William J. Rice

6.2k total citations · 2 hit papers
88 papers, 3.9k citations indexed

About

William J. Rice is a scholar working on Molecular Biology, Structural Biology and Cell Biology. According to data from OpenAlex, William J. Rice has authored 88 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 17 papers in Structural Biology and 8 papers in Cell Biology. Recurrent topics in William J. Rice's work include Advanced Electron Microscopy Techniques and Applications (17 papers), RNA and protein synthesis mechanisms (12 papers) and Electron and X-Ray Spectroscopy Techniques (8 papers). William J. Rice is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (17 papers), RNA and protein synthesis mechanisms (12 papers) and Electron and X-Ray Spectroscopy Techniques (8 papers). William J. Rice collaborates with scholars based in United States, Canada and United Kingdom. William J. Rice's co-authors include David H. MacLennan, David L. Stokes, Bridget Carragher, Clinton S. Potter, Edward T. Eng, James L. Manley, Joachim Frank, Yongsheng Shi, Derek J. Taylor and John R. Yates and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

William J. Rice

85 papers receiving 3.8k citations

Hit Papers

Molecular Architecture of the Human Pre-mRNA 3′ Processin... 2009 2026 2014 2020 2009 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William J. Rice United States 34 2.6k 529 435 321 268 88 3.9k
Zhe Chen United States 42 3.6k 1.4× 586 1.1× 895 2.1× 448 1.4× 292 1.1× 123 6.0k
Sam Li United States 27 2.0k 0.7× 390 0.7× 462 1.1× 419 1.3× 208 0.8× 58 4.2k
Mikel Valle Spain 39 4.4k 1.7× 746 1.4× 237 0.5× 913 2.8× 376 1.4× 69 5.5k
Björn Forsberg Sweden 13 3.2k 1.2× 588 1.1× 376 0.9× 454 1.4× 223 0.8× 18 4.8k
Florian Mueller France 40 3.7k 1.4× 365 0.7× 227 0.5× 476 1.5× 90 0.3× 74 4.7k
Daniel Boehringer Switzerland 38 4.7k 1.8× 221 0.4× 389 0.9× 573 1.8× 65 0.2× 105 6.0k
Eugene Palovcak United States 10 4.1k 1.6× 718 1.4× 542 1.2× 675 2.1× 249 0.9× 13 5.9k
Lori A. Passmore United Kingdom 37 3.4k 1.3× 682 1.3× 564 1.3× 322 1.0× 375 1.4× 68 4.4k
S.D. Fuller Germany 27 2.3k 0.9× 258 0.5× 1.2k 2.7× 626 2.0× 76 0.3× 35 4.2k
Kliment A. Verba United States 9 4.3k 1.6× 648 1.2× 593 1.4× 643 2.0× 211 0.8× 19 5.9k

Countries citing papers authored by William J. Rice

Since Specialization
Citations

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

Fields of papers citing papers by William J. Rice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William J. Rice

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Rice. A scholar is included among the top collaborators of William J. Rice 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 J. Rice. William J. Rice 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.
Unarta, Ilona Christy, Mengjie Liu, Bing Wang, et al.. (2025). Molecular basis for noncanonical transcription initiation from Np4A alarmones. Nature Chemical Biology.
2.
Lavoie, Hugo, Ting Jin, Marion Décossas, et al.. (2025). BRAF oncogenic mutants evade autoinhibition through a common mechanism. Science. 388(6750). eadp2742–eadp2742. 2 indexed citations
3.
Bowman, Sarah, Chun‐Hsing Chen, M. Jason de la Cruz, et al.. (2024). Applying 3D ED/MicroED workflows toward the next frontiers. Acta Crystallographica Section C Structural Chemistry. 80(6). 179–189. 4 indexed citations
4.
Mansilla‐Soto, Jorge, Mohamad Hamieh, Victor Bustos, et al.. (2023). CD19 CAR antigen engagement mechanisms and affinity tuning. Science Immunology. 8(81). eadf1426–eadf1426. 36 indexed citations
5.
Wang, Bing, et al.. (2023). Measuring the effects of ice thickness on resolution in single particle cryo-EM. SHILAP Revista de lepidopterología. 7. 100085–100085. 23 indexed citations
6.
Fernández-Mariño, Ana I., Changhao He, Alice J. Paquette, et al.. (2022). Structures of the T cell potassium channel Kv1.3 with immunoglobulin modulators. Nature Communications. 13(1). 3854–3854. 59 indexed citations
7.
Ching, Krystal L., Maren de Vries, Juan Gago, et al.. (2022). ACE2-containing defensosomes serve as decoys to inhibit SARS-CoV-2 infection. PLoS Biology. 20(9). e3001754–e3001754. 23 indexed citations
8.
Cho, Jinwon, et al.. (2021). One-pot synthesis of linear triblock terpolymers and their aqueous self-assembly. Polymer Chemistry. 12(13). 1967–1974. 7 indexed citations
9.
Sauer, David B., Jinmei Song, Bing Wang, et al.. (2021). Structure and inhibition mechanism of the human citrate transporter NaCT. Nature. 591(7848). 157–161. 59 indexed citations
10.
Wang, Jing, Agustín Anastasía, Joanna Giza, et al.. (2020). Zinc induced structural changes in the intrinsically disordered BDNF Met prodomain confer synaptic elimination. Metallomics. 12(8). 1208–1219. 5 indexed citations
11.
Akella, Jyothi S., Malan Silva, Natalia S. Morsci, et al.. (2019). Cell type‐specific structural plasticity of the ciliary transition zone in C. elegans. Biology of the Cell. 111(4). 95–107. 17 indexed citations
12.
Rice, William J., Anchi Cheng, Alex J. Noble, et al.. (2018). Routine determination of ice thickness for cryo-EM grids. Journal of Structural Biology. 204(1). 38–44. 102 indexed citations
13.
Wei, Hui, Venkata P. Dandey, Zhening Zhang, et al.. (2018). Optimizing “self-wicking” nanowire grids. Journal of Structural Biology. 202(2). 170–174. 60 indexed citations
14.
Fu, Xiaofeng, Benjamin A. Himes, Danxia Ke, et al.. (2014). Controlled Bacterial Lysis for Electron Tomography of Native Cell Membranes. Structure. 22(12). 1875–1882. 23 indexed citations
15.
Tan, Dongyan, William J. Rice, & Hernando Sosa. (2008). Structure of the Kinesin13-Microtubule Ring Complex. Structure. 16(11). 1732–1739. 44 indexed citations
16.
MacLennan, David H., William J. Rice, & Alex Odermatt. (1997). Structure/Function Analysis of the Ca2+ Binding and Translocation Domain of SERCA1 and the Role in Brody Disease of the ATP2A1 Gene Encoding SERCA1a. Annals of the New York Academy of Sciences. 834(1). 175–185. 20 indexed citations
17.
Rice, William J.. (1984). Development of an instrument for real-time computation of indicated mean effective pressure. NASA STI Repository (National Aeronautics and Space Administration). 84. 16461. 3 indexed citations
18.
Schock, Harold, et al.. (1981). Experimental Analysis of IMEP in a Rotary Combustion Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 16 indexed citations
19.
Rice, William J., et al.. (1980). Modular instrumentation system for real-time measurements and control on reciprocating engines. STIN. 81. 11315. 4 indexed citations
20.
Rice, William J., et al.. (1978). Fast differential analog-to-digital conversion. NASA Tech Briefs. 3(2). 1 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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