H. Fraser

9.7k total citations · 2 hit papers
93 papers, 7.7k citations indexed

About

H. Fraser is a scholar working on Molecular Biology, Nutrition and Dietetics and Neurology. According to data from OpenAlex, H. Fraser has authored 93 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 38 papers in Nutrition and Dietetics and 19 papers in Neurology. Recurrent topics in H. Fraser's work include Prion Diseases and Protein Misfolding (77 papers), Trace Elements in Health (38 papers) and Neurological diseases and metabolism (18 papers). H. Fraser is often cited by papers focused on Prion Diseases and Protein Misfolding (77 papers), Trace Elements in Health (38 papers) and Neurological diseases and metabolism (18 papers). H. Fraser collaborates with scholars based in United Kingdom, United States and Netherlands. H. Fraser's co-authors include A.G. Dickinson, M. E. Bruce, I. McConnell, A. Chree, Moira E. Bruce, Steven Williams, Jayne C. Hope, Christopher J. Bostock, D. Drummond and Christopher R. Birkett and has published in prestigious journals such as Nature, The Lancet and Nature Medicine.

In The Last Decade

H. Fraser

92 papers receiving 7.3k citations

Hit Papers

Transmissions to mice indicate that ‘new va... 1968 2026 1987 2006 1997 1968 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Fraser United Kingdom 43 7.1k 3.4k 2.7k 502 411 93 7.7k
Richard Race United States 46 6.9k 1.0× 3.5k 1.0× 2.8k 1.0× 954 1.9× 329 0.8× 95 7.7k
Bruno Oesch Switzerland 30 5.4k 0.8× 2.9k 0.8× 2.3k 0.8× 446 0.9× 189 0.5× 49 6.3k
M. Jeffrey United Kingdom 38 3.8k 0.5× 2.1k 0.6× 1.6k 0.6× 381 0.8× 259 0.6× 108 4.6k
A.G. Dickinson United Kingdom 34 3.9k 0.6× 1.8k 0.5× 1.8k 0.7× 239 0.5× 183 0.4× 52 4.3k
Glenn C. Telling United States 44 6.9k 1.0× 3.2k 0.9× 2.2k 0.8× 456 0.9× 244 0.6× 127 7.2k
M. E. Bruce United Kingdom 32 4.6k 0.6× 2.4k 0.7× 1.8k 0.7× 354 0.7× 218 0.5× 43 4.8k
I. McConnell United Kingdom 26 4.6k 0.7× 2.3k 0.7× 1.7k 0.6× 232 0.5× 177 0.4× 40 4.8k
Alex J. Raeber Switzerland 30 4.9k 0.7× 2.6k 0.8× 1.9k 0.7× 508 1.0× 261 0.6× 55 5.3k
R.H. Kimberlin United States 33 3.7k 0.5× 1.6k 0.5× 1.8k 0.7× 167 0.3× 146 0.4× 70 3.8k
Mark Head United Kingdom 39 5.2k 0.7× 2.1k 0.6× 1.1k 0.4× 679 1.4× 551 1.3× 138 6.0k

Countries citing papers authored by H. Fraser

Since Specialization
Citations

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

Fields of papers citing papers by H. Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Fraser

