Roseileen M. Douglas

678 total citations
8 papers, 576 citations indexed

About

Roseileen M. Douglas is a scholar working on Molecular Medicine, Biochemistry and Cancer Research. According to data from OpenAlex, Roseileen M. Douglas has authored 8 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Medicine, 3 papers in Biochemistry and 3 papers in Cancer Research. Recurrent topics in Roseileen M. Douglas's work include Amino Acid Enzymes and Metabolism (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Roseileen M. Douglas is often cited by papers focused on Amino Acid Enzymes and Metabolism (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Roseileen M. Douglas collaborates with scholars based in United Kingdom, United States and Italy. Roseileen M. Douglas's co-authors include Ian R. Booth, Andrew W. Munro, R. Sartorio, Andrea Riccio, Lene Nielsen, P.A. Andreasen, Graeme Y. Ritchie, Andrew J. Lamb, Keld Danø and Francesco Blasi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and FEBS Letters.

In The Last Decade

Roseileen M. Douglas

8 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roseileen M. Douglas United Kingdom 8 243 238 192 86 59 8 576
C. J. F. van Noorden Netherlands 15 96 0.4× 224 0.9× 58 0.3× 35 0.4× 165 2.8× 29 763
Melvin Fox United States 11 217 0.9× 318 1.3× 95 0.5× 22 0.3× 266 4.5× 18 700
Edmund Choi United States 10 119 0.5× 366 1.5× 78 0.4× 63 0.7× 90 1.5× 14 790
Jared Wallace United States 14 336 1.4× 557 2.3× 119 0.6× 36 0.4× 76 1.3× 17 902
Jean‐Claude Lormeau France 14 111 0.5× 343 1.4× 249 1.3× 35 0.4× 35 0.6× 15 813
Kevin L. Peterson United States 22 393 1.6× 1000 4.2× 172 0.9× 36 0.4× 234 4.0× 40 1.6k
D. Tripier Germany 12 37 0.2× 253 1.1× 89 0.5× 87 1.0× 53 0.9× 22 498
Mee‐Young Ahn South Korea 18 95 0.4× 565 2.4× 90 0.5× 35 0.4× 116 2.0× 28 844
Ruth Ann Henriksen United States 14 51 0.2× 200 0.8× 177 0.9× 40 0.5× 51 0.9× 29 643

Countries citing papers authored by Roseileen M. Douglas

Since Specialization
Citations

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

Fields of papers citing papers by Roseileen M. Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roseileen M. Douglas

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

All Works

8 of 8 papers shown
1.
Miller, Samantha, et al.. (1997). Mutations in the Glutathione-gated KefC K+ Efflux System of Escherichia coli That Cause Constitutive Activation. Journal of Biological Chemistry. 272(40). 24942–24947. 29 indexed citations
2.
Douglas, Roseileen M., Graeme Y. Ritchie, Andrew W. Munro, Debbie McLaggan, & Ian R. Booth. (1994). The K+-efflux system, KefC, inEscherichia coli. Molecular Membrane Biology. 11(1). 55–61. 10 indexed citations
3.
Ferguson, Gail P., Andrew W. Munro, Roseileen M. Douglas, Debbie McLaggan, & Ian R. Booth. (1993). Activation of potassium channels during metabolite detoxification in Escherichia coli. Molecular Microbiology. 9(6). 1297–1303. 70 indexed citations
4.
Douglas, Roseileen M., James A. Roberts, Andrew W. Munro, et al.. (1991). The distribution of homologues of the Escherichia coli KefC K+-efflux system in other bacterial species. Journal of General Microbiology. 137(8). 1999–2005. 21 indexed citations
5.
Munro, Andrew W., Graeme Y. Ritchie, Andrew J. Lamb, Roseileen M. Douglas, & Ian R. Booth. (1991). The cloning and DNA sequence of the gene for the glutathione‐regulated potassium‐efflux system KefC of Escherichia coli. Molecular Microbiology. 5(3). 607–616. 79 indexed citations
6.
Lamb, Andrew J., et al.. (1990). Activation potassium efflux from Escherichia coli by glutathione metabolites. Molecular Microbiology. 4(3). 405–412. 68 indexed citations
7.
Klinger, K., Robert Winqvist, Andrea Riccio, et al.. (1987). Plasminogen activator inhibitor type 1 gene is located at region q21.3-q22 of chromosome 7 and genetically linked with cystic fibrosis.. Proceedings of the National Academy of Sciences. 84(23). 8548–8552. 105 indexed citations
8.
Andreasen, P.A., Andrea Riccio, Karen G. Welinder, et al.. (1986). Plasminogen activator inhibitor type‐1 : reactive center and amino‐terminal heterogeneity determined by protein and cDNA sequencing. FEBS Letters. 209(2). 213–218. 194 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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