Tova Chajek-Shaul

1.1k total citations
22 papers, 848 citations indexed

About

Tova Chajek-Shaul is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tova Chajek-Shaul has authored 22 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tova Chajek-Shaul's work include Proteoglycans and glycosaminoglycans research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Fibroblast Growth Factor Research (2 papers). Tova Chajek-Shaul is often cited by papers focused on Proteoglycans and glycosaminoglycans research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Fibroblast Growth Factor Research (2 papers). Tova Chajek-Shaul collaborates with scholars based in Israel, United States and Poland. Tova Chajek-Shaul's co-authors include Shula Metzger, David Planer, Shulamit Metzger, Galia Luboshits, Gad Keren, Ronny Alcalai, Jacob George, Shimon Rosenheck, Vardiella Meiner and Adi Mor and has published in prestigious journals such as New England Journal of Medicine, Journal of the American College of Cardiology and Biochemistry.

In The Last Decade

Tova Chajek-Shaul

21 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tova Chajek-Shaul Israel 12 295 280 206 188 115 22 848
J A Koedam Netherlands 14 182 0.6× 219 0.8× 47 0.2× 69 0.4× 26 0.2× 19 1.1k
Zipora Shlomai Israel 11 127 0.4× 295 1.1× 54 0.3× 53 0.3× 133 1.2× 18 576
Gary S. Shapiro United States 15 122 0.4× 274 1.0× 42 0.2× 85 0.5× 55 0.5× 26 1.2k
Marta Colletti Italy 18 143 0.5× 506 1.8× 38 0.2× 36 0.2× 111 1.0× 29 893
S. Gay Switzerland 14 231 0.8× 344 1.2× 43 0.2× 26 0.1× 37 0.3× 20 903
Jennichjen Slomp Netherlands 11 55 0.2× 193 0.7× 70 0.3× 30 0.2× 89 0.8× 22 557
Imran Ahmad Canada 15 92 0.3× 323 1.2× 389 1.9× 24 0.1× 129 1.1× 92 1.1k
Yasuo Hirayama Japan 15 260 0.9× 332 1.2× 33 0.2× 31 0.2× 41 0.4× 61 1.3k
E Larsson Sweden 15 339 1.1× 139 0.5× 30 0.1× 25 0.1× 38 0.3× 45 1000
Sarah Chu United States 11 205 0.7× 454 1.6× 38 0.2× 55 0.3× 154 1.3× 17 1.3k

Countries citing papers authored by Tova Chajek-Shaul

Since Specialization
Citations

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

Fields of papers citing papers by Tova Chajek-Shaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tova Chajek-Shaul. 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 Tova Chajek-Shaul. The network helps show where Tova Chajek-Shaul may publish in the future.

Co-authorship network of co-authors of Tova Chajek-Shaul

This figure shows the co-authorship network connecting the top 25 collaborators of Tova Chajek-Shaul. A scholar is included among the top collaborators of Tova Chajek-Shaul 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 Tova Chajek-Shaul. Tova Chajek-Shaul 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
1.
Chajek-Shaul, Tova, et al.. (2009). Biomarkers in Behçet’s disease: diagnosis and disease activity. International Journal of Clinical Rheumatology. 4(3). 271–286. 6 indexed citations
2.
Leibowitz, David, et al.. (2007). Brain Natriuretic Peptide Levels Predict Perioperative Events in Cardiac Patients Undergoing Noncardiac Surgery: A Prospective Study. Cardiology. 110(4). 266–270. 34 indexed citations
3.
Mor, Adi, David Planer, Galia Luboshits, et al.. (2007). Role of Naturally Occurring CD4 + CD25 + Regulatory T Cells in Experimental Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 27(4). 893–900. 276 indexed citations
4.
5.
Planer, David, Shula Metzger, Eyal Zcharia, et al.. (2006). Th-W48:2 Heparanase and atherosclerosis: Lessons from transgenic mice over-expressing the human heparanase gene. Atherosclerosis Supplements. 7(3). 463–463. 1 indexed citations
6.
Hochner‐Celnikier, Drorith, et al.. (2005). Gender gap in cerebrovascular accidents: comparison of the extent, severity, and risk factors in men and women aged 45-65.. PubMed. 50(3). 122–8. 15 indexed citations
7.
8.
Cukierman, Tali, Moshe E. Gatt, Nurith Hiller, & Tova Chajek-Shaul. (2005). A Fractured Diagnosis. New England Journal of Medicine. 353(5). 509–514. 5 indexed citations
9.
Harats, Dror, Eyal Leibovitz, Maximo Maislos, et al.. (2005). Cardiovascular risk assessment and treatment to target low density lipoprotein levels in hospitalized ischemic heart disease patients: results of the HOLEM study.. PubMed. 7(6). 355–9. 6 indexed citations
10.
Elinav, Eran, et al.. (2004). Does any lower gastrointestinal bleeding in patients suffering from hereditary hemorrhagic telangiectasia (Osler?Weber?Rendu) necessitate a full colonic visualization?. International Journal of Colorectal Disease. 19(6). 595–598. 2 indexed citations
11.
Alcalai, Ronny, Shulamit Metzger, Shimon Rosenheck, Vardiella Meiner, & Tova Chajek-Shaul. (2003). A recessive mutation in desmoplakin causes arrhythmogenic right ventricular dysplasia, skin disorder, and woolly hair. Journal of the American College of Cardiology. 42(2). 319–327. 173 indexed citations
12.
Ben‐Chetrit, Eldad, et al.. (2002). Familial mediterranean fever and Behçet's disease--are they associated?. PubMed. 29(3). 530–4. 45 indexed citations
13.
Nir‐Paz, Ran, et al.. (2002). Sex differences in giant cell arteritis.. PubMed. 29(6). 1219–23. 14 indexed citations
14.
Vlodavsky, Israël, Orit Goldshmidt, Eyal Zcharia, et al.. (2001). Molecular properties and involvement of heparanase in cancer progression and normal development. Biochimie. 83(8). 831–839. 50 indexed citations
15.
Zcharia, Eyal, Shula Metzger, Tova Chajek-Shaul, et al.. (2001). Molecular Properties and Involvement of Heparanase in Cancer Progression and Mammary Gland Morphogenesis. Journal of Mammary Gland Biology and Neoplasia. 6(3). 311–322. 61 indexed citations
16.
Yossepowitch, Ofer, et al.. (1997). Resistance to activated protein C: arterial thrombosis associated with autoimmune features.. PubMed. 2(8). 355–7. 1 indexed citations
17.
Ishai-Michaeli, Rivka, Carl M. Svahn, Michael Weber, et al.. (1992). Importance of size and sulfation of heparin in release of basic fibroblast growth factor from the vascular endothelium and extracellular matrix. Biochemistry. 31(7). 2080–2088. 78 indexed citations
18.
Caraco, Yoseph & Tova Chajek-Shaul. (1989). The Incidence and Clinical Significance of Amiodarone and Acenocoumarol Interaction. Thrombosis and Haemostasis. 62(3). 906–908. 8 indexed citations
19.
Chajek-Shaul, Tova, Ehud Ziv, Gideon Friedman, J Etienne, & J. H. Adler. (1988). Regulation of lipoprotein lipase activity in the sand rat: Effect of nutritional state and cAMP modulation. Metabolism. 37(12). 1152–1158. 12 indexed citations
20.
Gavish, Dov, Yosef Kleinman, Abraham Morag, & Tova Chajek-Shaul. (1983). Hepatitis and jaundice associated with measles in young adults. An analysis of 65 cases.. PubMed. 143(4). 674–7. 35 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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