Stanley Fields

46.0k total citations · 18 hit papers
186 papers, 33.5k citations indexed

About

Stanley Fields is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Stanley Fields has authored 186 papers receiving a total of 33.5k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Molecular Biology, 29 papers in Genetics and 19 papers in Cell Biology. Recurrent topics in Stanley Fields's work include RNA and protein synthesis mechanisms (64 papers), Fungal and yeast genetics research (60 papers) and RNA Research and Splicing (26 papers). Stanley Fields is often cited by papers focused on RNA and protein synthesis mechanisms (64 papers), Fungal and yeast genetics research (60 papers) and RNA Research and Splicing (26 papers). Stanley Fields collaborates with scholars based in United States, Canada and United Kingdom. Stanley Fields's co-authors include Paul L. Bartel, Douglas M. Fowler, Rolf Sternglanz, Peter Uetz, Brian K. Kennedy, Matt Kaeberlein, Eric M. Phizicky, Sung Key Jang, Cheng‐Ting Chien and Benno Schwikowski and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Stanley Fields

185 papers receiving 32.6k citations

Hit Papers

A novel genetic system to detect protein–protein interact... 1989 2026 2001 2013 1989 2000 2002 1991 2005 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A novel genetic system to detect protein–protein interactions
    1989 4.8k citations Stanley Fields et al. profile →
  2. A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae
    2000 3.6k citations Stanley Fields et al. profile →
  3. Comparative assessment of large-scale data sets of protein–protein interactions
    2002 1.7k citations Stanley Fields et al. profile →
  4. The two-hybrid system: a method to identify and clone genes for proteins that interact with a protein of interest.
    1991 1.2k citations Paul L. Bartel, Stanley Fields et al. Proceedings of the National Academy of Sciences profile →
  5. Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients
    2005 1.0k citations Matt Kaeberlein, Ryan Powers et al. Science profile →
  6. A network of protein–protein interactions in yeast
    2000 953 citations Stanley Fields et al. profile →
  7. Deep mutational scanning: a new style of protein science
    2014 751 citations Douglas M. Fowler, Stanley Fields profile →
  8. A three-dimensional model of the yeast genome
    2010 750 citations Jay Shendure, Stanley Fields et al. profile →
  9. Extension of chronological life span in yeast by decreased TOR pathway signaling
    2006 741 citations Ryan Powers, Matt Kaeberlein et al. profile →
  10. Presence of a Potent Transcription Activating Sequence in the p53 Protein
    1990 699 citations Stanley Fields et al. Science profile →
  11. Protein-protein interactions: methods for detection and analysis
    1995 609 citations Stanley Fields et al. profile →
  12. Substrate-specific Activation of Sirtuins by Resveratrol
    2005 603 citations Matt Kaeberlein, Stanley Fields et al. Journal of Biological Chemistry profile →
  13. A Combined Experimental and Computational Strategy to Define Protein Interaction Networks for Peptide Recognition Modules
    2002 553 citations Stanley Fields et al. Science profile →
  14. The two-hybrid system: an assay for protein-protein interactions
    1994 510 citations Stanley Fields et al. Trends in Genetics profile →
  15. Global analysis of phosphorylation and ubiquitylation cross-talk in protein degradation
    2013 478 citations Lea M. Starita, Stanley Fields et al. profile →
  16. High-resolution mapping of protein sequence-function relationships
    2010 384 citations Douglas M. Fowler, Carlos L. Araya et al. profile →
  17. Dynamics of Gene Expression in Single Root Cells of Arabidopsis thaliana
    2019 274 citations Michael W. Dorrity, Kerry L. Bubb et al. The Plant Cell profile →
  18. Engineering an allosteric transcription factor to respond to new ligands
    2015 253 citations Noah D. Taylor, Stanley Fields et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stanley Fields United States 76 27.8k 3.9k 3.2k 2.9k 2.5k 186 33.5k
Marc Vidal United States 86 24.4k 0.9× 3.0k 0.8× 3.5k 1.1× 1.4k 0.5× 2.8k 1.1× 199 31.0k
Mike Tyers Canada 75 23.3k 0.8× 5.2k 1.4× 2.0k 0.6× 2.6k 0.9× 621 0.3× 187 27.4k
Kara Dolinski United States 31 28.8k 1.0× 1.7k 0.4× 4.6k 1.5× 3.8k 1.3× 517 0.2× 44 38.7k
Nevan J. Krogan United States 92 24.9k 0.9× 3.1k 0.8× 3.1k 1.0× 1.9k 0.7× 449 0.2× 319 30.0k
Catherine A. Ball United States 29 25.2k 0.9× 1.5k 0.4× 4.6k 1.5× 3.7k 1.3× 472 0.2× 48 35.3k
Wendell A. Lim United States 84 24.0k 0.9× 3.3k 0.9× 4.0k 1.3× 2.2k 0.8× 891 0.4× 162 30.8k
Janan T. Eppig United States 42 26.6k 1.0× 1.5k 0.4× 5.9k 1.9× 3.9k 1.3× 429 0.2× 109 37.4k
Martin Ringwald United States 29 24.5k 0.9× 1.6k 0.4× 4.2k 1.3× 3.5k 1.2× 366 0.1× 57 33.8k
Gary D. Bader Canada 69 22.9k 0.8× 2.1k 0.5× 2.7k 0.8× 1.4k 0.5× 373 0.2× 211 31.7k
Midori A. Harris United Kingdom 24 23.7k 0.9× 1.4k 0.3× 4.0k 1.3× 3.6k 1.2× 405 0.2× 44 32.8k

