Maia Kinnebrew

981 total citations
17 papers, 626 citations indexed

About

Maia Kinnebrew is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maia Kinnebrew has authored 17 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maia Kinnebrew's work include Hedgehog Signaling Pathway Studies (9 papers), Epigenetics and DNA Methylation (5 papers) and Photoreceptor and optogenetics research (4 papers). Maia Kinnebrew is often cited by papers focused on Hedgehog Signaling Pathway Studies (9 papers), Epigenetics and DNA Methylation (5 papers) and Photoreceptor and optogenetics research (4 papers). Maia Kinnebrew collaborates with scholars based in United States, United Kingdom and Australia. Maia Kinnebrew's co-authors include Rajat Rohatgi, Songi Han, Christian Siebold, Jennifer H. Kong, Ànna Pavlova, Ganesh V. Pusapati, Bhaven B. Patel, Sunyia Hussain, Katherine M. Stone and Giovanni Luchetti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Molecular Biology.

In The Last Decade

Maia Kinnebrew

16 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maia Kinnebrew United States 11 481 169 94 71 65 17 626
Jennifer L. Hazen United States 9 886 1.8× 154 0.9× 162 1.7× 32 0.5× 57 0.9× 11 1.0k
Ying J. Buechler United States 7 649 1.3× 92 0.5× 130 1.4× 116 1.6× 66 1.0× 8 830
Robert DeRose United States 9 579 1.2× 108 0.6× 119 1.3× 47 0.7× 70 1.1× 11 766
Liangqi Xie United States 12 963 2.0× 92 0.5× 44 0.5× 192 2.7× 108 1.7× 21 1.3k
Michal Szczepek Germany 13 774 1.6× 125 0.7× 269 2.9× 28 0.4× 25 0.4× 21 903
Mayu Sugiyama Japan 9 426 0.9× 72 0.4× 43 0.5× 119 1.7× 36 0.6× 15 641
Yinghua Guan United States 11 561 1.2× 240 1.4× 48 0.5× 34 0.5× 60 0.9× 12 753
Sambashiva Banala United States 11 957 2.0× 106 0.6× 121 1.3× 132 1.9× 82 1.3× 16 1.2k
Madhusudan Natarajan United States 8 398 0.8× 51 0.3× 111 1.2× 22 0.3× 63 1.0× 11 648
Alejandra Leo‐Macías United States 17 700 1.5× 41 0.2× 111 1.2× 47 0.7× 120 1.8× 21 1.0k

Countries citing papers authored by Maia Kinnebrew

Since Specialization
Citations

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

Fields of papers citing papers by Maia Kinnebrew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maia Kinnebrew. 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 Maia Kinnebrew. The network helps show where Maia Kinnebrew may publish in the future.

Co-authorship network of co-authors of Maia Kinnebrew

This figure shows the co-authorship network connecting the top 25 collaborators of Maia Kinnebrew. A scholar is included among the top collaborators of Maia Kinnebrew 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 Maia Kinnebrew. Maia Kinnebrew 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.
Patel, Chandni, Parijat Sarkar, Hermann Broder Schmidt, et al.. (2025). Direct ionic stress sensing and mitigation by the transcription factor NFAT5. Science Advances. 11(8). eadu3194–eadu3194. 1 indexed citations
2.
Gao, Lei, Chris Williams, Christian Siebold, et al.. (2025). The E3 ubiquitin ligase MGRN1 targets melanocortin receptors MC1R and MC4R via interactions with transmembrane adapters. Journal of Cell Science. 138(23).
3.
Xu, Shimeng, Hong Chen, Shili Li, et al.. (2024). A cholesterol-binding bacterial toxin provides a strategy for identifying a specific Scap inhibitor that blocks lipid synthesis in animal cells. Proceedings of the National Academy of Sciences. 121(7). e2318024121–e2318024121. 7 indexed citations
4.
Ansell, T. Bertie, Robin A. Corey, Maia Kinnebrew, et al.. (2023). The energetics and ion coupling of cholesterol transport through Patched1. Science Advances. 9(34). eadh1609–eadh1609. 3 indexed citations
5.
Kinnebrew, Maia, Rachel E. Woolley, T. Bertie Ansell, et al.. (2022). Patched 1 regulates Smoothened by controlling sterol binding to its extracellular cysteine-rich domain. Science Advances. 8(22). eabm5563–eabm5563. 31 indexed citations
6.
Hussain, Sunyia, Maia Kinnebrew, Matthew N. Idso, et al.. (2022). Lipid membrane mimetics and oligomerization tune functional properties of proteorhodopsin. Biophysical Journal. 122(1). 168–179. 2 indexed citations
7.
Kinnebrew, Maia, Kristen Johnson, Arun Radhakrishnan, & Rajat Rohatgi. (2021). Measuring and Manipulating Membrane Cholesterol for the Study of Hedgehog Signaling. Methods in molecular biology. 2374. 73–87. 1 indexed citations
8.
Gokhman, David, Maia Kinnebrew, Danqiong Sun, et al.. (2021). Human–chimpanzee fused cells reveal cis-regulatory divergence underlying skeletal evolution. Nature Genetics. 53(4). 467–476. 41 indexed citations
9.
Kinnebrew, Maia, Giovanni Luchetti, Ria Sircar, et al.. (2021). Patched 1 reduces the accessibility of cholesterol in the outer leaflet of membranes. eLife. 10. 37 indexed citations
10.
Kinnebrew, Maia, T. Bertie Ansell, Kamel El Omari, et al.. (2019). The morphogen Sonic hedgehog inhibits its receptor Patched by a pincer grasp mechanism. Nature Chemical Biology. 15(10). 975–982. 52 indexed citations
11.
Woolley, Rachel E., et al.. (2019). Structures of vertebrate Patched and Smoothened reveal intimate links between cholesterol and Hedgehog signalling. Current Opinion in Structural Biology. 57. 204–214. 43 indexed citations
12.
Kinnebrew, Maia, Bhaven B. Patel, Ganesh V. Pusapati, et al.. (2019). Cholesterol accessibility at the ciliary membrane controls hedgehog signaling. eLife. 8. 102 indexed citations
13.
Pusapati, Ganesh V., Jennifer H. Kong, Bhaven B. Patel, et al.. (2017). CRISPR Screens Uncover Genes that Regulate Target Cell Sensitivity to the Morphogen Sonic Hedgehog. Developmental Cell. 44(1). 113–129.e8. 95 indexed citations
14.
Hussain, Sunyia, et al.. (2015). Functional Consequences of the Oligomeric Assembly of Proteorhodopsin. Journal of Molecular Biology. 427(6). 1278–1290. 35 indexed citations
15.
Pavlova, Ànna, Chi‐Yuan Cheng, Maia Kinnebrew, et al.. (2015). Protein structural and surface water rearrangement constitute major events in the earliest aggregation stages of tau. Proceedings of the National Academy of Sciences. 113(2). E127–36. 65 indexed citations
16.
Edwards, Devin T., Thomas Huber, Sunyia Hussain, et al.. (2014). Determining the Oligomeric Structure of Proteorhodopsin by Gd3+-Based Pulsed Dipolar Spectroscopy of Multiple Distances. Structure. 22(11). 1677–1686. 66 indexed citations
17.
Stone, Katherine M., et al.. (2013). Structural Insight into Proteorhodopsin Oligomers. Biophysical Journal. 104(2). 472–481. 45 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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