Cliff I. Stains

1.5k total citations
52 papers, 1.2k citations indexed

About

Cliff I. Stains is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Cliff I. Stains has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Spectroscopy and 8 papers in Organic Chemistry. Recurrent topics in Cliff I. Stains's work include Protein Kinase Regulation and GTPase Signaling (9 papers), Molecular Sensors and Ion Detection (8 papers) and Nanoplatforms for cancer theranostics (7 papers). Cliff I. Stains is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (9 papers), Molecular Sensors and Ion Detection (8 papers) and Nanoplatforms for cancer theranostics (7 papers). Cliff I. Stains collaborates with scholars based in United States, India and Brazil. Cliff I. Stains's co-authors include Indraneel Ghosh, David J. Segal, Xinqi Zhou, Jason R. Porter, Aik T. Ooi, Rui Lai, Kalyani Mondal, Jennifer L. Furman, Jia Zhao and Hui Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Cliff I. Stains

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cliff I. Stains United States 19 773 234 205 175 150 52 1.2k
Ji Hye Hong South Korea 13 443 0.6× 221 0.9× 149 0.7× 411 2.3× 76 0.5× 17 1.1k
Khalilah G. Reddie United States 10 713 0.9× 224 1.0× 92 0.4× 288 1.6× 196 1.3× 11 1.2k
Juan A. González‐Vera Spain 18 419 0.5× 212 0.9× 73 0.4× 180 1.0× 281 1.9× 51 841
Nicole D. Barth United Kingdom 17 461 0.6× 220 0.9× 278 1.4× 73 0.4× 240 1.6× 28 1.1k
Suihan Feng Switzerland 16 564 0.7× 441 1.9× 132 0.6× 201 1.1× 201 1.3× 32 1.0k
Craig A. McElroy United States 18 447 0.6× 122 0.5× 107 0.5× 129 0.7× 66 0.4× 43 1.0k
Nam‐Young Kang Singapore 23 771 1.0× 589 2.5× 530 2.6× 379 2.2× 286 1.9× 60 1.8k
Brigitte F. Schmidt United States 21 883 1.1× 197 0.8× 149 0.7× 85 0.5× 333 2.2× 60 1.5k
Myeong‐Gyun Kang South Korea 14 616 0.8× 237 1.0× 233 1.1× 77 0.4× 289 1.9× 25 1.2k
Hideo Takakura Japan 19 672 0.9× 196 0.8× 487 2.4× 104 0.6× 158 1.1× 45 1.3k

Countries citing papers authored by Cliff I. Stains

Since Specialization
Citations

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

Fields of papers citing papers by Cliff I. Stains

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cliff I. Stains. 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 Cliff I. Stains. The network helps show where Cliff I. Stains may publish in the future.

Co-authorship network of co-authors of Cliff I. Stains

This figure shows the co-authorship network connecting the top 25 collaborators of Cliff I. Stains. A scholar is included among the top collaborators of Cliff I. Stains 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 Cliff I. Stains. Cliff I. Stains 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.
Zhou, Xinqi, et al.. (2025). Acoustic loudness factor as an experimental parameter for benchmarking small molecule photoacoustic probes. Nature Communications. 16(1). 3779–3779. 2 indexed citations
2.
He, Yuchen, et al.. (2024). Standardized Parts for Activation of Small GTPase Signaling in Living Cells. Angewandte Chemie International Edition. 63(44). e202403499–e202403499.
3.
Huang, Peirong, Kameshwari Ambati, Praveen Yerramothu, et al.. (2023). Kamuvudine-9 Protects Retinal Structure and Function in a Novel Model of Experimental Rhegmatogenous Retinal Detachment. Investigative Ophthalmology & Visual Science. 64(5). 3–3. 4 indexed citations
4.
Zhou, Xinqi, et al.. (2022). A long-wavelength xanthene dye for photoacoustic imaging. Chemical Communications. 58(85). 11941–11944. 16 indexed citations
5.
Ambati, Meenakshi, Ivana Apicella, Shao-Bin Wang, et al.. (2021). Identification of fluoxetine as a direct NLRP3 inhibitor to treat atrophic macular degeneration. Proceedings of the National Academy of Sciences. 118(41). 46 indexed citations
6.
Yuan, Fang, et al.. (2020). Synthesis and application of a ratiometric probe for hydrogen peroxide. Methods in enzymology on CD-ROM/Methods in enzymology. 639. 23–36. 4 indexed citations
7.
Stains, Cliff I., et al.. (2019). Design and synthesis of fluorescent activity probes for protein phosphatases. Methods in enzymology on CD-ROM/Methods in enzymology. 622. 29–53. 2 indexed citations
8.
Stains, Cliff I., et al.. (2018). Interrogating Protein Phosphatases with Chemical Activity Probes. Chemistry - A European Journal. 24(31). 7810–7824. 14 indexed citations
9.
Zhao, Jia & Cliff I. Stains. (2017). Identification of a fragmented small GTPase capable of conditional effector binding. RSC Advances. 7(20). 12265–12268. 2 indexed citations
10.
Harris, Edward N., et al.. (2017). Quantification of Cell Signaling Networks Using Kinase Activity Chemosensors. Methods in molecular biology. 1636. 61–70. 2 indexed citations
11.
Zhao, Jia, et al.. (2016). Luminescent platforms for monitoring changes in the solubility of amylin and huntingtin in living cells. Molecular BioSystems. 12(10). 2984–2987. 4 indexed citations
12.
Zhou, Xinqi, et al.. (2015). Design and evaluation of a real-time activity probe for focal adhesion kinase. Analytica Chimica Acta. 897. 62–68. 9 indexed citations
13.
Bechtel, Tyler J., et al.. (2015). A real-time, fluorescence-based assay for Rho-associated protein kinase activity. Analytica Chimica Acta. 891. 284–290. 12 indexed citations
14.
Stains, Cliff I., Nathan C. Tedford, Elvedin Luković, et al.. (2012). Interrogating Signaling Nodes Involved in Cellular Transformations Using Kinase Activity Probes. Chemistry & Biology. 19(2). 210–217. 31 indexed citations
15.
Stains, Cliff I., et al.. (2010). A General Approach for Receptor and Antibody-Targeted Detection of Native Proteins Utilizing Split-Luciferase Reassembly. ACS Chemical Biology. 5(10). 943–952. 26 indexed citations
16.
Furman, Jennifer L., Ahmed H. Badran, Jason R. Porter, et al.. (2010). Toward a General Approach for RNA-Templated Hierarchical Assembly of Split-Proteins. Journal of the American Chemical Society. 132(33). 11692–11701. 37 indexed citations
17.
Furman, Jennifer L., et al.. (2009). Systematic evaluation of split-fluorescent proteins for the direct detection of native and methylated DNA. Bioorganic & Medicinal Chemistry Letters. 19(14). 3748–3751. 10 indexed citations
18.
Stains, Cliff I., Kalyani Mondal, & Indraneel Ghosh. (2007). Molecules that Target beta‐Amyloid. ChemMedChem. 2(12). 1674–1692. 93 indexed citations
19.
Ghosh, Indraneel, Cliff I. Stains, Aik T. Ooi, & David J. Segal. (2006). Direct detection of double-stranded DNA: molecular methods and applications for DNA diagnostics. Molecular BioSystems. 2(11). 551–560. 87 indexed citations
20.
Stains, Cliff I., Jennifer L. Furman, David J. Segal, & Indraneel Ghosh. (2006). Site-Specific Detection of DNA Methylation Utilizing mCpG-SEER. Journal of the American Chemical Society. 128(30). 9761–9765. 75 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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