Eva Gak

1.4k total citations
30 papers, 1.1k citations indexed

About

Eva Gak is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Eva Gak has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 9 papers in Molecular Biology and 7 papers in Cognitive Neuroscience. Recurrent topics in Eva Gak's work include Genetics and Neurodevelopmental Disorders (11 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Autism Spectrum Disorder Research (7 papers). Eva Gak is often cited by papers focused on Genetics and Neurodevelopmental Disorders (11 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Autism Spectrum Disorder Research (7 papers). Eva Gak collaborates with scholars based in Israel, United States and Australia. Eva Gak's co-authors include Manuela Vecsler, Hillel Halkin, Ronen Loebstein, Shlomo Almog, Daniel Kurnik, Gideon Rechavi, Bruria Ben Zeev, Ninette Amariglio, Andrew M. Chan and William G. Taylor and has published in prestigious journals such as Blood, PLoS ONE and Neurology.

In The Last Decade

Eva Gak

30 papers receiving 1.0k citations

Peers

Eva Gak

GENET

MB

PHARM

CN

EDM

Derek Van Booven United States

Vidar M. Steen Norway

Sören Siegmund Germany

Jessica I. Cohen United States

Louise S. Merkens United States

Gerard Schellenberg United States

Xiaohong Yuan Japan

Lynn Yieh United States

Michael Rabbia United States

Taisuke Ohtsuki Japan

Derek Van Booven United States

Eva Gak

244 ×0.6

GENET

464 ×1.3

MB

148 ×0.4

PHARM

200 ×0.8

CN

27 ×0.2

EDM

Citations per year, relative to Eva Gak Eva Gak (= 1×) peers Derek Van Booven

Countries citing papers authored by Eva Gak

Since Specialization

Citations

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

Fields of papers citing papers by Eva Gak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Gak

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

All Works

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20 of 20 papers shown

1.

Korostishevsky, Michael, Daniel Kurnik, Eleni Aklillu, et al.. (2014). The VKORC1 Asp36Tyr variant and VKORC1 haplotype diversity in Ashkenazi and Ethiopian populations. Journal of Applied Genetics. 55(2). 163–171. 5 indexed citations

2.

Korostishevsky, Michael, Amos Frisch, Yoram Cohen, et al.. (2013). Association between a common CYP17A1 haplotype and anxiety in female anorexia nervosa. Archives of Women s Mental Health. 16(5). 423–428. 2 indexed citations

3.

Lubetsky, Aharon, Noa Markovits, Chun Li, et al.. (2012). Effect of the VKORC1 D36Y variant on warfarin dose requirement and pharmacogenetic dose prediction. Thrombosis and Haemostasis. 108(10). 781–788. 16 indexed citations

4.

Vecsler, Manuela, Bruria Ben Zeev, Igor Nudelman, et al.. (2011). Ex Vivo Treatment with a Novel Synthetic Aminoglycoside NB54 in Primary Fibroblasts from Rett Syndrome Patients Suppresses MECP2 Nonsense Mutations. PLoS ONE. 6(6). e20733–e20733. 42 indexed citations

5.

Inzelberg, Rivka, Moran Weinberger, & Eva Gak. (2011). Benign hereditary chorea: An update. Parkinsonism & Related Disorders. 17(5). 301–307. 40 indexed citations

6.

Vecsler, Manuela, Anthony Simon, Ninette Amariglio, Gideon Rechavi, & Eva Gak. (2010). MeCP2 deficiency down-regulates specific nuclear proteins that could be partially recovered by valproic acid in vitro. Epigenetics. 5(1). 61–67. 23 indexed citations

7.

Nissenkorn, Andreea, et al.. (2010). Epilepsy in Rett syndrome—The experience of a National Rett Center. Epilepsia. 51(7). 1252–1258. 68 indexed citations

8.

Mencarelli, Maria Antonietta, Ariele Spanhol-Rosseto, Rosangela Artuso, et al.. (2009). Novel FOXG1 mutations associated with the congenital variant of Rett syndrome. Journal of Medical Genetics. 47(1). 49–53. 74 indexed citations

9.

Vecsler, Manuela, Ronen Loebstein, Shlomo Almog, et al.. (2006). Combined genetic profiles of components and regulators of the vitamin K-dependent γ-carboxylation system affect individual sensitivity to warfarin. Thrombosis and Haemostasis. 95(2). 205–211. 128 indexed citations

10.

Loebstein, Ronen, Hillel Halkin, Manuela Vecsler, et al.. (2006). A coding VKORC1 Asp36Tyr polymorphism predisposes to warfarin resistance. Blood. 109(6). 2477–2480. 125 indexed citations

11.

Abuhatzira, Liron, Kirill Makedonski, Eva Gak, et al.. (2005). Splicing mutation associated with Rett syndrome and an experimental approach for genetic diagnosis. Human Genetics. 118(1). 91–98. 12 indexed citations

12.

Loebstein, Ronen, Manuela Vecsler, Daniel Kurnik, et al.. (2005). Common genetic variants of microsomal epoxide hydrolase affect warfarin dose requirements beyond the effect of cytochrome P450 2C9. Clinical Pharmacology & Therapeutics. 77(5). 365–372. 68 indexed citations

13.

Koronyo‐Hamaoui, Maya, Eva Gak, Dan J. Stein, et al.. (2004). CAG repeat polymorphism within the KCNN3 gene is a significant contributor to susceptibility to anorexia nervosa: A case‐control study of female patients and several ethnic groups in the Israeli Jewish population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 131B(1). 76–80. 15 indexed citations

14.

Ritsner, Michael S., Sharon Amir, Maya Koronyo‐Hamaoui, et al.. (2003). Association study of CAG repeats in the KCNN3 gene in Israeli patients with major psychosis. Psychiatric Genetics. 13(3). 143–150. 5 indexed citations

15.

Koronyo‐Hamaoui, Maya, Y Danziger, Amos Frisch, et al.. (2002). Association between anorexia nervosa and the hsKCa3 gene: a family-based and case control study. Molecular Psychiatry. 7(1). 82–85. 36 indexed citations

16.

Koronyo‐Hamaoui, Maya, Y Danziger, Amos Frisch, et al.. (2002). Association between anorexia nervosa and the hsKCa3 gene: a family-based and case control study. Molecular Psychiatry. 7(1). 82–85. 5 indexed citations

17.

Berkenstadt, Michal, et al.. (2000). Screening for fragile X syndrome in women of reproductive age. Prenatal Diagnosis. 20(8). 611–614. 97 indexed citations

18.

Barkai, Gad, et al.. (1997). No founder effect detected in Jewish Ashkenazi patients with fragile-X syndrome. Human Genetics. 101(2). 186–189. 8 indexed citations

19.

Gak, Eva, William G. Taylor, Andrew M. Chan, & Jeffrey S. Rubin. (1992). Processing of hepatocyte growth factor to the heterodimeric form is required for biological activity. FEBS Letters. 311(1). 17–21. 78 indexed citations

20.

Gak, Eva, A. Yaniv, M. Ianconescu, Steven R. Tronick, & Arnona Gazit. (1990). An in-vivo infectivity assay for cloned retroviruses lacking a susceptible cell culture. Journal of Virological Methods. 28(2). 147–154. 3 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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