1.4× 351 2.6× 140 1.8× 29 1.5k
Sabrina Rizzolio Italy 11 619 1.0× 345 0.7× 323 1.8× 107 0.8× 237 3.1× 18 1.0k
Mayya Mériane France 10 693 1.2× 247 0.5× 69 0.4× 448 3.3× 54 0.7× 11 929
Alessandra Granata United Kingdom 12 389 0.7× 186 0.4× 56 0.3× 114 0.9× 65 0.9× 21 805
Ing-Ming Chiu United States 12 670 1.1× 98 0.2× 106 0.6× 189 1.4× 112 1.5× 13 894

Countries citing papers authored by Niva Shraga‐Heled

Since Specialization
Citations

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

Fields of papers citing papers by Niva Shraga‐Heled

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niva Shraga‐Heled. 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 Niva Shraga‐Heled. The network helps show where Niva Shraga‐Heled may publish in the future.

Co-authorship network of co-authors of Niva Shraga‐Heled

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

All Works

10 of 10 papers shown
1.
Betzer, Oshra, Niva Shraga‐Heled, Iris Gispan, et al.. (2022). Placenta-Derived Mesenchymal-like Adherent Stromal Cells as an Effective Cell Therapy for Cocaine Addiction in a Rat Model. Pharmaceutics. 14(7). 1311–1311. 3 indexed citations
2.
4.
Betzer, Oshra, Rinat Meir, Tamar Dreifuss, et al.. (2015). In-vitro Optimization of Nanoparticle-Cell Labeling Protocols for In-vivo Cell Tracking Applications. Scientific Reports. 5(1). 15400–15400. 61 indexed citations
5.
Shraga‐Heled, Niva, et al.. (2013). Prostaglandin receptor EP1-mediated differential degradation of cyclooxygenases involves a specific lysine residue. Biochemical and Biophysical Research Communications. 443(2). 738–742. 1 indexed citations
6.
Prahst, Claudia, Mélanie Héroult, Anthony A. Lanahan, et al.. (2008). Neuropilin-1-VEGFR-2 Complexing Requires the PDZ-binding Domain of Neuropilin-1. Journal of Biological Chemistry. 283(37). 25110–25114. 106 indexed citations
7.
Guttmann‐Raviv, Noga, et al.. (2007). Semaphorin-3A and Semaphorin-3F Work Together to Repel Endothelial Cells and to Inhibit Their Survival by Induction of Apoptosis. Journal of Biological Chemistry. 282(36). 26294–26305. 185 indexed citations
8.
Shraga‐Heled, Niva, Ofra Kessler, Claudia Prahst, et al.. (2006). Neuropilin‐1 and neuropilin‐2 enhance VEGF 121 stimulated signal transduction by the VEGFR‐2 receptor. The FASEB Journal. 21(3). 915–926. 53 indexed citations
9.
Guttmann‐Raviv, Noga, et al.. (2005). The neuropilins and their role in tumorigenesis and tumor progression. Cancer Letters. 231(1). 1–11. 119 indexed citations
10.
Kessler, Ofra, Niva Shraga‐Heled, Edmond Sabo, et al.. (2004). Semaphorin-3F Is an Inhibitor of Tumor Angiogenesis. Cancer Research. 64(3). 1008–1015. 195 indexed citations

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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