Rahul S. Kathayat

1.6k total citations
18 papers, 639 citations indexed

About

Rahul S. Kathayat is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Rahul S. Kathayat has authored 18 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Rahul S. Kathayat's work include Peptidase Inhibition and Analysis (7 papers), Protease and Inhibitor Mechanisms (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Rahul S. Kathayat is often cited by papers focused on Peptidase Inhibition and Analysis (7 papers), Protease and Inhibitor Mechanisms (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Rahul S. Kathayat collaborates with scholars based in United States, Switzerland and India. Rahul S. Kathayat's co-authors include Bryan C. Dickinson, Saara‐Anne Azizi, Yang Cao, Nathaniel S. Finney, Michael Beck, Yuko Fukata, Masaki Fukata, Phoebe A. Rice, Kay F. Macleod and Maya Z. Springer and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Accounts of Chemical Research.

In The Last Decade

Rahul S. Kathayat

18 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul S. Kathayat United States 16 417 117 84 83 81 18 639
Jaimeen D. Majmudar United States 15 567 1.4× 113 1.0× 39 0.5× 142 1.7× 58 0.7× 24 813
Xiuhong Zhai United States 14 605 1.5× 108 0.9× 44 0.5× 32 0.4× 55 0.7× 30 815
Christopher J. Stubbs United Kingdom 15 509 1.2× 115 1.0× 48 0.6× 158 1.9× 54 0.7× 33 785
Iván Cornella‐Taracido United States 14 355 0.9× 96 0.8× 90 1.1× 70 0.8× 24 0.3× 20 714
S.L. Gande Germany 15 475 1.1× 133 1.1× 72 0.9× 130 1.6× 18 0.2× 30 718
Katiuscia Pagano Italy 16 497 1.2× 65 0.6× 125 1.5× 62 0.7× 36 0.4× 38 772
Tanmay Chavan United States 12 717 1.7× 135 1.2× 103 1.2× 106 1.3× 40 0.5× 17 931
Noriaki Tatsuta United States 12 426 1.0× 52 0.4× 55 0.7× 125 1.5× 67 0.8× 21 731
Deirdre A. Buckley Ireland 12 692 1.7× 101 0.9× 130 1.5× 79 1.0× 52 0.6× 13 905
Ina Yoon South Korea 14 460 1.1× 31 0.3× 74 0.9× 41 0.5× 85 1.0× 26 639

Countries citing papers authored by Rahul S. Kathayat

Since Specialization
Citations

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

Fields of papers citing papers by Rahul S. Kathayat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rahul S. Kathayat. 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 Rahul S. Kathayat. The network helps show where Rahul S. Kathayat may publish in the future.

Co-authorship network of co-authors of Rahul S. Kathayat

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

All Works

18 of 18 papers shown
1.
Adak, Sangeeta, George D. Spyropoulos, Qiang Zhang, et al.. (2023). Palmitoylation couples insulin hypersecretion with β cell failure in diabetes. Cell Metabolism. 35(2). 332–344.e7. 41 indexed citations
3.
Bender, Daniel A., Stefan Becker, Lisa M. Crowther, et al.. (2022). Cln5 represents a new type of cysteine-based S -depalmitoylase linked to neurodegeneration. Science Advances. 8(15). eabj8633–eabj8633. 17 indexed citations
4.
Gupta, Yash, Sumit Kumar, Samantha E. Zak, et al.. (2021). Antiviral evaluation of hydroxyethylamine analogs: Inhibitors of SARS-CoV-2 main protease (3CLpro), a virtual screening and simulation approach. Bioorganic & Medicinal Chemistry. 47. 116393–116393. 15 indexed citations
5.
Gupta, Yash, Samantha E. Zak, Krysten A. Jones, et al.. (2021). Bisindolylmaleimide IX: A novel anti-SARS-CoV2 agent targeting viral main protease 3CLpro demonstrated by virtual screening pipeline and in-vitro validation assays. Methods. 195. 57–71. 27 indexed citations
6.
Azizi, Saara‐Anne, et al.. (2021). Development of an Acrylamide-Based Inhibitor of Protein S -Acylation. ACS Chemical Biology. 16(8). 1546–1556. 41 indexed citations
7.
Wei, Xiaochao, Sangeeta Adak, Mohamed A. Zayed, et al.. (2020). Endothelial Palmitoylation Cycling Coordinates Vessel Remodeling in Peripheral Artery Disease. Circulation Research. 127(2). 249–265. 38 indexed citations
8.
Cao, Yang, Rahul S. Kathayat, Saara‐Anne Azizi, et al.. (2019). ABHD10 is an S-depalmitoylase affecting redox homeostasis through peroxiredoxin-5. Nature Chemical Biology. 15(12). 1232–1240. 93 indexed citations
9.
Glatter, Timo, Carina Saggau, Rahul S. Kathayat, et al.. (2019). Palmitoylation is required for TNF-R1 signaling. Cell Communication and Signaling. 17(1). 90–90. 40 indexed citations
10.
Azizi, Saara‐Anne, Rahul S. Kathayat, & Bryan C. Dickinson. (2019). Activity-Based Sensing of S-Depalmitoylases: Chemical Technologies and Biological Discovery. Accounts of Chemical Research. 52(11). 3029–3038. 25 indexed citations
11.
Kathayat, Rahul S. & Bryan C. Dickinson. (2019). Measuring S-Depalmitoylation Activity In Vitro and In Live Cells with Fluorescent Probes. Methods in molecular biology. 2009. 99–109. 6 indexed citations
12.
Kathayat, Rahul S., Yang Cao, Patrick A. Sandoz, et al.. (2018). Active and dynamic mitochondrial S-depalmitoylation revealed by targeted fluorescent probes. Nature Communications. 9(1). 334–334. 82 indexed citations
13.
Kulej, Katarzyna, Rahul S. Kathayat, Benjamin A. García, et al.. (2018). Wnt5a signaling induced phosphorylation increases APT1 activity and promotes melanoma metastatic behavior. eLife. 7. 36 indexed citations
14.
Kathayat, Rahul S., et al.. (2017). A Fluorescent Probe with Improved Water Solubility Permits the Analysis of Protein S-Depalmitoylation Activity in Live Cells. Biochemistry. 57(2). 221–225. 21 indexed citations
15.
Beck, Michael, Rahul S. Kathayat, Candace M. Cham, Eugene B. Chang, & Bryan C. Dickinson. (2017). Michael addition-based probes for ratiometric fluorescence imaging of protein S-depalmitoylases in live cells and tissues. Chemical Science. 8(11). 7588–7592. 32 indexed citations
16.
Kathayat, Rahul S., et al.. (2016). A fluorescent probe for cysteine depalmitoylation reveals dynamic APT signaling. Nature Chemical Biology. 13(2). 150–152. 66 indexed citations
17.
Kathayat, Rahul S., Lijun Yang, Tosaporn Sattasathuchana, et al.. (2016). On the Origins of Nonradiative Excited State Relaxation in Aryl Sulfoxides Relevant to Fluorescent Chemosensing. Journal of the American Chemical Society. 138(49). 15889–15895. 23 indexed citations
18.
Kathayat, Rahul S. & Nathaniel S. Finney. (2013). Sulfoxides as Response Elements for Fluorescent Chemosensors. Journal of the American Chemical Society. 135(34). 12612–12614. 34 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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