Raphael J.L. Townshend

1.5k total citations · 1 hit paper
13 papers, 682 citations indexed

About

Raphael J.L. Townshend is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Raphael J.L. Townshend has authored 13 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 6 papers in Materials Chemistry. Recurrent topics in Raphael J.L. Townshend's work include Protein Structure and Dynamics (6 papers), Machine Learning in Materials Science (6 papers) and Computational Drug Discovery Methods (6 papers). Raphael J.L. Townshend is often cited by papers focused on Protein Structure and Dynamics (6 papers), Machine Learning in Materials Science (6 papers) and Computational Drug Discovery Methods (6 papers). Raphael J.L. Townshend collaborates with scholars based in United States, Germany and South Korea. Raphael J.L. Townshend's co-authors include Ron O. Dror, Stephan Eismann, Rhiju Das, Masha Karelina, Ramya Rangan, Andrew M. Watkins, Scott A. Hollingsworth, Naomi R. Latorraca, H. Eric Xu and Julia Olivieri and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Raphael J.L. Townshend

13 papers receiving 670 citations

Hit Papers

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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.

Geometric deep learning of RNA structure

2021 235 citations Raphael J.L. Townshend, Stephan Eismann et al. Science profile →

Peers

Countries citing papers authored by Raphael J.L. Townshend

Since Specialization

Citations

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

Fields of papers citing papers by Raphael J.L. Townshend

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphael J.L. Townshend. 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 Raphael J.L. Townshend. The network helps show where Raphael J.L. Townshend may publish in the future.

Co-authorship network of co-authors of Raphael J.L. Townshend

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael J.L. Townshend. A scholar is included among the top collaborators of Raphael J.L. Townshend 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 Raphael J.L. Townshend. Raphael J.L. Townshend is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Protein model quality assessment using rotation‐equivariant transformations on point clouds 2023 ·Proteins Structure Function and Bioinformatics ·Stephan Eismann, Patricia Suriana, (unknown), Raphael J.L. Townshend, Ron O. Dror	2
2	Geometric deep learning of RNA structure breakdown → 2021 ·Science ·Raphael J.L. Townshend, Stephan Eismann, Andrew M. Watkins, Ramya Rangan, Masha Karelina, Rhiju Das, Ron O. Dror	235
3	Gold nanoparticles and tilt pairs to assess protein flexibility by cryo-electron microscopy 2021 ·Ultramicroscopy ·(unknown), Raphael J.L. Townshend, Lin‐Woo Kang, David Bushnell, Ron O. Dror, Roger D. Kornberg, Maia Azubel	3
4	Geometric Deep Learning on Biomolecular Structure 2021 ·Biophysical Journal ·Raphael J.L. Townshend, (unknown), David Liu, Ron O. Dror	1
5	Simple biochemical features underlie transcriptional activation domain diversity and dynamic, fuzzy binding to Mediator 2021 ·The FASEB Journal ·Adrian L. Sanborn, (unknown), Jordan T. Feigerle, (unknown), Raphael J.L. Townshend, Erez Lieberman Aiden, Ron O. Dror, Roger D. Kornberg	2
6	Simple biochemical features underlie transcriptional activation domain diversity and dynamic, fuzzy binding to Mediator 2021 ·eLife ·Adrian L. Sanborn, (unknown), Jordan T. Feigerle, (unknown), Raphael J.L. Townshend, Erez Lieberman Aiden, Ron O. Dror, Roger D. Kornberg	105
7	Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes 2020 ·arXiv (Cornell University) ·Stephan Eismann, Raphael J.L. Townshend, (unknown), (unknown), (unknown), Ron O. Dror	2
8	How GPCR Phosphorylation Patterns Orchestrate Arrestin-Mediated Signaling 2020 ·Cell ·Naomi R. Latorraca, Matthieu Masureel, Scott A. Hollingsworth, Franziska M. Heydenreich, Carl‐Mikael Suomivuori, (unknown), Raphael J.L. Townshend, Michel Bouvier, Brian K. Kobilka, Ron O. Dror	109
9	Hierarchical, rotation‐equivariant neural networks to select structural models of protein complexes 2020 ·Proteins Structure Function and Bioinformatics ·Stephan Eismann, Raphael J.L. Townshend, (unknown), (unknown), (unknown), Ron O. Dror	35
10	Generalizable Protein Interface Prediction with End-to-End Learning. 2018 ·arXiv (Cornell University) ·Raphael J.L. Townshend, Rishi Bedi, Ron O. Dror	3
11	Molecular mechanism of GPCR-mediated arrestin activation 2018 ·Nature ·Naomi R. Latorraca, Jason K. Wang, (unknown), Raphael J.L. Townshend, Scott A. Hollingsworth, Julia Olivieri, H. Eric Xu, M. Sommer, Ron O. Dror	146
12	End-to-End Learning on 3D Protein Structure for Interface Prediction 2018 ·arXiv (Cornell University) ·Raphael J.L. Townshend, Rishi Bedi, Patricia Suriana, Ron O. Dror	18
13	User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models 2013 ·Eric Tzeng, Andrew Zhai, (unknown), Raphael J.L. Townshend, Avideh Zakhor	21

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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