Tommy Kaplan
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 28
- Epigenetics and DNA Methylation 10
- RNA and protein synthesis mechanisms 9
- Genomics and Phylogenetic Studies 8
- RNA Research and Splicing 8
- RNA modifications and cancer 5
- Machine Learning in Bioinformatics 4
- Genetics 14
- Co-authors
- Nir FriedmanOliver J. RandoStephen BuratowskiMichael B. EisenMelissa M. HarrisonXiaoyong LiAviv RegevNaomi Habib
- Journals
- PLoS Genetics (5 papers)Nature Communications (4 papers)Nucleic Acids Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)eLife (3 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Tommy Kaplan
56 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 3.6k
- Neurology 379
- Biological Psychiatry 96
- Aging 46
- Genetics 504
Countries citing papers authored by Tommy Kaplan
This map shows the geographic impact of Tommy Kaplan'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 Tommy Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tommy Kaplan more than expected).
Fields of papers citing papers by Tommy Kaplan
This network shows the impact of papers produced by Tommy Kaplan. 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 Tommy Kaplan. The network helps show where Tommy Kaplan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tommy Kaplan, 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 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 6 | |
| 5 | Disease-associated astrocytes in Alzheimer’s disease and aging Hit paper breakdown → | 2020 | 587 |
| 6 | 2020 | 3 | |
| 7 | 2019 | 37 | |
| 8 | 2018 | 21 | |
| 9 | 2017 | 19 | |
| 10 | 2015 | 122 | |
| 11 | 2013 | 69 | |
| 12 | 2012 | 7 | |
| 13 | 2011 | 52 | |
| 14 | 2011 | 244 | |
| 15 | 2011 | 121 | |
| 16 | 2011 | 202 | |
| 17 | 2008 | 179 | |
| 18 | 2007 | 435 | |
| 19 | 2005 | 401 | |
| 20 | 2004 | 23 |
About Tommy Kaplan
Tommy Kaplan is a scholar working on Molecular Biology, Genetics, Developmental Biology, Biological Psychiatry and Cancer Research, having authored 56 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (28 papers), Epigenetics and DNA Methylation (10 papers), RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (8 papers), RNA Research and Splicing (8 papers), Chromosomal and Genetic Variations (6 papers), RNA modifications and cancer (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Neurology (379 citations), Biological Psychiatry (96 citations), Aging (46 citations) and Genetics (504 citations). Tommy Kaplan has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Nir Friedman, Oliver J. Rando, Stephen Buratowski, Michael B. Eisen, Melissa M. Harrison, Xiaoyong Li, Aviv Regev, Naomi Habib, Min Kyu Kim and Michael F. Dion. Their work appears in journals such as PLoS Genetics, Nature Communications, Nucleic Acids Research, Proceedings of the National Academy of Sciences and eLife.
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.