Ashkan Javaherian
- Biophysics top 1%
- Cell Image Analysis Techniques 3
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 3
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- Neuroscience and Neuropharmacology Research 3
- Molecular Biology top 10%
- RNA Research and Splicing 4
- Cancer Research top 10%
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- Neurogenetic and Muscular Disorders Research 3
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- Cancer Cells and Metastasis 3
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- Amyotrophic Lateral Sclerosis Research 3
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- Skin and Cellular Biology Research 2
- Co-authors
- Hollis T. ClineMarica GrškovićGeorge Q. DaleyBerta StruloviciArnold R. KriegsteinKurt HaasWun‐Chey SinZheng Li
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Ashkan Javaherian
18 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Biophysics 311
- Developmental Neuroscience 216
- Cellular and Molecular Neuroscience 446
- Molecular Biology 1.2k
- Cancer Research 193
Countries citing papers authored by Ashkan Javaherian
This map shows the geographic impact of Ashkan Javaherian'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 Ashkan Javaherian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashkan Javaherian more than expected).
Fields of papers citing papers by Ashkan Javaherian
This network shows the impact of papers produced by Ashkan Javaherian. 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 Ashkan Javaherian. The network helps show where Ashkan Javaherian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashkan Javaherian, 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 | 2021 | 17 | |
| 2 | 2021 | 12 | |
| 3 | 2021 | 23 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 198 | |
| 6 | 2019 | 24 | |
| 7 | In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Imagesbreakdown → | 2018 | 394 |
| 8 | 2014 | 120 | |
| 9 | 2013 | 153 | |
| 10 | 2011 | 360 | |
| 11 | 2009 | 108 | |
| 12 | 2005 | 109 | |
| 13 | 2003 | 3 | |
| 14 | 2001 | 280 | |
| 15 | 2001 | 33 | |
| 16 | 1999 | 45 | |
| 17 | 12-O-tetradecanoylphorbol-13-acetate induces clonal expansion of potentially malignant keratinocytes in a tissue model of early neoplastic progression. | 1999 | 34 |
| 18 | Normal keratinocytes suppress early stages of neoplastic progression in stratified epithelium. | 1998 | 61 |
About Ashkan Javaherian
Ashkan Javaherian is a scholar working on Developmental Neuroscience, Biophysics, Cellular and Molecular Neuroscience, Cell Biology and Genetics, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Cancer Cells and Metastasis (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Cell Image Analysis Techniques (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Biophysics (311 citations), Developmental Neuroscience (216 citations), Cellular and Molecular Neuroscience (446 citations), Molecular Biology (1.2k citations) and Cancer Research (193 citations). Ashkan Javaherian has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Hollis T. Cline, Marica Gršković, George Q. Daley, Berta Strulovici, Arnold R. Kriegstein, Kurt Haas, Wun‐Chey Sin, Zheng Li, Steven Finkbeiner and Jonathan A. Garlick. Their work appears in journals such as Neuron, Tissue Engineering, Nature Communications, RNA and Nature Reviews Drug Discovery.
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.