Willow Coyote‐Maestas

735 total citations
17 papers, 350 citations indexed

About

Willow Coyote‐Maestas is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Willow Coyote‐Maestas has authored 17 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Spectroscopy. Recurrent topics in Willow Coyote‐Maestas's work include Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Rare Diseases (3 papers). Willow Coyote‐Maestas is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Rare Diseases (3 papers). Willow Coyote‐Maestas collaborates with scholars based in United States, South Africa and Sweden. Willow Coyote‐Maestas's co-authors include Daniel Schmidt, Yungui He, Anitra E. Ingalls, François Ribalet, Wei Qin, Laura R. Hmelo, Allan H. Devol, Anthony D. Bertagnolli, James W. Moffett and E. Virginia Armbrust and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Willow Coyote‐Maestas

16 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Willow Coyote‐Maestas United States 11 249 85 50 38 33 17 350
James B. Hughes United States 13 232 0.9× 41 0.5× 26 0.5× 24 0.6× 11 0.3× 30 601
Ivan Stoilov United States 15 189 0.8× 39 0.5× 79 1.6× 18 0.5× 14 0.4× 38 721
Eriko Nakamura Japan 14 261 1.0× 31 0.4× 53 1.1× 129 3.4× 19 0.6× 33 475
Xiaohua Zeng China 14 314 1.3× 139 1.6× 39 0.8× 4 0.1× 13 0.4× 31 515
Nhung Nguyen United States 13 186 0.7× 52 0.6× 35 0.7× 9 0.2× 37 1.1× 33 424
Vincent A. Bielinski United States 8 274 1.1× 97 1.1× 20 0.4× 2 0.1× 68 2.1× 11 455
Francisco M. Heralde Philippines 10 142 0.6× 22 0.3× 25 0.5× 4 0.1× 27 0.8× 53 276
Amandine Caillaud France 14 396 1.6× 96 1.1× 17 0.3× 3 0.1× 208 6.3× 26 758
Mari Ito Japan 8 202 0.8× 78 0.9× 12 0.2× 9 0.2× 42 1.3× 33 385
Wanqin Liao China 13 292 1.2× 30 0.4× 31 0.6× 3 0.1× 15 0.5× 26 541

Countries citing papers authored by Willow Coyote‐Maestas

Since Specialization
Citations

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

Fields of papers citing papers by Willow Coyote‐Maestas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Willow Coyote‐Maestas. 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 Willow Coyote‐Maestas. The network helps show where Willow Coyote‐Maestas may publish in the future.

Co-authorship network of co-authors of Willow Coyote‐Maestas

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

All Works

17 of 17 papers shown
1.
Linossi, Edmond M., J. N. K. Rao, Christian B. Macdonald, et al.. (2025). Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning. eLife. 13. 1 indexed citations
2.
Hoppe, Nick, Xi‐Ping Huang, Christian B. Billesbølle, et al.. (2025). Molecular basis of proton sensing by G protein-coupled receptors. Cell. 188(3). 671–687.e20. 14 indexed citations
3.
4.
Haldar, Tanushree, Mark Kvale, Jia Yang, et al.. (2025). SLCO1B1 Functional Variants, Bilirubin, Statin‐Induced Myotoxicity, and Recent Sub‐Saharan African Ancestry: A Precision Medicine Health Equity Study. Clinical Pharmacology & Therapeutics. 117(6). 1696–1705. 3 indexed citations
5.
Polacco, Benjamin J., Braden T. Lobingier, Emily E. Blythe, et al.. (2024). Profiling the proximal proteome of the activated μ-opioid receptor. Nature Chemical Biology. 20(9). 1133–1143. 18 indexed citations
6.
Linossi, Edmond M., J. N. K. Rao, Christian B. Macdonald, et al.. (2024). Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning. eLife. 13. 3 indexed citations
7.
Rao, J. N. K., Christian B. Macdonald, Sook Wah Yee, et al.. (2024). Rosace: a robust deep mutational scanning analysis framework employing position and mean-variance shrinkage. Genome biology. 25(1). 138–138. 10 indexed citations
8.
Yee, Sook Wah, Christian B. Macdonald, Jia Yang, et al.. (2024). The full spectrum of SLC22 OCT1 mutations illuminates the bridge between drug transporter biophysics and pharmacogenomics. Molecular Cell. 84(10). 1932–1947.e10. 17 indexed citations
9.
Dawood, Moez, Shawn Fayer, Sriram Pendyala, et al.. (2024). Using multiplexed functional data to reduce variant classification inequities in underrepresented populations. Genome Medicine. 16(1). 143–143. 7 indexed citations
10.
Linossi, Edmond M., Christian B. Macdonald, Jennifer M. Michaud, et al.. (2023). Conserved regulatory motifs in the juxtamembrane domain and kinase N-lobe revealed through deep mutational scanning of the MET receptor tyrosine kinase domain. eLife. 12. 6 indexed citations
11.
Macdonald, Christian B., et al.. (2023). DIMPLE: deep insertion, deletion, and missense mutation libraries for exploring protein variation in evolution, disease, and biology. Genome biology. 24(1). 36–36. 19 indexed citations
12.
13.
Coyote‐Maestas, Willow, et al.. (2021). A large‐scale survey of pairwise epistasis reveals a mechanism for evolutionary expansion and specialization of PDZ domains. Proteins Structure Function and Bioinformatics. 89(8). 899–914. 13 indexed citations
14.
Coyote‐Maestas, Willow, Antonio Suma, Yungui He, et al.. (2021). Probing ion channel functional architecture and domain recombination compatibility by massively parallel domain insertion profiling. Nature Communications. 12(1). 7114–7114. 21 indexed citations
15.
Coyote‐Maestas, Willow, Yungui He, Chad L. Myers, & Daniel Schmidt. (2019). Domain insertion permissibility-guided engineering of allostery in ion channels. Nature Communications. 10(1). 20 indexed citations
16.
Coyote‐Maestas, Willow, et al.. (2019). Targeted insertional mutagenesis libraries for deep domain insertion profiling. Nucleic Acids Research. 48(2). e11–e11. 19 indexed citations
17.
Heal, Katherine R., Wei Qin, François Ribalet, et al.. (2016). Two distinct pools of B 12 analogs reveal community interdependencies in the ocean. Proceedings of the National Academy of Sciences. 114(2). 364–369. 145 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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