Shaelyn Iyer

12 total papers · 537 total citations
2 papers, 371 citations indexed

About

Shaelyn Iyer is a scholar working on Molecular Biology, Ecology and Inorganic Chemistry. According to data from OpenAlex, Shaelyn Iyer has authored 2 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Ecology and 1 paper in Inorganic Chemistry. Recurrent topics in Shaelyn Iyer's work include Glycosylation and Glycoproteins Research (1 paper), Machine Learning in Materials Science (1 paper) and Bacteriophages and microbial interactions (1 paper). Shaelyn Iyer is often cited by papers focused on Glycosylation and Glycoproteins Research (1 paper), Machine Learning in Materials Science (1 paper) and Bacteriophages and microbial interactions (1 paper). Shaelyn Iyer collaborates with scholars based in United States and Canada. Shaelyn Iyer's co-authors include Debmalya Ray, Laura Gagliardi, Andrew Rosen, Justin M. Notestein, Zhenpeng Yao, Alán Aspuru‐Guzik, Randall Q. Snurr, Eric W. Roth, Jasmine M. Hershewe and Neha P. Kamat and has published in prestigious journals such as Nature Communications and Matter.

In The Last Decade

Shaelyn Iyer

2 papers receiving 365 citations

Hit Papers

Machine learning the quan... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shaelyn Iyer 263 174 47 44 44 2 371
Yeonghun Kang 254 1.0× 156 0.9× 19 0.4× 41 0.9× 40 0.9× 9 344
Ludwig Schwiedrzik 318 1.2× 80 0.5× 55 1.2× 93 2.1× 44 1.0× 6 374
Daniel Salley 272 1.0× 42 0.2× 46 1.0× 40 0.9× 61 1.4× 9 444
Ellyn Peters 159 0.6× 132 0.8× 66 1.4× 89 2.0× 10 0.2× 4 381
Chen Zhou 253 1.0× 21 0.1× 73 1.6× 137 3.1× 63 1.4× 5 424
Frisco Rose 275 1.0× 21 0.1× 31 0.7× 32 0.7× 45 1.0× 6 396
Timo Sommer 271 1.0× 18 0.1× 69 1.5× 139 3.2× 68 1.5× 5 418
Sii Hong Lau 97 0.4× 55 0.3× 61 1.3× 44 1.0× 15 0.3× 6 389
Marlen Neubert 253 1.0× 15 0.1× 68 1.4× 137 3.1× 62 1.4× 2 386
Kevin Tibbetts 336 1.3× 34 0.2× 14 0.3× 64 1.5× 104 2.4× 7 444

Countries citing papers authored by Shaelyn Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Shaelyn Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaelyn Iyer

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

All Works

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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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