Alexander Faerman
- Cancer Research top 5%
- Molecular Biology top 5%
- Muscle Physiology and Disorders 6
- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- RNA Interference and Gene Delivery 3
- Genetics top 5%
- Animal Genetics and Reproduction 13
- Virus-based gene therapy research 5
- Cell Biology top 5%
- Aging top 10%
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- Infant Nutrition and Health 4
- Co-authors
- Moshe ShaniElena FeinsteinRami SkaliterCharles P. EmersonTzipora ShoshaniHagar KalinskiPaz EinatDavid J. Goldhamer
- Partner nations
- IsraelUnited StatesRussia
In The Last Decade
Alexander Faerman
39 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 590
- Molecular Biology 2.0k
- Genetics 427
- Cell Biology 216
- Aging 23
Countries citing papers authored by Alexander Faerman
This map shows the geographic impact of Alexander Faerman'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 Alexander Faerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Faerman more than expected).
Fields of papers citing papers by Alexander Faerman
This network shows the impact of papers produced by Alexander Faerman. 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 Alexander Faerman. The network helps show where Alexander Faerman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander Faerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 126 | |
| 2 | 2010 | 1 | |
| 3 | Diabetes–Induced Abnormalities in Retinal Vascular Permeability (RVP) & Electroretinogram (ERG) Are Normalized in RTP801/REDD1 Knockout (KO) Mice | 2005 | 1 |
| 4 | 2003 | 16 | |
| 5 | 2002 | 479 | |
| 6 | 2002 | 315 | |
| 7 | 2001 | 53 | |
| 8 | 2001 | 116 | |
| 9 | 2000 | 105 | |
| 10 | 1999 | 16 | |
| 11 | 1997 | 7 | |
| 12 | 1996 | 3 | |
| 13 | 1995 | 43 | |
| 14 | 1995 | 19 | |
| 15 | 1994 | 27 | |
| 16 | 1993 | 25 | |
| 17 | 1993 | 16 | |
| 18 | 1992 | 123 | |
| 19 | 1988 | 9 | |
| 20 | 1987 | 66 |
About Alexander Faerman
Alexander Faerman is a scholar working on Genetics, Immunology and Allergy and Cancer Research, having authored 41 papers that have together received 2.8k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (13 papers), Muscle Physiology and Disorders (6 papers), Virus-based gene therapy research (5 papers), Infant Nutrition and Health (4 papers), CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cancer Research (590 citations), Molecular Biology (2.0k citations) and Genetics (427 citations). Alexander Faerman has collaborated with scholars based in Israel, United States and Russia. Frequent co-authors include Moshe Shani, Elena Feinstein, Rami Skaliter, Charles P. Emerson, Tzipora Shoshani, Hagar Kalinski, Paz Einat, David J. Goldhamer, Ayelet Chajut and Andrei V. Gudkov. Their work appears in journals such as Transgenic Research, Developmental Dynamics, Science, Investigative Ophthalmology & Visual Science and Developmental Biology.
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.