Stanley Fields
Impact in
- Aging top 0.02%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 0.05%
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Protein Structure and Dynamics
Papers in
-
- RNA and protein synthesis mechanisms 63
- 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 16
- Genetics 26
- Co-authors
- Ok-Kyu Song (1 shared paper)Paul L. Bartel (6 shared papers)Douglas M. Fowler (11 shared papers)Rolf Sternglanz (2 shared papers)Peter Uetz (7 shared papers)Matt Kaeberlein (9 shared papers)Brian K. Kennedy (9 shared papers)Eric M. Phizicky (7 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (15 papers)Molecular and Cellular Biology (11 papers)Nature Methods (9 papers)Science (7 papers)Nature (7 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Stanley Fields
184 papers receiving 32.8k citations
Stanley Fields's Hit Papers
Peers
Comparison fields: 5 of 191
- Aging 2.5k
- Molecular Biology 27.1k
- Geriatrics and Gerontology 882
- Cell Biology 3.8k
- Genetics 3.0k
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-authors
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
Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A novel genetic system to detect protein–protein interactions Hit paper breakdown → | 1989 | 4829 |
| 2 | A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae Hit paper breakdown → | 2000 | 3582 |
| 3 | Comparative assessment of large-scale data sets of protein–protein interactions Hit paper breakdown → | 2002 | 1729 |
| 4 | The two-hybrid system: a method to identify and clone genes for proteins that interact with a protein of interest. Hit paper breakdown → | 1991 | 1226 |
| 5 | Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients Hit paper breakdown → | 2005 | 1020 |
| 6 | A network of protein–protein interactions in yeast Hit paper breakdown → | 2000 | 957 |
| 7 | Deep mutational scanning: a new style of protein science Hit paper breakdown → | 2014 | 776 |
| 8 | A three-dimensional model of the yeast genome Hit paper breakdown → | 2010 | 757 |
| 9 | Extension of chronological life span in yeast by decreased TOR pathway signaling Hit paper breakdown → | 2006 | 744 |
| 10 | Presence of a Potent Transcription Activating Sequence in the p53 Protein Hit paper breakdown → | 1990 | 696 |
| 11 | Protein-protein interactions: methods for detection and analysis Hit paper breakdown → | 1995 | 610 |
| 12 | Substrate-specific Activation of Sirtuins by Resveratrol Hit paper breakdown → | 2005 | 605 |
| 13 | A Combined Experimental and Computational Strategy to Define Protein Interaction Networks for Peptide Recognition Modules Hit paper breakdown → | 2002 | 554 |
| 14 | The two-hybrid system: an assay for protein-protein interactions Hit paper breakdown → | 1994 | 512 |
| 15 | Global analysis of phosphorylation and ubiquitylation cross-talk in protein degradation Hit paper breakdown → | 2013 | 485 |
| 16 | 2003 | 481 | |
| 17 | 1997 | 436 | |
| 18 | 2009 | 430 | |
| 19 | 1996 | 405 | |
| 20 | High-resolution mapping of protein sequence-function relationships Hit paper breakdown → | 2010 | 388 |
About Stanley Fields
Stanley Fields is a scholar working on Molecular Biology, Genetics, Cell Biology, Plant Science and Oncology, having authored 186 papers that have together received 33.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (63 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 (16 papers). The work is most often cited by research in Aging (2.5k citations), Molecular Biology (27.1k citations), Geriatrics and Gerontology (882 citations), Cell Biology (3.8k citations) and Genetics (3.0k citations). Stanley Fields has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ok-Kyu Song, Paul L. Bartel, Douglas M. Fowler, Rolf Sternglanz, Peter Uetz, Matt Kaeberlein, Brian K. Kennedy, Eric M. Phizicky, Sung Key Jang and Cheng‐Ting Chien. 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.