Eva Gak
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
Papers in
- Genetics 14
- Genetics and Neurodevelopmental Disorders 11
- BRCA gene mutations in cancer 2
- Co-authors
- Manuela Vecsler (7 shared papers)Hillel Halkin (7 shared papers)Ronen Loebstein (7 shared papers)Shlomo Almog (4 shared papers)Daniel Kurnik (5 shared papers)Gideon Rechavi (6 shared papers)Bruria Ben Zeev (4 shared papers)Ninette Amariglio (4 shared papers)
- Journals
- Thrombosis and Haemostasis (2 papers)Blood (2 papers)Molecular Psychiatry (2 papers)Journal of Medical Genetics (2 papers)Human Genetics (2 papers)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Eva Gak
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Pharmacology 311
- Genetics 440
- Cognitive Neuroscience 204
- Hepatology 70
- Biochemistry 65
Countries citing papers authored by Eva Gak
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
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-authors
The 25 scholars most cited alongside Eva Gak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 136 | |
| 2 | 2006 | 131 | |
| 3 | 2000 | 105 | |
| 4 | 1992 | 80 | |
| 5 | 2009 | 77 | |
| 6 | 2005 | 71 | |
| 7 | 2010 | 71 | |
| 8 | 2009 | 68 | |
| 9 | 2011 | 44 | |
| 10 | 2011 | 43 | |
| 11 | 2002 | 38 | |
| 12 | 2008 | 35 | |
| 13 | Could the 185delAG BRCA1 mutation be an ancient Jewish mutation? | 1998 | 29 |
| 14 | 1997 | 28 | |
| 15 | 2010 | 27 | |
| 16 | 2007 | 20 | |
| 17 | 2012 | 18 | |
| 18 | 2004 | 16 | |
| 19 | 2006 | 15 | |
| 20 | 2009 | 14 |
About Eva Gak
Eva Gak is a scholar working on Genetics, Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism and Animal Science and Zoology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (11 papers), Pharmacogenetics and Drug Metabolism (6 papers), Hormonal Regulation and Hypertension (5 papers), Animal Virus Infections Studies (4 papers), Eating Disorders and Behaviors (3 papers), Autism Spectrum Disorder Research (3 papers), Plant Virus Research Studies (3 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Pharmacology (311 citations), Genetics (440 citations), Cognitive Neuroscience (204 citations), Hepatology (70 citations) and Biochemistry (65 citations). Eva Gak has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Manuela Vecsler, Hillel Halkin, Ronen Loebstein, Shlomo Almog, Daniel Kurnik, Gideon Rechavi, Bruria Ben Zeev, Ninette Amariglio, Gad Barkai and Andrew M. Chan. Their work appears in journals such as Thrombosis and Haemostasis, Blood, Molecular Psychiatry, Journal of Medical Genetics and Human Genetics.
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.