Amir Karger
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 2
- Pluripotent Stem Cells Research 1
- RNA and protein synthesis mechanisms 1
- Genomics and Phylogenetic Studies 1
-
- Neurogenesis and neuroplasticity mechanisms 1
- Co-authors
- Sarah A. Slavoff (1 shared paper)Adam G. Schwaid (1 shared paper)Alan Saghatelian (1 shared paper)Bogdan Budnik (1 shared paper)Jiao Ma (1 shared paper)John L. Rinn (1 shared paper)Joshua Z. Levin (1 shared paper)Moran N. Cabili (1 shared paper)
- Journals
- Science (2 papers)Genome Biology and Evolution (2 papers)Nature Communications (1 paper)Science Advances (1 paper)Nature (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Amir Karger
18 papers receiving 1.6k citations
Amir Karger's Hit Papers
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 36
- Cancer Research 151
- Molecular Biology 485
- Spectroscopy 82
- Aging 7
Countries citing papers authored by Amir Karger
This map shows the geographic impact of Amir Karger'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 Karger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Karger more than expected).
Fields of papers citing papers by Amir Karger
This network shows the impact of papers produced by Amir Karger. 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 Karger. The network helps show where Amir Karger may publish in the future.
Co-authors
The 25 scholars most cited alongside Amir Karger, 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 | Peptidomic discovery of short open reading frame–encoded peptides in human cells Hit paper breakdown → | 2012 | 517 |
| 2 | 2015 | 426 | |
| 3 | 2022 | 167 | |
| 4 | 2021 | 140 | |
| 5 | 2016 | 118 | |
| 6 | 2022 | 67 | |
| 7 | 2012 | 64 | |
| 8 | 2019 | 51 | |
| 9 | 2020 | 33 | |
| 10 | 2021 | 24 | |
| 11 | 2020 | 18 | |
| 12 | 2024 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2026 | 1 | |
| 18 | 2026 | 1 |
About Amir Karger
Amir Karger is a scholar working on Molecular Biology, Developmental Neuroscience, Paleontology, Genetics and Plant Science, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Pluripotent Stem Cells Research (1 paper), RNA and protein synthesis mechanisms (1 paper), Plant Molecular Biology Research (1 paper), Marine Invertebrate Physiology and Ecology (1 paper), Genomics and Phylogenetic Studies (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Developmental Neuroscience (36 citations), Cancer Research (151 citations), Molecular Biology (485 citations), Spectroscopy (82 citations) and Aging (7 citations). Amir Karger has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Sarah A. Slavoff, Adam G. Schwaid, Alan Saghatelian, Bogdan Budnik, Jiao Ma, John L. Rinn, Joshua Z. Levin, Moran N. Cabili, Semin Lee and Eunjung Lee. Their work appears in journals such as Science, Genome Biology and Evolution, Nature Communications, Science Advances and Nature.
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.