Amber L. Schuh

17 total papers · 1.0k total citations
15 papers, 782 citations indexed

About

Amber L. Schuh is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Amber L. Schuh has authored 15 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cell Biology, 10 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Amber L. Schuh's work include Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Amber L. Schuh is often cited by papers focused on Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Amber L. Schuh collaborates with scholars based in United States, United Kingdom and Germany. Amber L. Schuh's co-authors include Anjon Audhya, Jonathan R. Mayers, Ian Fyfe, J. Michael Edwardson, Michael G. Hanna, Lei Wang, John R. Yates, K. H. Witte, Marisa S. Otegui and Ali Sarkeshik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Amber L. Schuh

14 papers receiving 776 citations

Author Peers

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

Author Last Decade Papers Cites
Amber L. Schuh 486 466 109 91 66 15 782
Michael G. Hanna 434 0.9× 343 0.7× 69 0.6× 88 1.0× 56 0.8× 20 631
Mathilde Chaineau 420 0.9× 398 0.9× 92 0.8× 103 1.1× 46 0.7× 19 745
Dalia Halawani 390 0.8× 208 0.4× 84 0.8× 61 0.7× 108 1.6× 16 626
Ines Hahn 314 0.6× 273 0.6× 126 1.2× 57 0.6× 73 1.1× 25 688
Fred L. Robinson 423 0.9× 301 0.6× 118 1.1× 69 0.8× 54 0.8× 14 620
Heike Kroeger 630 1.3× 371 0.8× 110 1.0× 46 0.5× 154 2.3× 22 884
Wu‐Lin Charng 587 1.2× 227 0.5× 140 1.3× 50 0.5× 72 1.1× 17 801
Shoshiro Hirayama 524 1.1× 225 0.5× 117 1.1× 51 0.6× 119 1.8× 21 645
Wan Hee Yoon 420 0.9× 197 0.4× 100 0.9× 56 0.6× 53 0.8× 18 732
Andrea L. Marat 488 1.0× 421 0.9× 48 0.4× 84 0.9× 109 1.7× 11 888

Countries citing papers authored by Amber L. Schuh

Since Specialization
Citations

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

Fields of papers citing papers by Amber L. Schuh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber L. Schuh

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