Douglas B. Murray

2.2k total citations
43 papers, 1.5k citations indexed

About

Douglas B. Murray is a scholar working on Molecular Biology, Plant Science and Computer Networks and Communications. According to data from OpenAlex, Douglas B. Murray has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 16 papers in Plant Science and 7 papers in Computer Networks and Communications. Recurrent topics in Douglas B. Murray's work include Gene Regulatory Network Analysis (13 papers), Fungal and yeast genetics research (12 papers) and Plant and Biological Electrophysiology Studies (8 papers). Douglas B. Murray is often cited by papers focused on Gene Regulatory Network Analysis (13 papers), Fungal and yeast genetics research (12 papers) and Plant and Biological Electrophysiology Studies (8 papers). Douglas B. Murray collaborates with scholars based in Japan, United Kingdom and United States. Douglas B. Murray's co-authors include David Lloyd, Robert R. Klevecz, Hiroshi Kuriyama, Sibel Roller, Gerald L. Forrest, James L. Bolen, A. Satyanarayan Naidu, Manfred Beckmann, Hiroaki Kitano and Masaru Tomita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Reviews Molecular Cell Biology and PLoS ONE.

In The Last Decade

Douglas B. Murray

41 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Douglas B. Murray Japan 21 1.0k 456 201 178 160 43 1.5k
François Noël Brazil 25 1.0k 1.0× 157 0.3× 397 2.0× 41 0.2× 28 0.2× 132 2.4k
Stuart Brody United States 27 1.0k 1.0× 805 1.8× 357 1.8× 30 0.2× 655 4.1× 51 1.9k
Xiaodong Xu China 28 1.4k 1.4× 1.9k 4.1× 55 0.3× 57 0.3× 141 0.9× 64 2.5k
Véronique Gayrard France 28 303 0.3× 91 0.2× 51 0.3× 42 0.2× 126 0.8× 78 2.2k
James A. Svoboda United States 31 771 0.8× 353 0.8× 1.3k 6.4× 53 0.3× 56 0.3× 129 2.9k
Johann M. Rohwer South Africa 28 1.7k 1.7× 624 1.4× 33 0.2× 77 0.4× 12 0.1× 79 2.4k
Jinfa Wang China 24 1.2k 1.2× 1.9k 4.2× 34 0.2× 32 0.2× 19 0.1× 67 2.6k
R. Schnell United States 30 1.3k 1.2× 203 0.4× 109 0.5× 42 0.2× 70 0.4× 129 2.5k
Anders Olsen Denmark 15 576 0.6× 88 0.2× 87 0.4× 85 0.5× 241 1.5× 39 1.4k

Countries citing papers authored by Douglas B. Murray

Since Specialization
Citations

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

Fields of papers citing papers by Douglas B. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas B. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas B. Murray. A scholar is included among the top collaborators of Douglas B. 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 Douglas B. Murray. Douglas B. Murray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Murray, Douglas B. & David Lloyd. (2021). Multiple Rediscoveries and Misconceptions; the Yeast Metabolic Oscillation. Function. 2(5). zqab039–zqab039. 6 indexed citations
2.
Machné, Rainer, Douglas B. Murray, & Peter F. Stadler. (2017). Similarity-Based Segmentation of Multi-Dimensional Signals. Scientific Reports. 7(1). 12355–12355. 11 indexed citations
3.
Murray, Douglas B., et al.. (2015). Description of an On-Line Information System for Pediatric Pulmonary Patients. American Review of Respiratory Disease.
4.
Reed, Matthew J., et al.. (2015). Training paramedics in focussed echo in life support. European Journal of Emergency Medicine. 22(6). 430–435. 13 indexed citations
5.
Tomita, Masaru, et al.. (2014). Quantifying periodicity in omics data. Frontiers in Cell and Developmental Biology. 2. 40–40. 4 indexed citations
6.
Murray, Douglas B., Stephen Potts, J. Michael Ramsey, et al.. (2012). ‘Ivory wave’ toxicity in recreational drug users; integration of clinical and poisons information services to manage legal high poisoning. Clinical Toxicology. 50(2). 108–113. 25 indexed citations
7.
Machné, Rainer & Douglas B. Murray. (2012). The Yin and Yang of Yeast Transcription: Elements of a Global Feedback System between Metabolism and Chromatin. PLoS ONE. 7(6). e37906–e37906. 32 indexed citations
8.
Soga, Tomoyoshi, et al.. (2012). A Yeast Metabolite Extraction Protocol Optimised for Time-Series Analyses. PLoS ONE. 7(8). e44283–e44283. 27 indexed citations
9.
Murray, Douglas B., et al.. (2012). Rapid and Complete Bioavailability of Antidotes for Organophosphorus Nerve Agent and Cyanide Poisoning in Minipigs After Intraosseous Administration. Annals of Emergency Medicine. 60(4). 424–430. 21 indexed citations
10.
Müller, Stefan C., Douglas B. Murray, & Rainer Machné. (2012). A new dynamic model for highly efficient mass transfer in aerated bioreactors and consequences for kLa identification. Biotechnology and Bioengineering. 109(12). 2997–3006. 3 indexed citations
11.
Tomita, Masaru, et al.. (2011). Time-Structure of the Yeast Metabolism In vivo. Advances in experimental medicine and biology. 736. 359–379. 16 indexed citations
12.
Aon, Miguel A., Marc R. Roussel, Sonia Cortassa, et al.. (2008). The Scale-Free Dynamics of Eukaryotic Cells. PLoS ONE. 3(11). e3624–e3624. 57 indexed citations
13.
Murray, Douglas B. & David Lloyd. (2006). A tuneable attractor underlies yeast respiratory dynamics. Biosystems. 90(1). 287–294. 18 indexed citations
14.
Lloyd, David & Douglas B. Murray. (2005). Ultradian metronome: timekeeper for orchestration of cellular coherence. Trends in Biochemical Sciences. 30(7). 373–377. 80 indexed citations
15.
Adams, Claire, Hiroshi Kuriyama, David Lloyd, & Douglas B. Murray. (2003). The Gts1 protein stabilizes the autonomous oscillator in yeast. Yeast. 20(6). 463–470. 23 indexed citations
16.
Lloyd, David, et al.. (2002). Respiratory oscillations in yeast: clock‐driven mitochondrial cycles of energization. FEBS Letters. 519(1-3). 41–44. 38 indexed citations
17.
Klevecz, Robert R. & Douglas B. Murray. (2001). Genome wide oscillations in expression – Wavelet analysis of time series data from yeast expression arrays uncovers the dynamic architecture of phenotype. Molecular Biology Reports. 28(2). 73–82. 40 indexed citations
18.
Sohn, Ho-Yong, Douglas B. Murray, & Hiroshi Kuriyama. (2000). Ultradian oscillation ofSaccharomyces cerevisiae during aerobic continuous culture: hydrogen sulphide mediates population synchrony. Yeast. 16(13). 1185–1190. 75 indexed citations
19.
Murray, Douglas B., et al.. (1999). Involvement of glutathione in the regulation of respiratory oscillation during a continuous culture of Saccharomyces cerevisiae. Microbiology. 145(10). 2739–2745. 55 indexed citations
20.
Murray, Douglas B., et al.. (1998). NO+, but not NO⋅, inhibits respiratory oscillations in ethanol‐grown chemostat cultures of Saccharomyces cerevisiae. FEBS Letters. 431(2). 297–299. 38 indexed citations

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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