Deborah G. Murdock

56 total papers · 2.1k total citations
38 papers, 1.3k citations indexed

About

Deborah G. Murdock is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Deborah G. Murdock has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Infectious Diseases and 7 papers in Epidemiology. Recurrent topics in Deborah G. Murdock's work include Mitochondrial Function and Pathology (13 papers), Metabolism and Genetic Disorders (6 papers) and HIV Research and Treatment (6 papers). Deborah G. Murdock is often cited by papers focused on Mitochondrial Function and Pathology (13 papers), Metabolism and Genetic Disorders (6 papers) and HIV Research and Treatment (6 papers). Deborah G. Murdock collaborates with scholars based in United States, Israel and Germany. Deborah G. Murdock's co-authors include Douglas C. Wallace, Theodore G. Schurr, Michael D. Brown, Sabrina L. Mitchell, Adrian Flierl, Luke Esposito, Braden Boone, Christopher B. Jackson, Barbara A. Cottrell and Peter Seibel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Deborah G. Murdock

37 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Deborah G. Murdock 922 285 214 147 114 38 1.3k
Nigar Fatma 1.1k 1.2× 106 0.4× 122 0.6× 96 0.7× 142 1.2× 45 1.6k
H. Ross Payne 828 0.9× 85 0.3× 142 0.7× 83 0.6× 136 1.2× 48 1.6k
Nune Darbinian 932 1.0× 58 0.2× 273 1.3× 183 1.2× 91 0.8× 66 1.7k
Y. S. Shin 459 0.5× 592 2.1× 280 1.3× 278 1.9× 33 0.3× 75 1.5k
Kiyoshi Yasui 620 0.7× 537 1.9× 142 0.7× 128 0.9× 101 0.9× 40 1.6k
Mary G. Wetzel 655 0.7× 60 0.2× 240 1.1× 70 0.5× 120 1.1× 21 1.5k
Dustin Singer 655 0.7× 106 0.4× 113 0.5× 213 1.4× 226 2.0× 14 1.2k
Paule Frachon 1.4k 1.6× 569 2.0× 151 0.7× 98 0.7× 35 0.3× 23 1.7k
Aurora Gómez-Durán 1.1k 1.2× 455 1.6× 113 0.5× 140 1.0× 38 0.3× 37 1.4k
Aki Hirai 686 0.7× 214 0.8× 128 0.6× 190 1.3× 29 0.3× 27 1.3k

Countries citing papers authored by Deborah G. Murdock

Since Specialization
Citations

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

Fields of papers citing papers by Deborah G. Murdock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah G. Murdock. 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 Deborah G. Murdock. The network helps show where Deborah G. Murdock may publish in the future.

Co-authorship network of co-authors of Deborah G. Murdock

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah G. Murdock. A scholar is included among the top collaborators of Deborah G. Murdock 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 Deborah G. Murdock. Deborah G. Murdock 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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