This figure shows the co-authorship network connecting the top 25 collaborators of H. Fraser. A scholar is included among the top collaborators of H. Fraser 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 H. Fraser. H. Fraser 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.
Rodrigues, Miriam, Chitra Vinnakota, Christina M. Buchanan, et al.. (2025). The genetics of motor neuron disease in New Zealand. Journal of the Neurological Sciences. 474. 123472–123472.
2.
Brown, Karen, K. Stewart, Diane Ritchie, et al.. (2000). Follicular dendritic cells in scrapie pathogenesis. PubMed. 13–21. 8 indexed citations
3.
Taylor, David, I. McConnell, & H. Fraser. (1996). Scrapie infection can be established readily through skin scarification in immunocompetent but not immunodeficient mice. Journal of General Virology. 77(7). 1595–1599. 70 indexed citations
4.
Lucassen, Paul J., Steven Williams, W. C. Chung, & H. Fraser. (1995). Detection of apoptosis in murine scrapie. Neuroscience Letters. 198(3). 185–188. 74 indexed citations
5.
Taylor, David, et al.. (1994). Decontamination studies with the agents of bovine spongiform encephalopathy and scrapie. Archives of Virology. 139(3-4). 313–326. 142 indexed citations
6.
Bruce, M. E., A. Chree, I. McConnell, et al.. (1994). Transmission of bovine spongiform encephalopathy and scrapie to mice: strain variation and the species barrier. Philosophical Transactions of the Royal Society B Biological Sciences. 343(1306). 405–411. 379 indexed citations
7.
Williams, Steven, et al.. (1994). Cytokines, prostaglandins and lipocortin-1 are present in the brains of scrapie-infected mice. Brain Research. 654(2). 200–206. 88 indexed citations
8.
Hope, J., et al.. (1993). Transmission of bovine spongiform encephalopathy to sheep and goats. Veterinary Record. 133(14). 339–341. 230 indexed citations
9.
Scott, J. R., James D. Foster, & H. Fraser. (1993). Conjunctival instillation of scrapie in mice can produce disease. Veterinary Microbiology. 34(4). 305–309. 36 indexed citations
10.
Scott, J. R., D.J.G. Davies, & H. Fraser. (1992). Scrapie in the central nervous system: neuroanatomical spread of infection and Sinc control of pathogenesis. Journal of General Virology. 73(7). 1637–1644. 59 indexed citations
11.
Jeffrey, M., J. R. Scott, & H. Fraser. (1991). Scrapie inoculation of mice: light and electron microscopy of the superior colliculi. Acta Neuropathologica. 81(5). 562–571. 21 indexed citations
12.
Bruce, M. E., I. McConnell, H. Fraser, & A.G. Dickinson. (1991). The disease characteristics of different strains of scrapie in Sinc congenic mouse lines: implications for the nature of the agent and host control of pathogenesis. Journal of General Virology. 72(3). 595–603. 328 indexed citations
13.
Bruce, M. E. & H. Fraser. (1991). Scrapie Strain Variation and Its Implications. Current topics in microbiology and immunology. 172. 125–138. 118 indexed citations
14.
Fraser, H., et al.. (1989). The molecular pathology of scrapie and the biological basis of lesion targeting.. PubMed. 317. 637–44. 10 indexed citations
15.
Fraser, H., et al.. (1989). The scrapie disease process is unaffected by ionising radiation.. PubMed. 317. 653–8. 17 indexed citations
16.
McBride, Patricia, M. E. Bruce, & H. Fraser. (1988). IMMUNOSTAINING OF SCRAPIE CEREBRAL AMYLOID PLAQUES WITH ANTISERA RAISED TO SCRAPIE–ASSOCIATED FIBRILS (SAF). Neuropathology and Applied Neurobiology. 14(4). 325–336. 54 indexed citations
17.
Eikelenboom, Piet, J. R. Scott, Patricia McBride, et al.. (1987). No evidence for involvement of plasma proteins or blood-borne cells in amyloid plaque formation in scrapie-affected mice. Virchows Archiv B Cell Pathology Including Molecular Pathology. 53(1). 251–256. 8 indexed citations
18.
Fraser, H.. (1976). The pathology of a natural and experimental scrapie.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 44. 267–305. 74 indexed citations
19.
Dickinson, A.G., H. Fraser, & G. W. OUTRAM. (1975). Scrapie incubation time can exceed natural lifespan. Nature. 256(5520). 732–733. 69 indexed citations
20.
Dickinson, A.G. & H. Fraser. (1972). Scrapie: Effect of Dh gene on incubation period of extraneurally injected agent. Heredity. 29(1). 91–93. 36 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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