Shaelyn Iyer

546 total citations · 1 hit paper
2 papers, 378 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 378 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), RNA and protein synthesis mechanisms (1 paper) and X-ray Diffraction in Crystallography (1 paper). Shaelyn Iyer is often cited by papers focused on Glycosylation and Glycoproteins Research (1 paper), RNA and protein synthesis mechanisms (1 paper) and X-ray Diffraction in Crystallography (1 paper). Shaelyn Iyer collaborates with scholars based in United States and Canada. Shaelyn Iyer's co-authors include Zhenpeng Yao, Debmalya Ray, Justin M. Notestein, Laura Gagliardi, Andrew Rosen, Randall Q. Snurr, Alán Aspuru‐Guzik, Jasmine M. Hershewe, Eric W. Roth and Justin A. Peruzzi and has published in prestigious journals such as Nature Communications and Matter.

In The Last Decade

Shaelyn Iyer

2 papers receiving 372 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery

2021 332 citations Andrew Rosen, Shaelyn Iyer et al. Matter profile →

Peers

Shaelyn Iyer

MC

IC

MB

CTM

EEE

Hyunwook Jung South Korea

Matthew C. Chan United States

Libin Zhang China

Daniela Stoeckel Germany

Ikhlass M. Abbas Egypt

Jiaping Zhu China

Gudbjorg Oskarsdottir United States

Janosh Riebesell United States

Simone Sieg Germany

Tianyi Wu Canada

Hyunwook Jung South Korea

Shaelyn Iyer

213 ×0.8

MC

38 ×0.2

IC

24 ×0.5

MB

37 ×0.8

CTM

57 ×1.3

EEE

Citations per year, relative to Shaelyn Iyer Shaelyn Iyer (= 1×) peers Hyunwook Jung

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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2 of 2 papers shown

1.

Hershewe, Jasmine M., Katherine F. Warfel, Shaelyn Iyer, et al.. (2021). Improving cell-free glycoprotein synthesis by characterizing and enriching native membrane vesicles. Nature Communications. 12(1). 2363–2363. 46 indexed citations

2.

Rosen, Andrew, Shaelyn Iyer, Debmalya Ray, et al.. (2021). Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery. Matter. 4(5). 1578–1597. 332 indexed citations breakdown →

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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