Daniel P. Farrell

1.1k total citations · 1 hit paper
18 papers, 570 citations indexed

About

Daniel P. Farrell is a scholar working on Molecular Biology, Structural Biology and Physiology. According to data from OpenAlex, Daniel P. Farrell has authored 18 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Structural Biology and 3 papers in Physiology. Recurrent topics in Daniel P. Farrell's work include RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). Daniel P. Farrell is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). Daniel P. Farrell collaborates with scholars based in United States, United Kingdom and Switzerland. Daniel P. Farrell's co-authors include Frank DiMaio, Thorsten B. Blum, Jinghui Luo, Jan Pieter Abrahams, Jinming Wu, Thomas Walz, Justin M. Kollman, Eric M. Lynch, Robert G. Roeder and Roodolph St. Pierre and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel P. Farrell

18 papers receiving 565 citations

Hit Papers

De novo design of pH-responsive self-assembling helical p... 2024 2026 2025 2024 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Farrell United States 12 429 80 78 47 39 18 570
Paolo Swuec Italy 15 759 1.8× 56 0.7× 95 1.2× 102 2.2× 48 1.2× 24 857
Miroslava Sedláčková Czechia 11 329 0.8× 59 0.7× 56 0.7× 15 0.3× 27 0.7× 18 495
Christophe Caillat France 18 442 1.0× 131 1.6× 47 0.6× 29 0.6× 39 1.0× 20 601
Yan Han United States 15 641 1.5× 57 0.7× 36 0.5× 49 1.0× 33 0.8× 27 799
Marie‐Jeanne Clément France 16 425 1.0× 125 1.6× 56 0.7× 22 0.5× 30 0.8× 31 614
Heather Sadlish United States 10 573 1.3× 134 1.7× 70 0.9× 47 1.0× 51 1.3× 14 724
Miguel Garavís Spain 12 827 1.9× 31 0.4× 74 0.9× 37 0.8× 21 0.5× 18 943
Ritwick Sawarkar Germany 16 777 1.8× 74 0.9× 72 0.9× 32 0.7× 29 0.7× 29 920
Rui Hong United States 13 431 1.0× 40 0.5× 77 1.0× 26 0.6× 34 0.9× 27 591

Countries citing papers authored by Daniel P. Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Farrell. 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 Daniel P. Farrell. The network helps show where Daniel P. Farrell may publish in the future.

Co-authorship network of co-authors of Daniel P. Farrell

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

All Works

18 of 18 papers shown
1.
Shen, Hao, Eric M. Lynch, Joseph L. Watson, et al.. (2024). De novo design of pH-responsive self-assembling helical protein filaments. Nature Nanotechnology. 19(7). 1016–1021. 34 indexed citations breakdown →
2.
Reggiano, Gabriella, et al.. (2023). Residue-level error detection in cryoelectron microscopy models. Structure. 31(7). 860–869.e4. 6 indexed citations
3.
Ferro, Luke S., Qianglin Fang, Lisa Eshun-Wilson, et al.. (2022). Structural and functional insight into regulation of kinesin-1 by microtubule-associated protein MAP7. Science. 375(6578). 326–331. 54 indexed citations
4.
Jiang, Jennifer, Cristina Jiménez‐Ortigosa, Muyuan Chen, et al.. (2022). Elucidating the 3D Structure of β-(1,3)-glucan Synthase from Candida glabrata by Subtomogram Averaging. Microscopy and Microanalysis. 28(S1). 1120–1123. 1 indexed citations
5.
Burrell, Anika L., Daniel P. Farrell, Jianming Kang, et al.. (2021). BRCA1/BARD1 site-specific ubiquitylation of nucleosomal H2A is directed by BARD1. Nature Structural & Molecular Biology. 28(3). 268–277. 58 indexed citations
6.
Mann, Daniel, Junping Fan, Daniel P. Farrell, et al.. (2021). Structure and lipid dynamics in the maintenance of lipid asymmetry inner membrane complex of A. baumannii. Communications Biology. 4(1). 817–817. 31 indexed citations
7.
Wu, Jinming, Thorsten B. Blum, Daniel P. Farrell, et al.. (2021). Cryo‐electron Microscopy Imaging of Alzheimer's Amyloid‐beta 42 Oligomer Displayed on a Functionally and Structurally Relevant Scaffold. Angewandte Chemie International Edition. 60(34). 18680–18687. 53 indexed citations
8.
Wu, Jinming, Thorsten B. Blum, Daniel P. Farrell, et al.. (2021). Cryo‐electron Microscopy Imaging of Alzheimer's Amyloid‐beta 42 Oligomer Displayed on a Functionally and Structurally Relevant Scaffold. Angewandte Chemie. 133(34). 18828–18835. 6 indexed citations
9.
Bhargava, Hersh K., Keisuke Tabata, Maho Hamasaki, et al.. (2020). Structural basis for autophagy inhibition by the human Rubicon–Rab7 complex. Proceedings of the National Academy of Sciences. 117(29). 17003–17010. 23 indexed citations
10.
Lynch, Eric M., Daniel P. Farrell, Annie Dosey, et al.. (2020). Polymerization in the actin ATPase clan regulates hexokinase activity in yeast. Science. 367(6481). 1039–1042. 40 indexed citations
11.
Farrell, Daniel P., Ivan Anishchenko, Shabih Shakeel, et al.. (2020). Deep learning enables the atomic structure determination of the Fanconi Anemia core complex from cryoEM. IUCrJ. 7(5). 881–892. 11 indexed citations
12.
Farrell, Daniel P., et al.. (2020). The cryo-EM structure of the bacterial flagellum cap complex suggests a molecular mechanism for filament elongation. Nature Communications. 11(1). 3210–3210. 21 indexed citations
13.
Mashtalir, Nazar, Hiroshi Suzuki, Daniel P. Farrell, et al.. (2020). A Structural Model of the Endogenous Human BAF Complex Informs Disease Mechanisms. Cell. 183(3). 802–817.e24. 108 indexed citations
14.
Farrell, Daniel P.. (2020). Deep learning enables the atomic structure determination of the Fanconi Anemia core complex from cryoEM. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
15.
Chou, Hui‐Ting, Daniel P. Farrell, Jonathan Woodsmith, et al.. (2019). The Molecular Architecture of Native BBSome Obtained by an Integrated Structural Approach. Structure. 27(9). 1384–1394.e4. 38 indexed citations
16.
Morrison, Emma A., Jehnna L. Ronan, Daniel P. Farrell, et al.. (2017). DNA binding drives the association of BRG1/hBRM bromodomains with nucleosomes. Nature Communications. 8(1). 16080–16080. 58 indexed citations
17.
Farrell, Daniel P., et al.. (2013). Brønsted acid catalyzed intramolecular benzylic cyclizations of alkylpyridines. Organic & Biomolecular Chemistry. 12(7). 1090–1099. 16 indexed citations
18.
Branch, George M., et al.. (2012). Comparing community structure on shells of the abalone Haliotis midae and adjacent rock: implications for biodiversity. Marine Biology. 160(1). 107–117. 11 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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