Ami Aronheim
- Cell Biology top 1%
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 15
- Melanoma and MAPK Pathways 9
- Signaling Pathways in Disease 8
- Ubiquitin and proteasome pathways 7
- CRISPR and Genetic Engineering 6
- Oncology top 5%
- Peptidase Inhibition and Analysis 6
- Cancer-related Molecular Pathways 6
- Genetics top 5%
- Immunology top 10%
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- Cardiac Fibrosis and Remodeling 11
- Co-authors
- Michael KarinSigal KatzEbrahim ZandiStephen J. ElledgeHanjo HennemannXin YuRichard BaerLeeju C. Wu
- Journals
- Journal of Biological Chemistry (8 papers)Nucleic Acids Research (7 papers)Molecular and Cellular Biology (6 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Ami Aronheim
78 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 104
- Cell Biology 838
- Molecular Biology 3.0k
- Oncology 553
- Genetics 552
- Immunology 404
Countries citing papers authored by Ami Aronheim
This map shows the geographic impact of Ami Aronheim'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 Ami Aronheim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ami Aronheim more than expected).
Fields of papers citing papers by Ami Aronheim
This network shows the impact of papers produced by Ami Aronheim. 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 Ami Aronheim. The network helps show where Ami Aronheim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ami Aronheim, 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 | 2023 | 4 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 77 | |
| 7 | 2019 | 21 | |
| 8 | 2018 | 3 | |
| 9 | 2013 | 17 | |
| 10 | 2010 | 37 | |
| 11 | 2010 | 31 | |
| 12 | 2009 | 72 | |
| 13 | 2009 | 38 | |
| 14 | 2004 | 56 | |
| 15 | 2002 | 91 | |
| 16 | 2001 | 55 | |
| 17 | 2001 | 24 | |
| 18 | 1994 | 391 | |
| 19 | 1992 | 20 | |
| 20 | 1990 | 23 |
About Ami Aronheim
Ami Aronheim is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Oncology and Cancer Research, having authored 80 papers that have together received 3.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (15 papers), Cardiac Fibrosis and Remodeling (11 papers), Melanoma and MAPK Pathways (9 papers), Signaling Pathways in Disease (8 papers), Ubiquitin and proteasome pathways (7 papers), CRISPR and Genetic Engineering (6 papers), Peptidase Inhibition and Analysis (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cell Biology (838 citations), Molecular Biology (3.0k citations), Oncology (553 citations), Genetics (552 citations) and Immunology (404 citations). Ami Aronheim has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Michael Karin, Sigal Katz, Ebrahim Zandi, Stephen J. Elledge, Hanjo Hennemann, Xin Yu, Richard Baer, Leeju C. Wu, A. Bowcock and Joseph Schlessinger. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Molecular and Cellular Biology, Biochemical Journal and International Journal of Cardiology.
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.