Sandra M. Correa-Garhwal

548 total citations
17 papers, 405 citations indexed

About

Sandra M. Correa-Garhwal is a scholar working on Biomaterials, Genetics and Molecular Biology. According to data from OpenAlex, Sandra M. Correa-Garhwal has authored 17 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomaterials, 11 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Sandra M. Correa-Garhwal's work include Silk-based biomaterials and applications (16 papers), Spider Taxonomy and Behavior Studies (6 papers) and Antimicrobial Peptides and Activities (5 papers). Sandra M. Correa-Garhwal is often cited by papers focused on Silk-based biomaterials and applications (16 papers), Spider Taxonomy and Behavior Studies (6 papers) and Antimicrobial Peptides and Activities (5 papers). Sandra M. Correa-Garhwal collaborates with scholars based in United States, Belgium and Canada. Sandra M. Correa-Garhwal's co-authors include Cheryl Y. Hayashi, Thomas H. Clarke, Nadia A. Ayoub, Paul Babb, R. Crystal Chaw, Benjamin F. Voight, Matjaž Kuntner, Ingi Agnarsson, Nicholas F. Lahens and John B. Hogenesch and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sandra M. Correa-Garhwal

16 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra M. Correa-Garhwal United States 10 285 241 177 81 67 17 405
R. Crystal Chaw United States 13 241 0.8× 231 1.0× 130 0.7× 65 0.8× 100 1.5× 19 423
Matthew A. Collin United States 13 529 1.9× 375 1.6× 152 0.9× 110 1.4× 114 1.7× 15 675
Elíbio L. Rech Brazil 10 393 1.4× 286 1.2× 66 0.4× 75 0.9× 52 0.8× 16 466
Daniela Bittencourt Brazil 9 254 0.9× 242 1.0× 84 0.5× 49 0.6× 41 0.6× 22 411
Kristin Kohler United States 9 278 1.0× 207 0.9× 62 0.4× 78 1.0× 46 0.7× 14 352
Rintaro Ohtoshi Japan 6 184 0.6× 143 0.6× 60 0.3× 39 0.5× 26 0.4× 8 237
Cecilia Boutry United States 8 334 1.2× 96 0.4× 119 0.7× 13 0.2× 80 1.2× 8 385
Myung‐Jin Moon South Korea 13 199 0.7× 74 0.3× 266 1.5× 48 0.6× 171 2.6× 87 493
Kenji Yukuhiro Japan 13 244 0.9× 212 0.9× 197 1.1× 41 0.5× 56 0.8× 26 556
Yuki Yoshida Japan 8 154 0.5× 208 0.9× 62 0.4× 32 0.4× 24 0.4× 22 468

Countries citing papers authored by Sandra M. Correa-Garhwal

Since Specialization
Citations

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

Fields of papers citing papers by Sandra M. Correa-Garhwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra M. Correa-Garhwal. 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 Sandra M. Correa-Garhwal. The network helps show where Sandra M. Correa-Garhwal may publish in the future.

