Amir Mitchell
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Fungal and yeast genetics research
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Gut microbiota and health
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 4
- Melanoma and MAPK Pathways 3
- Genomics and Phylogenetic Studies 3
- Gut microbiota and health 3
- Gene Regulatory Network Analysis 3
- Genetics 10
- Evolution and Genetic Dynamics 7
- Co-authors
- Yitzhak Pilpel (4 shared papers)Avihu H. Yona (3 shared papers)Martin Kupiec (3 shared papers)Orna Dahan (4 shared papers)E. Dekel (2 shared papers)Bella Groisman (2 shared papers)Yair S. Manor (1 shared paper)Rebecca H. Herbst (1 shared paper)
- Journals
- Science (3 papers)Journal of Molecular Evolution (2 papers)eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Amir Mitchell
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Aging 34
- Molecular Biology 775
- Genetics 287
- Biophysics 44
- Cell Biology 95
Countries citing papers authored by Amir Mitchell
This map shows the geographic impact of Amir Mitchell'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 Amir Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Mitchell more than expected).
Fields of papers citing papers by Amir Mitchell
This network shows the impact of papers produced by Amir Mitchell. 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 Amir Mitchell. The network helps show where Amir Mitchell may publish in the future.
Co-authors
The 25 scholars most cited alongside Amir Mitchell, 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 | 2009 | 405 | |
| 2 | 2012 | 255 | |
| 3 | 2018 | 107 | |
| 4 | 2015 | 72 | |
| 5 | 2011 | 49 | |
| 6 | 2018 | 47 | |
| 7 | 2024 | 40 | |
| 8 | 2005 | 33 | |
| 9 | 2021 | 27 | |
| 10 | 2020 | 21 | |
| 11 | 2023 | 20 | |
| 12 | 2016 | 17 | |
| 13 | 2009 | 16 | |
| 14 | 2005 | 14 | |
| 15 | 2021 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 0 |
About Amir Mitchell
Amir Mitchell is a scholar working on Molecular Biology, Genetics, Ecology, Sociology and Political Science and Oncology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Bacteriophages and microbial interactions (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Melanoma and MAPK Pathways (3 papers), Genomics and Phylogenetic Studies (3 papers), Gut microbiota and health (3 papers), Gene Regulatory Network Analysis (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Aging (34 citations), Molecular Biology (775 citations), Genetics (287 citations), Biophysics (44 citations) and Cell Biology (95 citations). Amir Mitchell has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Yitzhak Pilpel, Avihu H. Yona, Martin Kupiec, Orna Dahan, E. Dekel, Bella Groisman, Yair S. Manor, Rebecca H. Herbst, Ping Wei and Wendell A. Lim. Their work appears in journals such as Science, Journal of Molecular Evolution, eLife, Proceedings of the National Academy of Sciences and Scientific Reports.
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.