Michael Ritt

713 total citations
20 papers, 541 citations indexed

About

Michael Ritt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Michael Ritt has authored 20 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Michael Ritt's work include Protein Kinase Regulation and GTPase Signaling (10 papers), Receptor Mechanisms and Signaling (8 papers) and Neuropeptides and Animal Physiology (5 papers). Michael Ritt is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (10 papers), Receptor Mechanisms and Signaling (8 papers) and Neuropeptides and Animal Physiology (5 papers). Michael Ritt collaborates with scholars based in United States, India and China. Michael Ritt's co-authors include Sivaraj Sivaramakrishnan, Qiushu Chen, Yuze Sun, Xudong Fan, Rabia U. Malik, Xingwang Zhang, Roger K. Sunahara, Jun Guan, Ruth F. Sommese and Brian T. DeVree and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael Ritt

20 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Ritt United States 12 324 150 121 65 59 20 541
Xiaojun Shi United States 12 359 1.1× 129 0.9× 233 1.9× 40 0.6× 15 0.3× 19 718
Valentina Zuckerman United States 11 309 1.0× 84 0.6× 37 0.3× 30 0.5× 33 0.6× 11 511
Edwin Araúz United States 10 487 1.5× 70 0.5× 23 0.2× 63 1.0× 40 0.7× 14 727
Nathalie George Switzerland 7 545 1.7× 123 0.8× 28 0.2× 56 0.9× 92 1.6× 8 777
Robert DeRose United States 9 579 1.8× 119 0.8× 40 0.3× 86 1.3× 21 0.4× 11 766
Anneliese M. M. Gest United States 8 327 1.0× 84 0.6× 26 0.2× 53 0.8× 37 0.6× 13 568
Biswarathan Ramani United States 7 420 1.3× 139 0.9× 20 0.2× 55 0.8× 15 0.3× 10 542
Thomas Flores United States 9 78 0.2× 178 1.2× 100 0.8× 76 1.2× 10 0.2× 17 391
Priyanka Prakash United States 21 1.1k 3.4× 54 0.4× 70 0.6× 45 0.7× 44 0.7× 37 1.3k
Reuven Tirosh Israel 15 242 0.7× 52 0.3× 24 0.2× 152 2.3× 141 2.4× 45 606

Countries citing papers authored by Michael Ritt

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ritt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ritt

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

All Works

20 of 20 papers shown
1.
Ma, Ning, et al.. (2023). Autoregulation of GPCR signalling through the third intracellular loop. Nature. 615(7953). 734–741. 52 indexed citations
2.
Rai, Ashim, et al.. (2022). Multimodal regulation of myosin VI ensemble transport by cargo adaptor protein GIPC. Journal of Biological Chemistry. 298(3). 101688–101688. 6 indexed citations
3.
Ma, Ning, et al.. (2021). Kinase inhibitors allosterically disrupt a regulatory interaction to enhance PKCα membrane translocation. Journal of Biological Chemistry. 296. 100339–100339. 3 indexed citations
4.
Ritt, Michael, et al.. (2021). β2-adrenoceptor ligand efficacy is tuned by a two-stage interaction with the Gαs C terminus. Proceedings of the National Academy of Sciences. 118(11). 10 indexed citations
5.
Kumari, Ruchi, Ashim Rai, Michael Ritt, et al.. (2021). KIF13A motors are regulated by Rab22A to function as weak dimers inside the cell. Science Advances. 7(6). 13 indexed citations
6.
Rai, Ashim, et al.. (2020). Dynamic multimerization of Dab2–Myosin VI complexes regulates cargo processivity while minimizing cortical actin reorganization. Journal of Biological Chemistry. 296. 100232–100232. 10 indexed citations
7.
Ritt, Michael, et al.. (2020). ER/K-link—Leveraging a native protein linker to probe dynamic cellular interactions. Methods in enzymology on CD-ROM/Methods in enzymology. 647. 173–208. 7 indexed citations
8.
Ritt, Michael, et al.. (2019). Minute-scale persistence of a GPCR conformation state triggered by non-cognate G protein interactions primes signaling. Nature Communications. 10(1). 4836–4836. 19 indexed citations
9.
Ritt, Michael & Sivaraj Sivaramakrishnan. (2018). Engaging myosin VI tunes motility, morphology and identity in endocytosis. Traffic. 19(9). 710–722. 2 indexed citations
10.
Malik, Rabia U., Matthew Dysthe, Michael Ritt, Roger K. Sunahara, & Sivaraj Sivaramakrishnan. (2017). ER/K linked GPCR-G protein fusions systematically modulate second messenger response in cells. Scientific Reports. 7(1). 7749–7749. 19 indexed citations
11.
Sommese, Ruth F., et al.. (2017). The Role of Regulatory Domains in Maintaining Autoinhibition in the Multidomain Kinase PKCα. Journal of Biological Chemistry. 292(7). 2873–2880. 14 indexed citations
12.
Malik, Rabia U., et al.. (2017). Priming GPCR signaling through the synergistic effect of two G proteins. Proceedings of the National Academy of Sciences. 114(14). 3756–3761. 30 indexed citations
13.
Sommese, Ruth F., et al.. (2016). Calcium Stimulates Self-Assembly of Protein Kinase C α In Vitro. PLoS ONE. 11(10). e0162331–e0162331. 10 indexed citations
14.
Ritt, Michael & Sivaraj Sivaramakrishnan. (2016). Correlation between Activity and Domain Complementation in Adenylyl Cyclase Demonstrated with a Novel Fluorescence Resonance Energy Transfer Sensor. Molecular Pharmacology. 89(4). 407–412. 5 indexed citations
15.
Baker, Gregory J., Peter Chockley, Viveka Nand Yadav, et al.. (2014). Natural Killer Cells Eradicate Galectin-1–Deficient Glioma in the Absence of Adaptive Immunity. Cancer Research. 74(18). 5079–5090. 61 indexed citations
16.
Ritt, Michael, et al.. (2014). Conserved Modular Domains Team up to Latch-open Active Protein Kinase Cα. Journal of Biological Chemistry. 289(25). 17812–17829. 21 indexed citations
17.
Chen, Qiushu, Michael Ritt, Sivaraj Sivaramakrishnan, Yuze Sun, & Xudong Fan. (2014). Optofluidic lasers with a single molecular layer of gain. Lab on a Chip. 14(24). 4590–4595. 69 indexed citations
18.
Malik, Rabia U., Michael Ritt, Brian T. DeVree, et al.. (2013). Detection of G Protein-selective G Protein-coupled Receptor (GPCR) Conformations in Live Cells. Journal of Biological Chemistry. 288(24). 17167–17178. 63 indexed citations
19.
Ritt, Michael, Jun Guan, & Sivaraj Sivaramakrishnan. (2013). Visualizing and Manipulating Focal Adhesion Kinase Regulation in Live Cells. Journal of Biological Chemistry. 288(13). 8875–8886. 34 indexed citations
20.
Chen, Qiushu, Xingwang Zhang, Yuze Sun, et al.. (2013). Highly sensitive fluorescent protein FRET detection using optofluidic lasers. Lab on a Chip. 13(14). 2679–2679. 93 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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