R. Sutcliffe

3.2k total citations · 1 hit paper
103 papers, 2.3k citations indexed

About

R. Sutcliffe is a scholar working on Endocrinology, Diabetes and Metabolism, Organic Chemistry and Molecular Biology. According to data from OpenAlex, R. Sutcliffe has authored 103 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Organic Chemistry and 20 papers in Molecular Biology. Recurrent topics in R. Sutcliffe's work include Hormonal Regulation and Hypertension (13 papers), Radical Photochemical Reactions (13 papers) and Photochemistry and Electron Transfer Studies (10 papers). R. Sutcliffe is often cited by papers focused on Hormonal Regulation and Hypertension (13 papers), Radical Photochemical Reactions (13 papers) and Photochemistry and Electron Transfer Studies (10 papers). R. Sutcliffe collaborates with scholars based in United Kingdom, Canada and Australia. R. Sutcliffe's co-authors include D. J. H. Brock, J. A. Howard, B. Mile, Mehmet Bahar, A. H. Johnstone, Brynmor Mile, John N. Saddler, K. U. Ingold, Alwyn G. Davies and Alan J. Russell and has published in prestigious journals such as Nature, The Lancet and Journal of the American Chemical Society.

In The Last Decade

R. Sutcliffe

102 papers receiving 2.1k citations

Hit Papers

ALPHA-FETOPROTEIN IN THE ANTENATAL DIAGNOSIS OF ANENCEPHA... 1972 2026 1990 2008 1972 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Sutcliffe United Kingdom 25 418 370 361 279 252 103 2.3k
Robert F. Williams United States 33 627 1.5× 139 0.4× 92 0.3× 105 0.4× 129 0.5× 180 3.7k
Michèle C. Smith United States 25 1.2k 3.0× 89 0.2× 56 0.2× 67 0.2× 73 0.3× 46 2.4k
Hennady P. Shulha United States 27 2.1k 4.9× 139 0.4× 177 0.5× 164 0.6× 96 0.4× 52 3.2k
Jason Wong United States 22 528 1.3× 245 0.7× 103 0.3× 146 0.5× 19 0.1× 35 2.0k
Yôko Kobayashi Japan 26 487 1.2× 45 0.1× 152 0.4× 497 1.8× 270 1.1× 137 2.8k
Linda Columbus United States 25 1.3k 3.1× 51 0.1× 201 0.6× 451 1.6× 191 0.8× 58 2.5k
David K. Wood United States 34 1.4k 3.4× 49 0.1× 322 0.9× 237 0.8× 417 1.7× 175 4.1k
Michael R. James Australia 41 2.3k 5.4× 72 0.2× 165 0.5× 484 1.7× 143 0.6× 106 5.7k
Bernd Alois Zimmermann Germany 28 538 1.3× 56 0.2× 942 2.6× 423 1.5× 27 0.1× 139 2.5k
Thomas J. Lynch United States 37 1.7k 4.1× 418 1.1× 59 0.2× 105 0.4× 321 1.3× 144 5.1k

Countries citing papers authored by R. Sutcliffe

Since Specialization
Citations

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

Fields of papers citing papers by R. Sutcliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Sutcliffe. 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 R. Sutcliffe. The network helps show where R. Sutcliffe may publish in the future.

