James Hope

2.8k total citations
53 papers, 2.3k citations indexed

About

James Hope is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, James Hope has authored 53 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 15 papers in Neurology and 10 papers in Nutrition and Dietetics. Recurrent topics in James Hope's work include Prion Diseases and Protein Misfolding (35 papers), Neurological diseases and metabolism (15 papers) and Trace Elements in Health (10 papers). James Hope is often cited by papers focused on Prion Diseases and Protein Misfolding (35 papers), Neurological diseases and metabolism (15 papers) and Trace Elements in Health (10 papers). James Hope collaborates with scholars based in United Kingdom, United States and Hungary. James Hope's co-authors include Michael Landon, R. John Mayer, Lajos László, James M. Groarke, Mark A. Hermodson, I. McConnell, Angus Bell, Angela Chong, G. H. Bourne and Adam Humphries and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

James Hope

53 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Hope United Kingdom 29 1.7k 656 558 273 216 53 2.3k
Jeanne Grosclaude France 30 1.9k 1.1× 507 0.8× 688 1.2× 226 0.8× 273 1.3× 66 2.9k
Heather L. True United States 22 2.8k 1.6× 556 0.8× 317 0.6× 308 1.1× 273 1.3× 51 3.0k
Marı́a Gasset Spain 30 3.7k 2.2× 1.3k 2.1× 1.3k 2.3× 614 2.2× 178 0.8× 76 4.4k
Ronald A. Barry United States 22 3.1k 1.8× 1.6k 2.5× 1.5k 2.8× 318 1.2× 113 0.5× 34 3.6k
Randal Halfmann United States 20 2.8k 1.6× 516 0.8× 224 0.4× 457 1.7× 159 0.7× 38 3.1k
Juan María Torres Spain 34 2.6k 1.5× 1.1k 1.7× 801 1.4× 245 0.9× 262 1.2× 155 3.3k
Anthony S. Kowal United States 17 2.8k 1.7× 502 0.8× 343 0.6× 804 2.9× 139 0.6× 22 3.4k
Daniel C. Masison United States 34 3.5k 2.1× 975 1.5× 760 1.4× 247 0.9× 100 0.5× 78 3.7k
Vincent Béringue France 31 3.7k 2.2× 1.7k 2.6× 1.2k 2.1× 357 1.3× 119 0.6× 113 4.0k
Anthony R. Clarke United Kingdom 20 1.8k 1.0× 551 0.8× 469 0.8× 172 0.6× 192 0.9× 26 2.1k

Countries citing papers authored by James Hope

Since Specialization
Citations

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

Fields of papers citing papers by James Hope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Hope

This figure shows the co-authorship network connecting the top 25 collaborators of James Hope. A scholar is included among the top collaborators of James Hope 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 James Hope. James Hope 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.
Joiner, Susan, Emmanuel A. Asante, Jacqueline M. Linehan, et al.. (2017). Experimental sheep BSE prions generate the vCJD phenotype when serially passaged in transgenic mice expressing human prion protein. Journal of the Neurological Sciences. 386. 4–11. 7 indexed citations
2.
Gielbert, Adriana, et al.. (2015). Pyroglutamyl-N-terminal prion protein fragments in sheep brain following the development of transmissible spongiform encephalopathies. Frontiers in Molecular Biosciences. 2. 7–7. 3 indexed citations
3.
Gielbert, Adriana, et al.. (2013). Quantitative profiling of PrPSc peptides by high-performance liquid chromatography mass spectrometry to investigate the diversity of prions. Analytical Biochemistry. 436(1). 36–44. 9 indexed citations
4.
Hope, James. (2012). Bovine Spongiform Encephalopathy: A Tipping Point in One Health and Food Safety. Current topics in microbiology and immunology. 366. 37–47. 10 indexed citations
5.
6.
González, Lorenzo, Stuart Martin, Sílvia Sisó, et al.. (2009). High prevalence of scrapie in a dairy goat herd: tissue distribution of disease-associated PrP and effect ofPRNPgenotype and age. Veterinary Research. 40(6). 65–65. 50 indexed citations
7.
Hope, James & Nora Hunter. (2007). Scrapie‐Associated Fibrils, PRP Protein and the Sinc Gene. Novartis Foundation symposium. 135. 146–163. 1 indexed citations
8.
Blanch, Ewan W., Andrew C. Gill, Alexandre Rhie, et al.. (2004). Raman Optical Activity Demonstrates Poly(l-proline) II Helix in the N-terminal Region of the Ovine Prion Protein: Implications for Function and Misfunction. Journal of Molecular Biology. 343(2). 467–476. 69 indexed citations
9.
Barclay, G R, James Hope, Christopher R. Birkett, & Marc L. Turner. (1999). Distribution of cell‐associated prion protein in normal adult blood determined by flow cytometry. British Journal of Haematology. 107(4). 804–814. 61 indexed citations
10.
Chung, Yuen‐Li, Steven Williams, James Hope, & Jimmy D. Bell. (1999). Brain bioenergetics in murine models of scrapie using in vivo 31P magnetic resonance spectroscopy. Neuroreport. 10(9). 1899–1901. 3 indexed citations
11.
Chung, Yuen‐Li, Steven Williams, Diane Ritchie, et al.. (1999). Conflicting MRI signals from gliosis and neuronal vacuolation in prion diseases. Neuroreport. 10(17). 3471–3477. 39 indexed citations
12.
Moore, Richard C., James Hope, Patricia McBride, et al.. (1998). Mice with gene targetted prion protein alterations show that Prnp, Sine and Prni are congruent. Nature Genetics. 18(2). 118–125. 151 indexed citations
13.
Chung, Yuen‐Li, et al.. (1996). Metabolic Changes Associated with Vacuolation in Murine Models of Scrapie usingIn Vitro1H-NMR Spectroscopy. NMR in Biomedicine. 9(8). 359–363. 2 indexed citations
14.
15.
László, Lajos, et al.. (1995). The abnormal isoform of the prion protein accumulates in late‐endosome‐like organelles in scrapie‐infected mouse brain. The Journal of Pathology. 176(4). 403–411. 140 indexed citations
16.
Hope, James, et al.. (1994). Expression of Polyubiquitin and Heat‐Shock Protein 70 Genes Increases in the Later Stages of Disease Progression in Scrapie‐Infected Mouse Brain. Journal of Neurochemistry. 62(5). 1870–1877. 61 indexed citations
17.
László, Lajos, James Lowe, Tim Self, et al.. (1992). Lysosomes as key organelles in the pathogenesis of prion encephalopathies. The Journal of Pathology. 166(4). 333–341. 154 indexed citations
18.
Lowe, James, Lajos László, Michael Landon, et al.. (1992). Immunoreactivity to ubiquitin—protein conjugates is present early in the disease process in the brains of scrapie‐infected mice. The Journal of Pathology. 168(2). 169–177. 30 indexed citations
19.
Mayer, R. John, Lajos László, Michael Landon, James Hope, & James Lowe. (1992). Ubiquitin, Lysosomes, and Neurodegenerative Diseasesa. Annals of the New York Academy of Sciences. 674(1). 149–160. 12 indexed citations
20.
Hope, James, Adam Humphries, & G. H. Bourne. (1963). Ultrastructural studies on developing oocytes of the salamander Triturus viridescens. Journal of Ultrastructure Research. 9(3-4). 302–324. 70 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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