Charles E. McAnany

868 total citations · 1 hit paper
7 papers, 400 citations indexed

About

Charles E. McAnany is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Charles E. McAnany has authored 7 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Charles E. McAnany's work include RNA Research and Splicing (3 papers), Microtubule and mitosis dynamics (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Charles E. McAnany is often cited by papers focused on RNA Research and Splicing (3 papers), Microtubule and mitosis dynamics (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Charles E. McAnany collaborates with scholars based in United States, United Kingdom and Germany. Charles E. McAnany's co-authors include Cameron Mura, Sabrina Krueger, Julia Zeitlinger, Khyati Dalal, Julien Gagneur, Amr M. Alexandari, Žiga Avsec, Robin Fropf, Melanie Weilert and Avanti Shrikumar and has published in prestigious journals such as Nature Genetics, The Journal of Physical Chemistry B and Biophysical Journal.

In The Last Decade

Charles E. McAnany

7 papers receiving 394 citations

Hit Papers

Base-resolution models of transcription-factor binding re... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles E. McAnany United States 5 330 54 27 26 19 7 400
Patrick J. Killion United States 4 396 1.2× 40 0.7× 35 1.3× 29 1.1× 15 0.8× 8 446
Maya Agarwal United States 6 225 0.7× 26 0.5× 18 0.7× 13 0.5× 37 1.9× 7 321
Hema Bye‐A‐Jee United Kingdom 5 251 0.8× 30 0.6× 15 0.6× 11 0.4× 27 1.4× 7 288
Andrian Yang Australia 9 224 0.7× 26 0.5× 20 0.7× 40 1.5× 10 0.5× 14 281
Declan Clarke United States 10 188 0.6× 66 1.2× 19 0.7× 12 0.5× 14 0.7× 14 256
Diana S. M. Ottoz United States 6 445 1.3× 23 0.4× 39 1.4× 44 1.7× 15 0.8× 6 497
Anuradha Lakshminarayana United States 4 203 0.6× 56 1.0× 55 2.0× 60 2.3× 12 0.6× 8 320
Audald Lloret‐Villas Switzerland 6 203 0.6× 56 1.0× 22 0.8× 9 0.3× 24 1.3× 10 288
Jingye Yang United States 7 200 0.6× 48 0.9× 9 0.3× 15 0.6× 16 0.8× 8 292
Ruijie Song United States 11 201 0.6× 40 0.7× 24 0.9× 15 0.6× 14 0.7× 18 266

Countries citing papers authored by Charles E. McAnany

Since Specialization
Citations

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

Fields of papers citing papers by Charles E. McAnany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles E. McAnany

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

All Works

7 of 7 papers shown
1.
Dalal, Khyati, Charles E. McAnany, Melanie Weilert, et al.. (2025). Interpreting regulatory mechanisms of Hippo signaling through a deep learning sequence model. Cell Genomics. 5(4). 100821–100821. 1 indexed citations
2.
Avsec, Žiga, Melanie Weilert, Avanti Shrikumar, et al.. (2021). Base-resolution models of transcription-factor binding reveal soft motif syntax. Nature Genetics. 53(3). 354–366. 294 indexed citations breakdown →
3.
McAnany, Charles E., et al.. (2016). An Introduction to Programming for Bioscientists: A Python-Based Primer. PLoS Computational Biology. 12(6). e1004867–e1004867. 44 indexed citations
4.
Tang, James D., Charles E. McAnany, Cameron Mura, & Kyle J. Lampe. (2016). Toward a Designable Extracellular Matrix: Molecular Dynamics Simulations of an Engineered Laminin-Mimetic, Elastin-Like Fusion Protein. Biomacromolecules. 17(10). 3222–3233. 16 indexed citations
5.
McAnany, Charles E. & Cameron Mura. (2016). Claws, Disorder, and Conformational Dynamics of the C-Terminal Region of Human Desmoplakin. The Journal of Physical Chemistry B. 120(33). 8654–8667. 7 indexed citations
6.
Price, Carol W., et al.. (2015). Known structure, unknown function: An inquiry‐based undergraduate biochemistry laboratory course. Biochemistry and Molecular Biology Education. 43(4). 245–262. 35 indexed citations
7.
McAnany, Charles E. & Cameron Mura. (2015). Claws, Disorder, and Conformational Dynamics of the C Terminal Region of Human Desmoplakin. Biophysical Journal. 108(2). 389a–390a. 3 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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