Ryan Q. Notti

938 total citations
10 papers, 576 citations indexed

About

Ryan Q. Notti is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ryan Q. Notti has authored 10 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Developmental Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ryan Q. Notti's work include Lipid Membrane Structure and Behavior (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Pluripotent Stem Cells Research (2 papers). Ryan Q. Notti is often cited by papers focused on Lipid Membrane Structure and Behavior (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Pluripotent Stem Cells Research (2 papers). Ryan Q. Notti collaborates with scholars based in United States. Ryan Q. Notti's co-authors include Joanne C. Conover, C. Erec Stebbins, Stephen B. Daniels, Jessica B. Lennington, Jie Luo, Mirjana Lilić, Shibani Bhattacharya, Thomas Walz, Beatrix Ueberheide and Zhonglei Chen and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Biochemistry.

In The Last Decade

Ryan Q. Notti

9 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Q. Notti United States	7	273	259	122	97	92	10	576
Sandra Acosta Spain	12	307 1.1×	87 0.3×	119 1.0×	84 0.9×	17 0.2×	21	482
Lisa R. Banner United States	14	308 1.1×	144 0.6×	347 2.8×	94 1.0×	80 0.9×	22	1.0k
N Valtz United States	9	665 2.4×	135 0.5×	124 1.0×	80 0.8×	33 0.4×	9	879
Andrew Vaillant United States	25	531 1.9×	113 0.4×	295 2.4×	67 0.7×	63 0.7×	77	2.3k
Virginie Courtois France	8	321 1.2×	49 0.2×	73 0.6×	111 1.1×	42 0.5×	13	450
Rajiv L. Joshi France	14	382 1.4×	28 0.1×	180 1.5×	64 0.7×	34 0.4×	18	599
Tsuyoshi Iida Japan	18	547 2.0×	116 0.4×	244 2.0×	70 0.7×	17 0.2×	40	998
Anna Rydström Sweden	13	510 1.9×	131 0.5×	226 1.9×	112 1.2×	7 0.1×	22	822
Eitan Erez Zahavi Israel	12	315 1.2×	39 0.2×	222 1.8×	61 0.6×	18 0.2×	15	617
Valeria Berton Italy	7	126 0.5×	97 0.4×	96 0.8×	17 0.2×	43 0.5×	9	393

Countries citing papers authored by Ryan Q. Notti

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Q. Notti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Q. Notti. 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 Ryan Q. Notti. The network helps show where Ryan Q. Notti may publish in the future.

Co-authorship network of co-authors of Ryan Q. Notti

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

All Works

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10 of 10 papers shown

Notti, Ryan Q., Søren Heissel, Martin Bush, et al.. (2025). The resting and ligand-bound states of the membrane-embedded human T-cell receptor–CD3 complex. Nature Communications. 16(1). 10996–10996. 1 indexed citations

Notti, Ryan Q., et al.. (2025). Nanodiscs remain indispensable for Cryo-EM studies of membrane proteins. Current Opinion in Structural Biology. 92. 103042–103042. 3 indexed citations

Notti, Ryan Q., et al.. (2024). Characterizing TP53 mutations in bone and soft tissue sarcoma.. Journal of Clinical Oncology. 42(16_suppl). e23521–e23521.

Notti, Ryan Q. & Thomas Walz. (2022). Native-like environments afford novel mechanistic insights into membrane proteins. Trends in Biochemical Sciences. 47(7). 561–569. 17 indexed citations

Chen, Zhonglei, Ryan Q. Notti, Beatrix Ueberheide, & Alexander J. Ruthenburg. (2017). Quantitative and Structural Assessment of Histone Methyllysine Analogue Engagement by Cognate Binding Proteins Reveals Affinity Decrements Relative to Those of Native Counterparts. Biochemistry. 57(3). 300–304. 19 indexed citations

Notti, Ryan Q. & C. Erec Stebbins. (2016). The Structure and Function of Type III Secretion Systems. Microbiology Spectrum. 4(1). 101 indexed citations

Notti, Ryan Q., Shibani Bhattacharya, Mirjana Lilić, & C. Erec Stebbins. (2015). A common assembly module in injectisome and flagellar type III secretion sorting platforms. Nature Communications. 6(1). 7125–7125. 64 indexed citations

Conover, Joanne C. & Ryan Q. Notti. (2007). The neural stem cell niche. Cell and Tissue Research. 331(1). 211–224. 110 indexed citations

Daniels, Stephen B., Jessica B. Lennington, Thomas Lardaro, et al.. (2006). Neuroblast protuberances in the subventricular zone of the regenerative MRL/MpJ mouse. The Journal of Comparative Neurology. 498(6). 747–761. 30 indexed citations

10.

Luo, Jie, Stephen B. Daniels, Jessica B. Lennington, Ryan Q. Notti, & Joanne C. Conover. (2006). The aging neurogenic subventricular zone. Aging Cell. 5(2). 139–152. 231 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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