Co-authorship network of co-authors of Sandra M. Correa-Garhwal

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

All Works

17 of 17 papers shown
1.
Correa-Garhwal, Sandra M., Richard H. Baker, Cheryl Y. Hayashi, et al.. (2025). Silk gland morphology of the net casting spider Deinopis spinosa (Araneae: Deinopidae). Journal of Arachnology. 53(1). 1 indexed citations
2.
3.
Ayoub, Nadia A., Richard H. Baker, Thomas L. Clarke, et al.. (2023). Orb weaver aggregate glue protein composition as a mechanism for rapid evolution of material properties. Frontiers in Ecology and Evolution. 11. 5 indexed citations
4.
Kelly, Sean D., Brent D. Opell, & Sandra M. Correa-Garhwal. (2022). Correlated evolution between orb weaver glue droplets and supporting fibres maintains their distinct biomechanical roles in adhesion. Journal of Evolutionary Biology. 35(6). 879–890. 5 indexed citations
5.
Correa-Garhwal, Sandra M., Richard H. Baker, Thomas H. Clarke, Nadia A. Ayoub, & Cheryl Y. Hayashi. (2022). The evolutionary history of cribellate orb-weaver capture thread spidroins. SHILAP Revista de lepidopterología. 22(1). 89–89. 8 indexed citations
6.
Ayoub, Nadia A., Kyle Friend, Thomas L. Clarke, et al.. (2021). Protein composition and associated material properties of cobweb spiders’ gumfoot glue droplets. Integrative and Comparative Biology. 61(4). 1459–1480. 12 indexed citations
7.
Sarkar, Sourangsu, Sandra M. Correa-Garhwal, Mikhail Zhernenkov, et al.. (2020). Ultrastructures and Mechanics of Annealed Nephila clavipes Major Ampullate Silk. Biomacromolecules. 21(3). 1186–1194. 4 indexed citations
8.
Correa-Garhwal, Sandra M., Paul Babb, Benjamin F. Voight, & Cheryl Y. Hayashi. (2020). Golden orb-weaving spider (Trichonephila clavipes) silk genes with sex-biased expression and atypical architectures. G3 Genes Genomes Genetics. 11(1). 12 indexed citations
9.
Correa-Garhwal, Sandra M., et al.. (2019). Spidroins and Silk Fibers of Aquatic Spiders. Scientific Reports. 9(1). 13656–13656. 23 indexed citations
10.
Correa-Garhwal, Sandra M., et al.. (2018). Silk genes and silk gene expression in the spider Tengella perfuga (Zoropsidae), including a potential cribellar spidroin (CrSp). PLoS ONE. 13(9). e0203563–e0203563. 12 indexed citations
11.
Correa-Garhwal, Sandra M., et al.. (2018). Semi‐aquatic spider silks: transcripts, proteins, and silk fibres of the fishing spider, Dolomedes triton (Pisauridae). Insect Molecular Biology. 28(1). 35–51. 9 indexed citations
12.
Correa-Garhwal, Sandra M., R. Crystal Chaw, Thomas H. Clarke, Nadia A. Ayoub, & Cheryl Y. Hayashi. (2017). Silk gene expression of theridiid spiders: implications for male-specific silk use. Zoology. 122. 107–114. 21 indexed citations
13.
Babb, Paul, Nicholas F. Lahens, Sandra M. Correa-Garhwal, et al.. (2017). The Nephila clavipes genome highlights the diversity of spider silk genes and their complex expression. Nature Genetics. 49(6). 895–903. 168 indexed citations
14.
Lane, A. Kelly, Matthew A. Collin, Sandra M. Correa-Garhwal, et al.. (2017). Duplication and concerted evolution of MiSp-encoding genes underlie the material properties of minor ampullate silks of cobweb weaving spiders. BMC Evolutionary Biology. 17(1). 78–78. 34 indexed citations
15.
Chaw, R. Crystal, Sandra M. Correa-Garhwal, Thomas H. Clarke, Nadia A. Ayoub, & Cheryl Y. Hayashi. (2015). Proteomic Evidence for Components of Spider Silk Synthesis from Black Widow Silk Glands and Fibers. Journal of Proteome Research. 14(10). 4223–4231. 53 indexed citations
16.
Correa-Garhwal, Sandra M. & Jessica E. Garb. (2014). Diverse Formulas for Spider Dragline Fibers Demonstrated by Molecular and Mechanical Characterization of Spitting Spider Silk. Biomacromolecules. 15(12). 4598–4605. 5 indexed citations
17.
Zobel-Thropp, Pamela A., Sandra M. Correa-Garhwal, Jessica E. Garb, & Greta J. Binford. (2013). Spit and Venom from Scytodes Spiders: A Diverse and Distinct Cocktail. Journal of Proteome Research. 13(2). 817–835. 33 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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