David E. Stone

1.8k total citations
46 papers, 1.5k citations indexed

About

David E. Stone is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David E. Stone has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 14 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in David E. Stone's work include Fungal and yeast genetics research (30 papers), Plant Reproductive Biology (18 papers) and Neurobiology and Insect Physiology Research (7 papers). David E. Stone is often cited by papers focused on Fungal and yeast genetics research (30 papers), Plant Reproductive Biology (18 papers) and Neurobiology and Insect Physiology Research (7 papers). David E. Stone collaborates with scholars based in United States, United Kingdom and France. David E. Stone's co-authors include Elizabeth A. Craig, Margaret Werner‐Washburne, Gary M. Cole, Metodi V. Metodiev, Steven I. Reed, E A Craig, Mark D. Rose, Dina P. Matheos, Marvin D. Glock and Paul N. Adler and has published in prestigious journals such as Science, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

David E. Stone

45 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David E. Stone United States 22 1.3k 466 137 104 102 46 1.5k
Ron Davis United States 8 584 0.4× 87 0.2× 124 0.9× 46 0.4× 36 0.4× 15 873
Hans Wiech Germany 12 806 0.6× 303 0.7× 33 0.2× 24 0.2× 81 0.8× 13 979
S H Lillie United States 8 1.4k 1.1× 695 1.5× 243 1.8× 41 0.4× 17 0.2× 9 1.7k
Celia J. Harrison United States 12 889 0.7× 145 0.3× 90 0.7× 17 0.2× 131 1.3× 16 1.0k
Dieter Malchow Germany 33 1.5k 1.1× 1.7k 3.6× 114 0.8× 188 1.8× 132 1.3× 66 2.7k
Mary Berks United Kingdom 13 1.0k 0.8× 672 1.4× 157 1.1× 36 0.3× 28 0.3× 14 1.6k
Heather L. True United States 22 2.8k 2.1× 296 0.6× 236 1.7× 54 0.5× 20 0.2× 51 3.0k
M. B. Coukell Canada 19 613 0.5× 573 1.2× 63 0.5× 101 1.0× 40 0.4× 44 1.0k
Anthony S. Kowal United States 17 2.8k 2.1× 727 1.6× 80 0.6× 38 0.4× 103 1.0× 22 3.4k
Mehdi Kabani France 16 983 0.7× 376 0.8× 47 0.3× 19 0.2× 44 0.4× 33 1.1k

Countries citing papers authored by David E. Stone

Since Specialization
Citations

This map shows the geographic impact of David E. Stone'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 David E. Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Stone more than expected).

Fields of papers citing papers by David E. Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Stone. 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 David E. Stone. The network helps show where David E. Stone may publish in the future.

Co-authorship network of co-authors of David E. Stone

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Stone. A scholar is included among the top collaborators of David E. Stone 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 David E. Stone. David E. Stone 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.
Stone, David E., et al.. (2023). A member of the claudin superfamily influences formation of the front domain in pheromone-responding yeast cells. Journal of Cell Science. 136(2). 1 indexed citations
2.
Wang, Xin, et al.. (2022). Gradient tracking in mating yeast depends on Bud1 inactivation and actin-independent vesicle delivery. The Journal of Cell Biology. 221(12). 2 indexed citations
3.
Wang, Xin, et al.. (2021). Phosphorylated Gβ is a directional cue during yeast gradient tracking. Science Signaling. 14(682). 5 indexed citations
4.
Stone, David E., et al.. (2019). Quantitative proteomics reveals a Gα/MAPK signaling hub that controls pheromone-induced cellular polarization in yeast. Journal of Proteomics. 207. 103467–103467. 5 indexed citations
5.
Stone, David E. & Robert A. Arkowitz. (2016). In Situ Assays of Chemotropism During Yeast Mating. Methods in molecular biology. 1407. 1–12. 2 indexed citations
6.
Stone, David E., et al.. (2012). A microfluidic device that forms and redirects pheromone gradients to study chemotropism in yeast. Lab on a Chip. 12(17). 3127–3127. 23 indexed citations
7.
Arkowitz, Robert A., et al.. (2010). Polarization of the Yeast Pheromone Receptor Requires Its Internalization but Not Actin-dependent Secretion. Molecular Biology of the Cell. 21(10). 1737–1752. 34 indexed citations
8.
Zaichick, Sofia, et al.. (2009). The Mating-specific Gα Interacts with a Kinesin-14 and Regulates Pheromone-induced Nuclear Migration in Budding Yeast. Molecular Biology of the Cell. 20(12). 2820–2830. 13 indexed citations
9.
Dubrovskyi, Oleksii, et al.. (2009). Dse1 may control cross talk between the pheromone and filamentation pathways in yeast. Current Genetics. 55(6). 611–621. 4 indexed citations
10.
Metodiev, Metodi V., et al.. (2004). Differential phosphoproteome profiling by affinity capture and tandem matrix‐assisted laser desorption/ionization mass spectrometry. PROTEOMICS. 4(5). 1433–1438. 42 indexed citations
11.
Adler, Paul N., Chunming Zhu, & David E. Stone. (2004). Inturned Localizes to the Proximal Side of Wing Cells under the Instruction of Upstream Planar Polarity Proteins. Current Biology. 14(22). 2046–2051. 56 indexed citations
12.
Bar, Eli E., et al.. (2003). Gβγ Recruits Rho1 to the Site of Polarized Growth during Mating in Budding Yeast. Journal of Biological Chemistry. 278(24). 21798–21804. 29 indexed citations
13.
Metodiev, Metodi V., Dina P. Matheos, Mark D. Rose, & David E. Stone. (2002). Regulation of MAPK Function by Direct Interaction with the Mating-Specific Gα in Yeast. Science. 296(5572). 1483–1486. 86 indexed citations
14.
Cismowski, Mary J., et al.. (2001). Biochemical Analysis of Yeast Gα Mutants That Enhance Adaptation to Pheromone. Biochemical and Biophysical Research Communications. 284(2). 247–254. 8 indexed citations
15.
16.
Cismowski, Mary J., et al.. (1998). Phosphorylation of the pheromone-responsive Gβ protein of Saccharomyces cerevisiae does not affect its mating-specific signaling function. Molecular and General Genetics MGG. 258(6). 608–618. 22 indexed citations
17.
Chung, P.W.H. & David E. Stone. (1994). Approaches to representing and reasoning with technical regulatory information. The Knowledge Engineering Review. 9(2). 147–162. 2 indexed citations
18.
Stone, David E., et al.. (1984). Computer-Based Job Aiding: Problem Solving at Work.. Defense Technical Information Center (DTIC). 2 indexed citations
19.
Stone, David E., et al.. (1983). Information Engineering: On-Line Analysis of Information Search and Utilization.. Defense Technical Information Center (DTIC). 1 indexed citations
20.
Stone, David E., et al.. (1969). Solution to the Fresnel Zone Plate Problem. American Journal of Physics. 37(7). 721–726. 4 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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