Nickolas K. Skamangas

464 total citations
8 papers, 306 citations indexed

About

Nickolas K. Skamangas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Nickolas K. Skamangas has authored 8 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Immunology. Recurrent topics in Nickolas K. Skamangas's work include Receptor Mechanisms and Signaling (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Genomics and Rare Diseases (2 papers). Nickolas K. Skamangas is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Genomics and Rare Diseases (2 papers). Nickolas K. Skamangas collaborates with scholars based in United States, United Kingdom and Netherlands. Nickolas K. Skamangas's co-authors include Ikuo Masuho, Kirill A. Martemyanov, Brian S. Muntean, Sreenivas Chavali, M. Madan Babu, Balaji Santhanam, J.J.G. Tesmer, Ronald L. Davis, Courtney MacMullen and Jacob A. Berry and has published in prestigious journals such as Cell, Immunity and Human Molecular Genetics.

In The Last Decade

Nickolas K. Skamangas

8 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nickolas K. Skamangas United States 7 196 116 62 31 28 8 306
Lamia Mestek United Kingdom 6 244 1.2× 113 1.0× 102 1.6× 41 1.3× 20 0.7× 8 377
Galina Karashchuk United States 6 225 1.1× 91 0.8× 39 0.6× 15 0.5× 47 1.7× 10 354
Lin Luo China 7 180 0.9× 65 0.6× 31 0.5× 56 1.8× 23 0.8× 22 343
Brice Ronsin France 10 159 0.8× 69 0.6× 46 0.7× 21 0.7× 31 1.1× 20 285
Kuo Yan Germany 7 228 1.2× 134 1.2× 47 0.8× 48 1.5× 17 0.6× 12 408
Gregor Zimmermann United States 10 357 1.8× 149 1.3× 38 0.6× 52 1.7× 32 1.1× 11 487
Yoshihiro Yuasa Japan 10 212 1.1× 109 0.9× 23 0.4× 47 1.5× 37 1.3× 17 337
Noriyuki Sugo Japan 12 432 2.2× 113 1.0× 55 0.9× 32 1.0× 14 0.5× 23 533
Mariam Orme United Kingdom 8 237 1.2× 93 0.8× 35 0.6× 62 2.0× 50 1.8× 9 324
Matthew C. Pahl United States 8 122 0.6× 46 0.4× 57 0.9× 14 0.5× 42 1.5× 17 210

Countries citing papers authored by Nickolas K. Skamangas

Since Specialization
Citations

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

Fields of papers citing papers by Nickolas K. Skamangas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nickolas K. Skamangas. 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 Nickolas K. Skamangas. The network helps show where Nickolas K. Skamangas may publish in the future.

Co-authorship network of co-authors of Nickolas K. Skamangas

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

All Works

8 of 8 papers shown
1.
Bailey, Charles C., Tianling Ou, Xin Liu, et al.. (2024). In vivo affinity maturation of the CD4 domains of an HIV-1-entry inhibitor. Nature Biomedical Engineering. 8(12). 1715–1729. 8 indexed citations
2.
He, Wenhui, Tianling Ou, Nickolas K. Skamangas, et al.. (2023). Heavy-chain CDR3-engineered B cells facilitate in vivo evaluation of HIV-1 vaccine candidates. Immunity. 56(10). 2408–2424.e6. 9 indexed citations
3.
Masuho, Ikuo, Nickolas K. Skamangas, Brian S. Muntean, & Kirill A. Martemyanov. (2021). Diversity of the Gβγ complexes defines spatial and temporal bias of GPCR signaling. Cell Systems. 12(4). 324–337.e5. 54 indexed citations
4.
Masuho, Ikuo, Balaji Santhanam, Brian S. Muntean, et al.. (2020). A Global Map of G Protein Signaling Regulation by RGS Proteins. Cell. 183(2). 503–521.e19. 100 indexed citations
5.
Masuho, Ikuo, Nickolas K. Skamangas, & Kirill A. Martemyanov. (2019). Live cell optical assay for precise characterization of receptors coupling to Gα12. Basic & Clinical Pharmacology & Toxicology. 126(S6). 88–95. 5 indexed citations
6.
Masuho, Ikuo, Sreenivas Chavali, Brian S. Muntean, et al.. (2018). Molecular Deconvolution Platform to Establish Disease Mechanisms by Surveying GPCR Signaling. Cell Reports. 24(3). 557–568.e5. 17 indexed citations
7.
Masuho, Ikuo, Jacob A. Berry, Courtney MacMullen, et al.. (2017). Dopamine Receptor DAMB Signals via Gq to Mediate Forgetting in Drosophila. Cell Reports. 21(8). 2074–2081. 72 indexed citations
8.
Lohmann, Katja, Ikuo Masuho, Dipak N. Patil, et al.. (2017). Novel GNB1 mutations disrupt assembly and function of G protein heterotrimers and cause global developmental delay in humans. Human Molecular Genetics. 26(6). ddx018–ddx018. 41 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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