William M. Gray

12.7k total citations · 8 hit papers
100 papers, 9.4k citations indexed

About

William M. Gray is a scholar working on Molecular Biology, Plant Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William M. Gray has authored 100 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 44 papers in Plant Science and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William M. Gray's work include Plant Molecular Biology Research (42 papers), Plant Reproductive Biology (20 papers) and Ubiquitin and proteasome pathways (16 papers). William M. Gray is often cited by papers focused on Plant Molecular Biology Research (42 papers), Plant Reproductive Biology (20 papers) and Ubiquitin and proteasome pathways (16 papers). William M. Gray collaborates with scholars based in United States, United Kingdom and Japan. William M. Gray's co-authors include Mark Estelle, Hong Yu Ren, Stefan Kepinski, Ottoline Leyser, Dean Rouse, Angela Spartz, Marcel Quint, Lawrence Hobbie, James Kirk and E.R. Watson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

William M. Gray

96 papers receiving 9.2k citations

Hit Papers

Auxin regulates SCFTIR1-dependent degradation of AUX/IAA ... 1998 2026 2007 2016 2001 2011 1998 1998 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William M. Gray United States 42 7.4k 6.1k 261 257 256 100 9.4k
Waltraud X. Schulze Germany 57 6.4k 0.9× 5.4k 0.9× 485 1.9× 421 1.6× 74 0.3× 146 10.4k
Julia Bailey‐Serres United States 67 15.4k 2.1× 6.4k 1.1× 52 0.2× 404 1.6× 371 1.4× 138 18.8k
Lei Wang China 41 2.1k 0.3× 3.1k 0.5× 66 0.3× 240 0.9× 164 0.6× 283 5.9k
Pinghua Li China 38 3.0k 0.4× 3.3k 0.5× 129 0.5× 68 0.3× 102 0.4× 158 5.8k
Eiji Gotō Japan 34 2.0k 0.3× 1.8k 0.3× 49 0.2× 151 0.6× 315 1.2× 203 4.8k
François Chaumont Belgium 53 6.3k 0.9× 4.4k 0.7× 66 0.3× 246 1.0× 120 0.5× 108 8.7k
H. van den Ende Netherlands 39 1.9k 0.3× 3.4k 0.6× 61 0.2× 839 3.3× 434 1.7× 142 5.7k
Hiroshi Shimada Japan 38 1.6k 0.2× 2.7k 0.4× 53 0.2× 104 0.4× 51 0.2× 146 4.6k
Liu B China 58 8.8k 1.2× 5.3k 0.9× 42 0.2× 318 1.2× 103 0.4× 483 11.5k
J. Bennett United States 36 2.3k 0.3× 2.5k 0.4× 35 0.1× 190 0.7× 89 0.3× 107 5.1k

Countries citing papers authored by William M. Gray

Since Specialization
Citations

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

Fields of papers citing papers by William M. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Gray. 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 William M. Gray. The network helps show where William M. Gray may publish in the future.

