Frederick J. Tan
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
-
- CRISPR and Genetic Engineering 6
- Mitochondrial Function and Pathology 4
- DNA Repair Mechanisms 3
- Photosynthetic Processes and Mechanisms 3
- ATP Synthase and ATPases Research 3
-
- Chromosomal and Genetic Variations 4
- Co-authors
- Andrew Fire (4 shared papers)Douglas Koshland (3 shared papers)Lamia Wahba (1 shared paper)Anjali D. Zimmer (1 shared paper)Lorenzo Costantino (1 shared paper)Daniel P. Riordan (1 shared paper)Heather McCullough (1 shared paper)Steven Johnson (1 shared paper)
- Journals
- PLoS Genetics (4 papers)Frontiers in Oncology (1 paper)Journal of Cell Science (1 paper)Genetics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Frederick J. Tan
16 papers receiving 768 citations
Peers
Comparison fields: 5 of 76
- Aging 60
- Molecular Biology 690
- Plant Science 159
- Genetics 107
- Cell Biology 49
Countries citing papers authored by Frederick J. Tan
This map shows the geographic impact of Frederick J. Tan'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 Frederick J. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick J. Tan more than expected).
Fields of papers citing papers by Frederick J. Tan
This network shows the impact of papers produced by Frederick J. Tan. 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 Frederick J. Tan. The network helps show where Frederick J. Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Frederick J. Tan, 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 | 2016 | 208 | |
| 2 | 2006 | 148 | |
| 3 | 2017 | 78 | |
| 4 | 2018 | 54 | |
| 5 | 2007 | 53 | |
| 6 | 2006 | 52 | |
| 7 | 2010 | 51 | |
| 8 | 2008 | 37 | |
| 9 | 2020 | 28 | |
| 10 | 2019 | 24 | |
| 11 | 2007 | 23 | |
| 12 | 2012 | 9 | |
| 13 | 2010 | 5 | |
| 14 | Motif- and expression-based classification of DNA | 2001 | 3 |
| 15 | 2023 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 |
About Frederick J. Tan
Frederick J. Tan is a scholar working on Molecular Biology, Plant Science, Cell Biology, Aging and Surgery, having authored 17 papers that have together received 776 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Mitochondrial Function and Pathology (4 papers), Chromosomal and Genetic Variations (4 papers), DNA Repair Mechanisms (3 papers), Photosynthetic Processes and Mechanisms (3 papers), ATP Synthase and ATPases Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Aging (60 citations), Molecular Biology (690 citations), Plant Science (159 citations), Genetics (107 citations) and Cell Biology (49 citations). Frederick J. Tan has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Andrew Fire, Douglas Koshland, Lamia Wahba, Anjali D. Zimmer, Lorenzo Costantino, Daniel P. Riordan, Heather McCullough, Steven Johnson, R. Blake Hill and Rosa Alcazar. Their work appears in journals such as PLoS Genetics, Frontiers in Oncology, Journal of Cell Science, Genetics and Journal of Biological Chemistry.
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.