Countries citing papers authored by Stanley Fields

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Stanley Fields

This figure shows the co-authorship network connecting the top 25 collaborators of Stanley Fields. A scholar is included among the top collaborators of Stanley Fields based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stanley Fields. Stanley Fields is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jores, Tobias, Jackson Tonnies, Si Nian Char, et al.. (2025). Small DNA elements can act as both insulators and silencers in plants. The Plant Cell. 37(6). 2 indexed citations
2.
Lanoë, François, Joshua D. Reuther, Stanley Fields, et al.. (2024). Late Pleistocene onset of mutualistic human/canid ( Canis spp.) relationships in subarctic Alaska. Science Advances. 10(49). eads1335–eads1335. 2 indexed citations
3.
Jores, Tobias, Jackson Tonnies, Kerry L. Bubb, et al.. (2024). Arabidopsis and maize terminator strength is determined by GC content, polyadenylation motifs and cleavage probability. Nature Communications. 15(1). 5868–5868. 13 indexed citations
4.
Fernandez, Andres, et al.. (2022). Mapping functional regions of essential bacterial proteins with dominant-negative protein fragments. Proceedings of the National Academy of Sciences. 119(26). e2200124119–e2200124119. 2 indexed citations
5.
Fields, Stanley, et al.. (2021). Balance between promiscuity and specificity in phage λ host range. The ISME Journal. 15(8). 2195–2205. 11 indexed citations
6.
Kuang, Da, Jochen Weile, Nishka Kishore, et al.. (2021). MaveRegistry: a collaboration platform for multiplexed assays of variant effect. Bioinformatics. 37(19). 3382–3383. 16 indexed citations
7.
Jores, Tobias, Jackson Tonnies, Michael W. Dorrity, et al.. (2020). Identification of Plant Enhancers and Their Constituent Elements by STARR-seq in Tobacco Leaves. The Plant Cell. 32(7). 2120–2131. 67 indexed citations
8.
Zhou, Wei, Michael W. Dorrity, Kerry L. Bubb, Christine Queitsch, & Stanley Fields. (2019). Binding and Regulation of Transcription by Yeast Ste12 Variants To Drive Mating and Invasion Phenotypes. Genetics. 214(2). 397–407. 7 indexed citations
9.
Dorrity, Michael W., et al.. (2018). Preferences in a trait decision determined by transcription factor variants. Proceedings of the National Academy of Sciences. 115(34). E7997–E8006. 17 indexed citations
10.
Melamed, Daniel R., et al.. (2015). Combining Natural Sequence Variation with High Throughput Mutational Data to Reveal Protein Interaction Sites. PLoS Genetics. 11(2). e1004918–e1004918. 23 indexed citations
11.
Raman, Srivatsan, Noah D. Taylor, Naomi R. Genuth, Stanley Fields, & George M. Church. (2014). Engineering allostery. Trends in Genetics. 30(12). 521–528. 56 indexed citations
12.
Starita, Lea M., Jonathan N. Pruneda, Russell S. Lo, et al.. (2013). Activity-enhancing mutations in an E3 ubiquitin ligase identified by high-throughput mutagenesis. Proceedings of the National Academy of Sciences. 110(14). E1263–72. 127 indexed citations
13.
Gold, Matthew G., Douglas M. Fowler, Christopher K. Means, et al.. (2013). Engineering A-kinase Anchoring Protein (AKAP)-selective Regulatory Subunits of Protein Kinase A (PKA) through Structure-based Phage Selection. Journal of Biological Chemistry. 288(24). 17111–17121. 38 indexed citations
14.
Melamed, Daniel R., et al.. (2013). Deep mutational scanning of an RRM domain of the Saccharomyces cerevisiae poly(A)-binding protein. RNA. 19(11). 1537–1551. 155 indexed citations
15.
Araya, Carlos L., et al.. (2011). Genome-Wide Analysis of Nascent Transcription in Saccharomyces cerevisiae. G3 Genes Genomes Genetics. 1(7). 549–558. 15 indexed citations
16.
Kaeberlein, Matt, Ryan Powers, Kristan K. Steffen, et al.. (2005). Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients. Science. 310(5751). 1193–1196. 1015 indexed citations breakdown →
17.
Miller, John P., Russell S. Lo, Asa Ben‐Hur, et al.. (2005). Large-scale identification of yeast integral membrane protein interactions. Proceedings of the National Academy of Sciences. 102(34). 12123–12128. 202 indexed citations
18.
Zhang, Beilin, Brian C. Kraemer, Dhruba J. SenGupta, Stanley Fields, & Marvin Wickens. (1999). [5] Yeast three-hybrid system to detect and analyze interactions between RNA and protein. Methods in enzymology on CD-ROM/Methods in enzymology. 306. 93–113. 32 indexed citations
19.
Bartel, Paul L. & Stanley Fields. (1995). [16] Analyzing protein-protein interactions using two-hybrid system. Methods in enzymology on CD-ROM/Methods in enzymology. 254. 241–263. 302 indexed citations
20.
Fields, Stanley & Ira Herskowitz. (1987). Regulation by the Yeast Mating-Type Locus of STE12 , a Gene Required for Cell-Type-Specific Expression. Molecular and Cellular Biology. 7(10). 3818–3821. 65 indexed citations

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.

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