Co-authorship network of co-authors of William M. Gray

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Gray. A scholar is included among the top collaborators of William M. Gray 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 William M. Gray. William M. Gray 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.
Nagpal, Punita, Paul H. Reeves, Jeh Haur Wong, et al.. (2022). SAUR63 stimulates cell growth at the plasma membrane. PLoS Genetics. 18(9). e1010375–e1010375. 15 indexed citations
2.
Du, Minmin, Firas Bou Daher, Yuanyuan Liu, et al.. (2022). Biphasic control of cell expansion by auxin coordinates etiolated seedling development. Science Advances. 8(2). eabj1570–eabj1570. 31 indexed citations
3.
Inoue, Shin‐ichiro, Yohei Takahashi, Maki Hayashi, et al.. (2021). Type 2C protein phosphatase clade D family members dephosphorylate guard cell plasma membrane H+-ATPase. PLANT PHYSIOLOGY. 188(4). 2228–2240. 23 indexed citations
4.
Zeng, Liping, Jinzheng Wang, Xiang He, et al.. (2021). A plastidial retrograde signal potentiates biosynthesis of systemic stress response activators. New Phytologist. 233(4). 1732–1749. 11 indexed citations
5.
Lin, Wenwei, Xiang Zhou, Wenxin Tang, et al.. (2021). TMK-based cell-surface auxin signalling activates cell-wall acidification. Nature. 599(7884). 278–282. 193 indexed citations breakdown →
6.
Li, Lanxin, Inge Verstraeten, Mark Roosjen, et al.. (2021). Cell surface and intracellular auxin signalling for H+ fluxes in root growth. Nature. 599(7884). 273–277. 175 indexed citations breakdown →
7.
Wong, Jeh Haur, Stephen Snipes, Punita Nagpal, et al.. (2020). SAUR proteins and PP2C.D phosphatases regulate H+-ATPases and K+ channels to control stomatal movements. PLANT PHYSIOLOGY. 185(1). 256–273. 52 indexed citations
8.
Wong, Jeh Haur, Angela Spartz, Mee Yeon Park, Minmin Du, & William M. Gray. (2019). Mutation of a Conserved Motif of PP2C.D Phosphatases Confers SAUR Immunity and Constitutive Activity. PLANT PHYSIOLOGY. 181(1). 353–366. 41 indexed citations
9.
Ren, Hong Yu, Mee Yeon Park, Angela Spartz, Jeh Haur Wong, & William M. Gray. (2018). A subset of plasma membrane-localized PP2C.D phosphatases negatively regulate SAUR-mediated cell expansion in Arabidopsis. PLoS Genetics. 14(6). e1007455–e1007455. 99 indexed citations
10.
Spartz, Angela, Vai S. Lor, Hong Yu Ren, et al.. (2016). Constitutive Expression of Arabidopsis SMALL AUXIN UP RNA19 (SAUR19) in Tomato Confers Auxin-Independent Hypocotyl Elongation. PLANT PHYSIOLOGY. 173(2). 1453–1462. 83 indexed citations
11.
Spartz, Angela, Hong Yu Ren, Mee Yeon Park, et al.. (2014). SAUR Inhibition of PP2C-D Phosphatases Activates Plasma Membrane H+-ATPases to Promote Cell Expansion in Arabidopsis    . The Plant Cell. 26(5). 2129–2142. 413 indexed citations breakdown →
13.
Franklin, Keara A., Sang Ho Lee, Dhaval Patel, et al.. (2011). PHYTOCHROME-INTERACTING FACTOR 4 (PIF4) regulates auxin biosynthesis at high temperature. Proceedings of the National Academy of Sciences. 108(50). 20231–20235. 566 indexed citations breakdown →
14.
Xu, Jie & William M. Gray. (2007). Environmental circulations associated with tropical cyclones experiencing fast, slow and looping motion. Digital Collections of Colorado (Colorado State University). 1 indexed citations
15.
Gray, William M., et al.. (2007). Data summary of NOAA's hurricane inner-core radial leg flight penetrations 1957-1967, and 1969. Digital Collections of Colorado (Colorado State University). 2 indexed citations
16.
Gray, William M., et al.. (2007). Diurnal variation of oceanic deep cumulus convection. Digital Collections of Colorado (Colorado State University).
17.
Gray, William M., et al.. (2006). A Gain-of-Function Mutation in the Arabidopsis Pleiotropic Drug Resistance Transporter PDR9 Confers Resistance to Auxinic Herbicides. PLANT PHYSIOLOGY. 142(1). 63–74. 127 indexed citations
19.
Gray, William M., et al.. (1981). Time-domain system identification applied to noninvasive estimation of cardiopulmonary quantities. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 5 indexed citations
20.
Gray, William M.. (1972). Diagnostic Study of the Planetary Boundary Layer over the Oceans. Digital Collections of Colorado (Colorado State University). 5 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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