Co-authorship network of co-authors of R. Sutcliffe

This figure shows the co-authorship network connecting the top 25 collaborators of R. Sutcliffe. A scholar is included among the top collaborators of R. Sutcliffe 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 R. Sutcliffe. R. Sutcliffe 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.
2.
McAfee, B. J., et al.. (2001). RAPID EXTRACELLULAR ENZYME ASSAYS FOR SCREENING POTENTIAL ANTISAPSTAIN BIOLOGICAL CONTROL AGENTS. Wood and Fiber Science. 33(4). 648–661.
3.
Alonso, María Beatriz Durán, Paul G. Shiels, Thora A. Glencorse, et al.. (2001). A candidate gene for human neurodegenerative disorders: a rat PKCγ mutation causes a Parkinsonian syndrome. Nature Neuroscience. 4(11). 1061–1062. 25 indexed citations
4.
Bahar, Mehmet, A. H. Johnstone, & R. Sutcliffe. (1999). Investigation of students' cognitive structure in elementary genetics through word association tests. Journal of Biological Education. 33(3). 134–141. 232 indexed citations
5.
McBride, Martin, Nicky Craig, A. Michael Wallace, et al.. (1999). Cloning, Expression, and Physical Mapping of the 3β-Hydroxysteroid Dehydrogenase Gene Cluster (HSD3BP1–HSD3BP5) in Human. Genomics. 61(3). 277–284. 28 indexed citations
6.
Payne, Philip, et al.. (1998). Local cerebral glucose utilization in the AS/AGU rat: a mutant with movement disorders. European Journal of Neuroscience. 10(6). 1963–1967. 6 indexed citations
7.
9.
Payne, Philip, D. P. Gilmore, David A. Russell, et al.. (1997). Age changes in dopamine levels in the corpus striatum of Albino Swiss (AS) and AS/AGU mutant rats. Neuroscience Letters. 239(1). 54–56. 10 indexed citations
10.
Payne, Philip, D. P. Gilmore, Jane Byrne, et al.. (1996). Neostriatal dopamine depletion and locomotor abnormalities due to the Albino Swiss rat agu mutation. Neuroscience Letters. 213(3). 173–176. 16 indexed citations
11.
Corção, Gertrudes, et al.. (1995). Lateral Diffusion of Human CD2 Wild Type and Mutants with Large Deletions in the Transmembrane Domain. Biochemical and Biophysical Research Communications. 208(3). 1131–1136. 1 indexed citations
12.
McBride, Martin, Alan J. Russell, Keith Vass, et al.. (1995). The human 3β-hydroxysteroid dehydrogenase (3β-HSD) gene cluster on chromosome 1p13 contains a presumptive pseudogene; 3β-HSD and CYP17 do not segregate with dominantly inherited hirsutism. Journal of Molecular Endocrinology. 15(2). 167–176. 4 indexed citations
13.
Shiels, Paul G., et al.. (1995). Optimized protocols for typing 75 microsatellite loci in AS, PVG, F344, and BN rats. Mammalian Genome. 6(3). 214–215. 3 indexed citations
14.
Russell, Alan J., Dairena Gaffney, Christopher R.W. Edwards, & R. Sutcliffe. (1991). Non-synonymous polymorphism in the coding sequence of human 3-beta hydroxysteroid dehydrogenase (HSD3B). Nucleic Acids Research. 19(23). 6667–6667. 1 indexed citations
15.
Russell, Alan J., et al.. (1991). Synonymous polymorphism in the coding sequence of human 3-beta hydroxysteroid-5-ene dehydrogenase (HSD). Nucleic Acids Research. 19(5). 1172–1172. 4 indexed citations
16.
Sutcliffe, R., et al.. (1988). The effect of wood‐derived inhibitors on 2, 3‐butanediol production by Klebsiella pneumoniae. Biotechnology and Bioengineering. 31(6). 624–627. 24 indexed citations
17.
Howard, J. A., R. Sutcliffe, & Brynmor Mile. (1983). Cryochemical studies. 6. Electron spin resonance spectrum of silver cluster (Ag5). The Journal of Physical Chemistry. 87(13). 2268–2271. 40 indexed citations
18.
Horne, C. H. W., Wendy F. Paterson, & R. Sutcliffe. (1982). Localization of alpha-uterine protein in human endometrium. Reproduction. 65(2). 447–450. 9 indexed citations
19.
Sutcliffe, R., A.E. Bolton, Frank R. Sharp, L. V. B. Nicholson, & Roderick MacKinnon. (1980). Purification of human alpha uterine protein. Reproduction. 58(2). 435–442. 30 indexed citations
20.
Sutcliffe, R., et al.. (1978). Fetal- and uterine-specific antigens in human amniotic fluid. Reproduction. 54(1). 85–90. 18 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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