Steven D. Rees

726 total citations
10 papers, 560 citations indexed

About

Steven D. Rees is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Steven D. Rees has authored 10 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in Steven D. Rees's work include Drug Transport and Resistance Mechanisms (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Receptor Mechanisms and Signaling (2 papers). Steven D. Rees is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Receptor Mechanisms and Signaling (2 papers). Steven D. Rees collaborates with scholars based in United States, Russia and Germany. Steven D. Rees's co-authors include Geoffrey Chang, Aaron P. McGrath, Paul Szewczyk, Rupak Doshi, Sung Chang Lee, Qinghai Zhang, Ina L. Urbatsch, Houchao Tao, Graeme Milligan and J. Robert Lane and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Science Advances and Molecular Pharmacology.

In The Last Decade

Steven D. Rees

10 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven D. Rees United States 9 327 212 70 57 55 10 560
Brian San Francisco United States 15 609 1.9× 87 0.4× 46 0.7× 69 1.2× 19 0.3× 21 812
Maria Rosaria Faraone Mennella Italy 15 373 1.1× 256 1.2× 24 0.3× 64 1.1× 13 0.2× 54 771
Swapan Samanta India 12 222 0.7× 67 0.3× 37 0.5× 33 0.6× 11 0.2× 28 498
Nicole Rietzschel Germany 9 508 1.6× 38 0.2× 80 1.1× 89 1.6× 46 0.8× 9 837
Hwa-Young Kim South Korea 15 677 2.1× 110 0.5× 15 0.2× 37 0.6× 27 0.5× 26 954
Guilherme Razzera Brazil 13 365 1.1× 43 0.2× 20 0.3× 134 2.4× 19 0.3× 27 662
Joanne Beaver Australia 9 308 0.9× 40 0.2× 43 0.6× 60 1.1× 32 0.6× 10 513
Pei Cui China 15 192 0.6× 107 0.5× 36 0.5× 23 0.4× 7 0.1× 33 526
L. Sutherland United Kingdom 11 355 1.1× 112 0.5× 15 0.2× 33 0.6× 11 0.2× 14 664

Countries citing papers authored by Steven D. Rees

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Rees. 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 Steven D. Rees. The network helps show where Steven D. Rees may publish in the future.

Co-authorship network of co-authors of Steven D. Rees

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

All Works

10 of 10 papers shown
1.
Moult, John, Reinhard Albrecht, Geoffrey Chang, et al.. (2021). Computational models in the service of X‐ray and cryo‐ electron microscopy structure determination. Proteins Structure Function and Bioinformatics. 89(12). 1633–1646. 31 indexed citations
2.
Nicklisch, Sascha, et al.. (2021). Transporter-interfering chemicals inhibit P-glycoprotein of yellowfin tuna (Thunnus albacares). Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 248. 109101–109101. 7 indexed citations
3.
Maity, Koustav, John M. Heumann, Aaron P. McGrath, et al.. (2019). Cryo-EM structure of OSCA1.2 from Oryza sativa elucidates the mechanical basis of potential membrane hyperosmolality gating. Proceedings of the National Academy of Sciences. 116(28). 14309–14318. 82 indexed citations
4.
Zaramela, Lívia S., Cameron Martino, Frederico Alisson‐Silva, et al.. (2019). Gut bacteria responding to dietary change encode sialidases that exhibit preference for red meat-associated carbohydrates. Nature Microbiology. 4(12). 2082–2089. 65 indexed citations
5.
Kalogriopoulos, Nicholas A., Steven D. Rees, Tony Ngo, et al.. (2019). Structural basis for GPCR-independent activation of heterotrimeric Gi proteins. Proceedings of the National Academy of Sciences. 116(33). 16394–16403. 32 indexed citations
6.
Nicklisch, Sascha, Steven D. Rees, Aaron P. McGrath, et al.. (2016). Global marine pollutants inhibit P-glycoprotein: Environmental levels, inhibitory effects, and cocrystal structure. Science Advances. 2(4). e1600001–e1600001. 96 indexed citations
7.
Szewczyk, Paul, Houchao Tao, Aaron P. McGrath, et al.. (2015). Snapshots of ligand entry, malleable binding and induced helical movement in P-glycoprotein. Acta Crystallographica Section D Biological Crystallography. 71(3). 732–741. 151 indexed citations
8.
9.
Jones, Roger I. & Steven D. Rees. (1994). Characteristics of particle uptake by the phagotrophic phytoflagellate, Dinobryon divergens.. Lancaster EPrints (Lancaster University). 8. 97–110. 21 indexed citations
10.
Rees, Steven D., et al.. (1987). ASCORBIC ACID AND LIPID PEROXIDATION THE CROSS OVER EFFECT. 22. 241–252. 19 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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