Amanda L. Loshbaugh

9 total papers · 858 total citations
3 papers, 582 citations indexed

About

Amanda L. Loshbaugh is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Amanda L. Loshbaugh has authored 3 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Organic Chemistry and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Amanda L. Loshbaugh's work include RNA and protein synthesis mechanisms (2 papers), Click Chemistry and Applications (1 paper) and Advanced Memory and Neural Computing (1 paper). Amanda L. Loshbaugh is often cited by papers focused on RNA and protein synthesis mechanisms (2 papers), Click Chemistry and Applications (1 paper) and Advanced Memory and Neural Computing (1 paper). Amanda L. Loshbaugh collaborates with scholars based in United States and Japan. Amanda L. Loshbaugh's co-authors include Sho Yagishita, Yi Wu, Brian Kuhlman, Klaus M. Hahn, Haruo Kasai, Akiko Hayashi‐Takagi, Mayumi Nakamura, Tanja Kortemme, Michael C. Thompson and James S. Fraser and has published in prestigious journals such as Nature, Science and Proteins Structure Function and Bioinformatics.

In The Last Decade

Amanda L. Loshbaugh

3 papers receiving 580 citations

Hit Papers

Labelling and optical era... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Amanda L. Loshbaugh 329 226 220 71 48 3 582
Yasmin Escobedo-Lozoya 483 1.5× 159 0.7× 354 1.6× 46 0.6× 45 0.9× 6 659
Nima Marandi 505 1.5× 316 1.4× 253 1.1× 58 0.8× 61 1.3× 8 663
Wenqin Hu 488 1.5× 222 1.0× 331 1.5× 38 0.5× 30 0.6× 7 658
Matthew Barker 315 1.0× 257 1.1× 279 1.3× 72 1.0× 22 0.5× 10 683
Pamela Y. Ting 321 1.0× 83 0.4× 340 1.5× 60 0.8× 70 1.5× 7 551
Céline Auger 547 1.7× 237 1.0× 331 1.5× 62 0.9× 25 0.5× 10 620
Atsuya Takeuchi 249 0.8× 130 0.6× 216 1.0× 31 0.4× 37 0.8× 8 526
Xiaoxing Zhang 319 1.0× 257 1.1× 168 0.8× 81 1.1× 32 0.7× 17 618
Guochi Zhang 345 1.0× 115 0.5× 365 1.7× 37 0.5× 27 0.6× 12 657
Emily Hueske 374 1.1× 139 0.6× 307 1.4× 44 0.6× 40 0.8× 9 667

Countries citing papers authored by Amanda L. Loshbaugh

Since Specialization
Citations

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

Fields of papers citing papers by Amanda L. Loshbaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda L. Loshbaugh. 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 Amanda L. Loshbaugh. The network helps show where Amanda L. Loshbaugh may publish in the future.

Co-authorship network of co-authors of Amanda L. Loshbaugh

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda L. Loshbaugh. A scholar is included among the top collaborators of Amanda L. Loshbaugh 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 Amanda L. Loshbaugh. Amanda L. Loshbaugh 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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