R. Huby

2.1k total citations
57 papers, 1.8k citations indexed

About

R. Huby is a scholar working on Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics and Molecular Biology. According to data from OpenAlex, R. Huby has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 20 papers in Nuclear and High Energy Physics and 13 papers in Molecular Biology. Recurrent topics in R. Huby's work include Nuclear physics research studies (20 papers), Advanced NMR Techniques and Applications (10 papers) and Atomic and Molecular Physics (9 papers). R. Huby is often cited by papers focused on Nuclear physics research studies (20 papers), Advanced NMR Techniques and Applications (10 papers) and Atomic and Molecular Physics (9 papers). R. Huby collaborates with scholars based in United Kingdom, United States and Sweden. R. Huby's co-authors include H C Newns, Steven C. Ley, Kun Huang, A. B. Bhatia, John J. Harding, G.R. Satchler, Ian Kimber, Rebecca J. Dearman, B. J. Cole and Arthur Weiss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

R. Huby

57 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Huby United Kingdom 22 629 521 324 319 295 57 1.8k
F. E. Bertrand United States 27 1.1k 1.8× 571 1.1× 1.1k 3.4× 418 1.3× 453 1.5× 81 3.3k
Richard A. Ward United States 41 521 0.8× 304 0.6× 1.9k 5.7× 874 2.7× 184 0.6× 150 5.5k
Yasuo Yamamoto Japan 35 2.7k 4.3× 906 1.7× 441 1.4× 107 0.3× 72 0.2× 231 5.0k
Henry Brysk United States 17 499 0.8× 353 0.7× 144 0.4× 83 0.3× 353 1.2× 79 1.3k
T. Kishimoto Japan 20 641 1.0× 124 0.2× 462 1.4× 607 1.9× 59 0.2× 56 2.2k
Richard Harkewicz United States 30 328 0.5× 202 0.4× 1.4k 4.3× 917 2.9× 196 0.7× 51 3.6k
M. Lacombe France 30 2.2k 3.5× 704 1.4× 1.0k 3.1× 113 0.4× 171 0.6× 99 4.1k
Aart Verhoef Netherlands 28 434 0.7× 2.1k 4.1× 462 1.4× 93 0.3× 67 0.2× 100 3.8k
H. Shimizu Japan 29 529 0.8× 187 0.4× 1.0k 3.2× 113 0.4× 141 0.5× 120 2.4k
David J.E. Callaway United States 27 585 0.9× 415 0.8× 1.1k 3.4× 267 0.8× 34 0.1× 72 2.7k

Countries citing papers authored by R. Huby

Since Specialization
Citations

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

Fields of papers citing papers by R. Huby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of R. Huby. A scholar is included among the top collaborators of R. Huby 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. Huby. R. Huby 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.
Pommier, Aurélien, Matthew R. Farren, Bhavika Patel, et al.. (2015). Leptin, BMI, and a Metabolic Gene Expression Signature Associated with Clinical Outcome to VEGF Inhibition in Colorectal Cancer. Cell Metabolism. 23(1). 77–93. 15 indexed citations
2.
Huby, R., et al.. (2014). The Incidence of Sexually Dimorphic Gene Expression Varies Greatly between Tissues in the Rat. PLoS ONE. 9(12). e115792–e115792. 12 indexed citations
3.
Tugwood, Jonathan, et al.. (2012). Fibrodysplasia Induced in Dog Skin by a Matrix Metalloproteinase (MMP) Inhibitor—A Mechanistic Analysis. Toxicological Sciences. 127(1). 236–245. 4 indexed citations
4.
Hultin‐Rosenberg, Lina, Sujatha Jagannathan, Kerstin Nilsson, et al.. (2006). Predictive models of hepatotoxicity using gene expression data from primary rat hepatocytes. Xenobiotica. 36(10-11). 1122–1139. 18 indexed citations
5.
Eren, Efrem, J. Yates, Kate Cwynarski, et al.. (2005). Location of Major Histocompatibility Complex Class II Molecules in Rafts on Dendritic Cells Enhances the Efficiency of T‐Cell Activation and Proliferation. Scandinavian Journal of Immunology. 63(1). 7–16. 34 indexed citations
6.
Pole, Jessica C., Leslie I. Gold, Terry C. Orton, R. Huby, & Paul L. Carmichael. (2004). Gene expression changes induced by estrogen and selective estrogen receptor modulators in primary-cultured human endometrial cells: signals that distinguish the human carcinogen tamoxifen. Toxicology. 206(1). 91–109. 26 indexed citations
7.
Huby, R.. (2000). Why Are Some Proteins Allergens?. Toxicological Sciences. 55(2). 235–246. 212 indexed citations
8.
Huby, R., Rebecca J. Dearman, & Ian Kimber. (1999). Intracellular Phosphotyrosine Induction by Major Histocompatibility Complex Class II Requires Co-aggregation with Membrane Rafts. Journal of Biological Chemistry. 274(32). 22591–22596. 101 indexed citations
9.
Huby, R., Arthur Weiss, & Steven C. Ley. (1998). Nocodazole Inhibits Signal Transduction by the T Cell Antigen Receptor. Journal of Biological Chemistry. 273(20). 12024–12031. 42 indexed citations
10.
Huby, R., Ray Hicks, & Lindsey K. Goff. (1994). Kinetics of Thymocyte Subset Development and SelectionRevealed by Cyclosporin A Treatment. Journal of Immunology Research. 4(2). 117–126. 4 indexed citations
11.
Goff, Lindsey K. & R. Huby. (1992). Characterization of constitutive and strain-dependent subsets of CD45RA+ cells in the thymus. International Immunology. 4(11). 1303–1311. 9 indexed citations
12.
Huby, R. & Lindsey K. Goff. (1992). The variable occurrence of CD45RA on CD8+ thymocytes correlates with the presence of Mtv sequences; its expression on other thymocytes is rare. European Journal of Immunology. 22(6). 1659–1662. 3 indexed citations
13.
Harding, John H., et al.. (1989). Non-enzymic post-translational modification of proteins in aging. A review. Mechanisms of Ageing and Development. 50(1). 7–16. 47 indexed citations
14.
Huby, R. & John J. Harding. (1988). Non-enzymic glycosylation (glycation) of lens proteins by galactose and protection by aspirin and reduced glutathione. Experimental Eye Research. 47(1). 53–59. 76 indexed citations
15.
Cole, B. J., et al.. (1973). The application of the real Weinberg state method to unbound levels in13C formed by neutron scattering and (d,p) on12C. Journal of Physics A Mathematical Nuclear and General. 6(8). 1224–1243. 3 indexed citations
16.
Huby, R. & Jane L. Hutton. (1966). Form-factor calculations in direct reactions. Physics Letters. 19(8). 660–662. 27 indexed citations
17.
Huby, R.. (1963). Convergence of Born series and the existence of bound states. Nuclear Physics. 45. 473–480. 3 indexed citations
18.
Huby, R., et al.. (1958). Predictions of the distorted wave theory of deuteron stripping reactions. Nuclear Physics. 9(1). 94–107. 115 indexed citations
19.
Huby, R.. (1952). The theory of the deuteron stripping reaction. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 215(1122). 385–398. 15 indexed citations
20.
Huby, R. & H C Newns. (1951). Nuclear Excitation by Electric Interaction with Charged Particles. Proceedings of the Physical Society Section A. 64(7). 619–632. 16 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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