Amanda Doherty-Kirby

28 total papers · 1.2k total citations
22 papers, 950 citations indexed

About

Amanda Doherty-Kirby is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Amanda Doherty-Kirby has authored 22 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Spectroscopy. Recurrent topics in Amanda Doherty-Kirby's work include Enzyme Structure and Function (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Amanda Doherty-Kirby is often cited by papers focused on Enzyme Structure and Function (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Amanda Doherty-Kirby collaborates with scholars based in Canada, United States and United Kingdom. Amanda Doherty-Kirby's co-authors include Gilles Lajoie, Suzanne E. Dale, David E. Heinrichs, Cunjie Zhang, David W. Litchfield, Steve Wiseman, Marilyn Griffith, Barbara A. Moffatt, Daniel S.C. Yang and Fei Xiong and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Amanda Doherty-Kirby

22 papers receiving 918 citations

Author Peers

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

Author Last Decade Papers Cites
Amanda Doherty-Kirby 552 188 176 99 99 22 950
Ella Cederlund 490 0.9× 71 0.4× 143 0.8× 162 1.6× 46 0.5× 36 939
Lonnie D. Adams 594 1.1× 105 0.6× 88 0.5× 96 1.0× 124 1.3× 23 1.0k
Zheng Luo 493 0.9× 141 0.8× 166 0.9× 95 1.0× 33 0.3× 49 1.1k
Hiro Nakamura 643 1.2× 149 0.8× 294 1.7× 157 1.6× 61 0.6× 47 1.1k
W. W. Fish 693 1.3× 172 0.9× 177 1.0× 93 0.9× 68 0.7× 26 1.2k
Joseph J. Kolb 536 1.0× 64 0.3× 63 0.4× 75 0.8× 65 0.7× 17 1.1k
Gregg E. Davies 660 1.2× 53 0.3× 208 1.2× 93 0.9× 60 0.6× 26 1.2k
Hiroh Ikezawa 774 1.4× 85 0.5× 225 1.3× 119 1.2× 23 0.2× 30 1.1k
Sotiris Amillis 808 1.5× 190 1.0× 257 1.5× 112 1.1× 29 0.3× 38 1.0k
J. Béchet 801 1.5× 191 1.0× 167 0.9× 67 0.7× 53 0.5× 17 1.0k

Countries citing papers authored by Amanda Doherty-Kirby

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Doherty-Kirby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda Doherty-Kirby. 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 Doherty-Kirby. The network helps show where Amanda Doherty-Kirby may publish in the future.

Co-authorship network of co-authors of Amanda Doherty-Kirby

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