Eli E. Bar
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Hedgehog Signaling Pathway Studies 8
- Epigenetics and DNA Methylation 7
- Developmental Biology and Gene Regulation 4
- Fungal and yeast genetics research 3
- Genetics 18
- Glioma Diagnosis and Treatment 18
- Co-authors
- Charles G. Eberhart (27 shared papers)Alex Y. Lin (4 shared papers)William Matsui (2 shared papers)Karisa C. Schreck (7 shared papers)Aneeka Chaudhry (2 shared papers)Vasiliki Mahairaki (1 shared paper)Kah Jing Lim (6 shared papers)Xing Fan (2 shared papers)
- Journals
- Cancer Research (10 papers)Clinical Cancer Research (4 papers)Journal of Neuropathology & Experimental Neurology (3 papers)Oncotarget (3 papers)Neuro-Oncology (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Eli E. Bar
49 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 95
- Genetics 824
- Cancer Research 636
- Oncology 662
- Developmental Neuroscience 89
- Molecular Biology 1.5k
Countries citing papers authored by Eli E. Bar
This map shows the geographic impact of Eli E. Bar'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 Eli E. Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli E. Bar more than expected).
Fields of papers citing papers by Eli E. Bar
This network shows the impact of papers produced by Eli E. Bar. 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 Eli E. Bar. The network helps show where Eli E. Bar may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli E. Bar, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 486 | |
| 2 | 2010 | 281 | |
| 3 | 2011 | 178 | |
| 4 | 2008 | 175 | |
| 5 | 2010 | 143 | |
| 6 | 2011 | 137 | |
| 7 | 2011 | 113 | |
| 8 | 2010 | 92 | |
| 9 | 2012 | 89 | |
| 10 | 2007 | 83 | |
| 11 | 2017 | 82 | |
| 12 | 2013 | 63 | |
| 13 | 2014 | 59 | |
| 14 | 2012 | 58 | |
| 15 | 2014 | 55 | |
| 16 | 2018 | 50 | |
| 17 | 2009 | 49 | |
| 18 | 2014 | 48 | |
| 19 | 2017 | 48 | |
| 20 | 2012 | 45 |
About Eli E. Bar
Eli E. Bar is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Cellular and Molecular Neuroscience, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (18 papers), Cancer, Hypoxia, and Metabolism (9 papers), Hedgehog Signaling Pathway Studies (8 papers), Epigenetics and DNA Methylation (7 papers), Cancer Cells and Metastasis (5 papers), MicroRNA in disease regulation (5 papers), Developmental Biology and Gene Regulation (4 papers) and Fungal and yeast genetics research (3 papers). The work is most often cited by research in Genetics (824 citations), Cancer Research (636 citations), Oncology (662 citations), Developmental Neuroscience (89 citations) and Molecular Biology (1.5k citations). Eli E. Bar has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Charles G. Eberhart, Alex Y. Lin, William Matsui, Karisa C. Schreck, Aneeka Chaudhry, Vasiliki Mahairaki, Kah Jing Lim, Xing Fan, Peter C. Burger and Angelo L. Vescovi. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Journal of Neuropathology & Experimental Neurology, Oncotarget and Neuro-Oncology.
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.