Amber N. Murray

15 total papers · 2.0k total citations
10 papers, 1.5k citations indexed

About

Amber N. Murray is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, Amber N. Murray has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 2 papers in Organic Chemistry. Recurrent topics in Amber N. Murray's work include Alzheimer's disease research and treatments (5 papers), Prion Diseases and Protein Misfolding (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Amber N. Murray is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Prion Diseases and Protein Misfolding (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Amber N. Murray collaborates with scholars based in United States, Brazil and United Kingdom. Amber N. Murray's co-authors include Taryn J. Earley, Matt Petrus, Ardem Patapoutian, Jayanti Mathur, Ajay Dhaka, Gina M. Story, Kathryn Spencer, Sun Wook Hwang, Aziz Moqrich and Jeffery W. Kelly and has published in prestigious journals such as Science, Neuron and Biochemistry.

In The Last Decade

Amber N. Murray

10 papers receiving 1.5k citations

Hit Papers

TRPM8 Is Required for Col... 2005 2026 2012 2019 2007 2005 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Amber N. Murray 963 554 515 414 248 10 1.5k
Joshua Glazer 878 0.9× 503 0.9× 494 1.0× 245 0.6× 216 0.9× 16 1.3k
Wendy Knowlton 811 0.8× 664 1.2× 712 1.4× 364 0.9× 146 0.6× 10 1.5k
Suhas A. Kotecha 885 0.9× 835 1.5× 289 0.6× 714 1.7× 254 1.0× 11 1.8k
Kazuya Togashi 780 0.8× 333 0.6× 446 0.9× 399 1.0× 211 0.9× 15 1.4k
Yan Wang 872 0.9× 429 0.8× 404 0.8× 507 1.2× 165 0.7× 18 1.6k
Adam P. Christensen 1.1k 1.1× 549 1.0× 509 1.0× 330 0.8× 210 0.8× 6 1.5k
Cruz Morenilla‐Palao 928 1.0× 662 1.2× 634 1.2× 584 1.4× 180 0.7× 24 1.8k
Mary Lou Lubin 782 0.8× 442 0.8× 341 0.7× 270 0.7× 158 0.6× 16 1.2k
Andrei Segal 1.0k 1.1× 390 0.7× 312 0.6× 425 1.0× 305 1.2× 24 1.6k
Xuming Zhang 1.1k 1.1× 582 1.1× 832 1.6× 553 1.3× 165 0.7× 31 1.8k

Countries citing papers authored by Amber N. Murray

Since Specialization
Citations

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

Fields of papers citing papers by Amber N. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber N. Murray

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