Stanley Fields
- Aging top 0.02%
- Molecular Biology top 0.05%
- RNA and protein synthesis mechanisms 64
- Fungal and yeast genetics research 60
- RNA Research and Splicing 26
- Bioinformatics and Genomic Networks 22
- Genomics and Chromatin Dynamics 18
- RNA modifications and cancer 18
- CRISPR and Genetic Engineering 17
- Ubiquitin and proteasome pathways 17
- Cell Biology top 0.1%
- Geriatrics and Gerontology top 0.2%
- Genetics top 0.2%
- Co-authors
- Paul L. BartelDouglas M. FowlerPeter UetzRolf SternglanzMatt KaeberleinBrian K. KennedyEric M. PhizickySung Key Jang
- Cited by
- AgingMolecular BiologyCell Biology
- Journals
- Proceedings of the National Academy of Sciences (15 papers)Molecular and Cellular Biology (11 papers)Nature Methods (9 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Stanley Fields
185 papers receiving 32.6k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Aging 2.5k
- Molecular Biology 27.8k
- Cell Biology 3.9k
- Geriatrics and Gerontology 890
- Genetics 3.2k
Countries citing papers authored by Stanley Fields
This map shows the geographic impact of Stanley Fields'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 Stanley Fields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley Fields more than expected).
Fields of papers citing papers by Stanley Fields
This network shows the impact of papers produced by Stanley Fields. 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 Stanley Fields. The network helps show where Stanley Fields may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stanley Fields, 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 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 13 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 131 | |
| 10 | 2020 | 67 | |
| 11 | 2019 | 7 | |
| 12 | 2018 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2013 | 127 | |
| 15 | 2011 | 15 | |
| 16 | 2010 | 14 | |
| 17 | Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrientsbreakdown → | 2005 | 1015 |
| 18 | 2005 | 202 | |
| 19 | 1999 | 32 | |
| 20 | 1987 | 65 |
About Stanley Fields
Stanley Fields is a scholar working on Aging, Molecular Biology, Geriatrics and Gerontology, Cell Biology and Genetics, having authored 186 papers that have together received 33.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (64 papers), Fungal and yeast genetics research (60 papers), RNA Research and Splicing (26 papers), Bioinformatics and Genomic Networks (22 papers), Genomics and Chromatin Dynamics (18 papers), RNA modifications and cancer (18 papers), CRISPR and Genetic Engineering (17 papers) and Ubiquitin and proteasome pathways (17 papers). The work is most often cited by research in Aging (2.5k citations), Molecular Biology (27.8k citations), Cell Biology (3.9k citations), Geriatrics and Gerontology (890 citations) and Genetics (3.2k citations). Stanley Fields has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul L. Bartel, Douglas M. Fowler, Peter Uetz, Rolf Sternglanz, Matt Kaeberlein, Brian K. Kennedy, Eric M. Phizicky, Sung Key Jang, Cheng‐Ting Chien and Benno Schwikowski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Nature Methods, Science 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.