Hava Yahav

1.2k total citations
10 papers, 922 citations indexed

About

Hava Yahav is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hava Yahav has authored 10 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hava Yahav's work include Angiogenesis and VEGF in Cancer (6 papers), Coronary Interventions and Diagnostics (4 papers) and Cell Adhesion Molecules Research (2 papers). Hava Yahav is often cited by papers focused on Angiogenesis and VEGF in Cancer (6 papers), Coronary Interventions and Diagnostics (4 papers) and Cell Adhesion Molecules Research (2 papers). Hava Yahav collaborates with scholars based in Israel, United States and Australia. Hava Yahav's co-authors include Nitzan Resnick, Shay Schubert, Efrat Wolfovitz, Ferruccio Breviario, Elisabetta Dejana, Keith R. Anderson, Tucker Collins, Levon M. Khachigian, M A Gimbrone and Ofer Binah and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and Journal of Leukocyte Biology.

In The Last Decade

Hava Yahav

10 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hava Yahav Israel 7 410 210 197 147 137 10 922
Charles R. White United States 16 301 0.7× 178 0.8× 173 0.9× 185 1.3× 151 1.1× 21 919
Hans-J. Schnittler Germany 9 421 1.0× 125 0.6× 374 1.9× 116 0.8× 113 0.8× 11 982
Yvonne A. Birney Ireland 17 511 1.2× 145 0.7× 132 0.7× 72 0.5× 144 1.1× 19 1.0k
Kazuhiro Kobuke Japan 18 503 1.2× 272 1.3× 145 0.7× 192 1.3× 210 1.5× 52 1.3k
Bao‐Rong Shen China 17 474 1.2× 146 0.7× 253 1.3× 93 0.6× 65 0.5× 21 865
Nathaniel G. dela Paz United States 11 364 0.9× 102 0.5× 148 0.8× 60 0.4× 112 0.8× 12 767
Susan McCormick United States 11 355 0.9× 174 0.8× 132 0.7× 56 0.4× 187 1.4× 18 836
Masanori Kabuto Japan 22 325 0.8× 235 1.1× 96 0.5× 57 0.4× 180 1.3× 93 1.7k
Kate M. Herum Norway 13 388 0.9× 240 1.1× 239 1.2× 422 2.9× 103 0.8× 19 971
L. Jahn Germany 11 698 1.7× 190 0.9× 252 1.3× 426 2.9× 82 0.6× 17 1.2k

Countries citing papers authored by Hava Yahav

Since Specialization
Citations

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

Fields of papers citing papers by Hava Yahav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hava Yahav

This figure shows the co-authorship network connecting the top 25 collaborators of Hava Yahav. A scholar is included among the top collaborators of Hava Yahav 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 Hava Yahav. Hava Yahav 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.
Barac, Yaron D., Hava Yahav, Efrat Wolfovitz, et al.. (2009). Shear stress-induced transcriptional regulation via hybrid promoters as a potential tool for promoting angiogenesis. Angiogenesis. 12(3). 231–242. 18 indexed citations
2.
Resnick, Nitzan, et al.. (2003). Fluid shear stress and the vascular endothelium: for better and for worse. Progress in Biophysics and Molecular Biology. 81(3). 177–199. 427 indexed citations
3.
Resnick, Nitzan, et al.. (2003). Hemodynamic Forces as a Stimulus for Arteriogenesis. Endothelium. 10(4-5). 197–206. 32 indexed citations
4.
Resnick, Nitzan, et al.. (2003). Hemodynamic Forces as a Stimulus for Arteriogenesis. Endothelium. 10(4). 197–206. 5 indexed citations
5.
Yahav, Hava, et al.. (2003). Transcriptional and post‐translation regulation of the Tiel receptor by fluid shear stress changes in vascular endothelial cells. The FASEB Journal. 17(14). 1–21. 47 indexed citations
6.
Wolfovitz, Efrat, et al.. (2002). VEGF receptor 2 and the adherens junction as a mechanical transducer in vascular endothelial cells. Proceedings of the National Academy of Sciences. 99(14). 9462–9467. 263 indexed citations
7.
Resnick, Nitzan, et al.. (2000). Signalling pathways in vascular endothelium activated by shear stress: relevance to atherosclerosis. Current Opinion in Lipidology. 11(2). 167–177. 39 indexed citations
8.
Resnick, Nitzan, Hava Yahav, Levon M. Khachigian, et al.. (1997). Endothelial Gene Regulation by Laminar Shear Stress. Advances in experimental medicine and biology. 430. 155–164. 84 indexed citations
9.
Ginsburg, Haim, et al.. (1993). Secretion of two different flowing masses by lymphokine-activated killer cells.. PubMed. 12(1). 25–34. 3 indexed citations
10.
Ginsburg, Haim, et al.. (1990). Secretion of Mucoid Material by Lymphokine-Activated Killer Cells: Study by Light and Electron Microscopy. Journal of Leukocyte Biology. 47(5). 393–408. 4 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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