D. Drummond

2.1k total citations · 1 hit paper
9 papers, 1.6k citations indexed

About

D. Drummond is a scholar working on Molecular Biology, Materials Chemistry and Neurology. According to data from OpenAlex, D. Drummond has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Neurology. Recurrent topics in D. Drummond's work include Prion Diseases and Protein Misfolding (6 papers), Metallurgy and Material Science (4 papers) and Neurological diseases and metabolism (3 papers). D. Drummond is often cited by papers focused on Prion Diseases and Protein Misfolding (6 papers), Metallurgy and Material Science (4 papers) and Neurological diseases and metabolism (3 papers). D. Drummond collaborates with scholars based in United Kingdom, United States and Portugal. D. Drummond's co-authors include Robert Will, Christopher J. Bostock, I. McConnell, H. Fraser, M. E. Bruce, Christopher R. Birkett, A. Chree, Linda McCardle, Simon Cousens and Jayne C. Hope and has published in prestigious journals such as Nature, Journal of Virology and Veterinary Record.

In The Last Decade

D. Drummond

9 papers receiving 1.5k citations

Hit Papers

Transmissions to mice indicate that ‘new variant’ CJD is ... 1997 2026 2006 2016 1997 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
D. Drummond United Kingdom 7 1.5k 660 436 105 68 9 1.6k
Fiona Houston United Kingdom 18 1.3k 0.9× 502 0.8× 488 1.1× 76 0.7× 111 1.6× 34 1.4k
Marion M. Simmons United Kingdom 22 1.5k 1.0× 750 1.1× 548 1.3× 170 1.6× 156 2.3× 74 1.6k
A. Buschmann Germany 22 1.6k 1.1× 810 1.2× 649 1.5× 117 1.1× 153 2.3× 44 1.7k
M. E. W. Vromans Serbia 8 1.1k 0.7× 474 0.7× 463 1.1× 76 0.7× 148 2.2× 8 1.1k
Linda McCardle United Kingdom 17 2.9k 1.9× 1.2k 1.9× 689 1.6× 115 1.1× 74 1.1× 19 3.0k
David Parnham United Kingdom 11 880 0.6× 306 0.5× 298 0.7× 80 0.8× 111 1.6× 14 947
Timm Konold United Kingdom 18 932 0.6× 429 0.7× 374 0.9× 106 1.0× 132 1.9× 50 1.0k
Nathaniel D. Denkers United States 19 852 0.6× 183 0.3× 140 0.3× 150 1.4× 44 0.6× 27 1.0k
S. Jo Moore United Kingdom 18 661 0.4× 217 0.3× 263 0.6× 82 0.8× 66 1.0× 41 767
Cristina Acín Spain 17 591 0.4× 272 0.4× 336 0.8× 51 0.5× 111 1.6× 40 680

Countries citing papers authored by D. Drummond

Since Specialization
Citations

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

Fields of papers citing papers by D. Drummond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Drummond

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

All Works

9 of 9 papers shown
1.
Milne, Elspeth, Michael Cheeseman, Lorenzo Ressel, et al.. (2021). Comparison of effusion cell block and biopsy immunohistochemistry in mesothelial hyperplasia, mesothelioma, and carcinoma in dogs. Veterinary Clinical Pathology. 50(4). 555–567. 5 indexed citations
2.
Milne, Elspeth, et al.. (2019). A study of residual lesions in horses that recovered from clinical signs of chronic equine dysautonomia. Journal of Veterinary Internal Medicine. 33(5). 2302–2311. 1 indexed citations
3.
Cartwright, Jennifer A., Adam G. Gow, Elspeth Milne, et al.. (2018). Vitamin D Receptor Expression in Dogs. Journal of Veterinary Internal Medicine. 32(2). 764–774. 24 indexed citations
4.
Hunter, Nora, Fiona Houston, James D. Foster, et al.. (2012). Susceptibility of Young Sheep to Oral Infection with Bovine Spongiform Encephalopathy Decreases Significantly after Weaning. Journal of Virology. 86(21). 11856–11862. 33 indexed citations
5.
Foster, James D., et al.. (2008). Atypical scrapie in a sheep in a closed uk flock with endemic classical natural scrapie. Veterinary Record. 162(22). 723–724. 7 indexed citations
6.
Hunter, Nora, James D. Foster, D. Drummond, et al.. (2007). Quantification of Peyer's patches in Cheviot sheep for future scrapie pathogenesis studies. Veterinary Immunology and Immunopathology. 116(3-4). 163–171. 10 indexed citations
7.
Foster, J., et al.. (2006). Derivation of a scrapie‐free sheep flock from the progeny of a flock affected by scrapie. Veterinary Record. 159(2). 42–45. 17 indexed citations
8.
Foster, J., et al.. (2006). Lateral transmission of natural scrapie to scrapie‐free New Zealand sheep placed in an endemically infected UK flock. Veterinary Record. 159(19). 633–634. 7 indexed citations
9.
Bruce, M. E., Robert Will, James W. Ironside, et al.. (1997). Transmissions to mice indicate that ‘new variant’ CJD is caused by the BSE agent. Nature. 389(6650). 498–501. 1485 indexed citations breakdown →

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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