S.D. Neill

4.1k total citations
67 papers, 3.3k citations indexed

About

S.D. Neill is a scholar working on Infectious Diseases, Epidemiology and Microbiology. According to data from OpenAlex, S.D. Neill has authored 67 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Infectious Diseases, 36 papers in Epidemiology and 19 papers in Microbiology. Recurrent topics in S.D. Neill's work include Mycobacterium research and diagnosis (35 papers), Tuberculosis Research and Epidemiology (34 papers) and Microbial infections and disease research (19 papers). S.D. Neill is often cited by papers focused on Mycobacterium research and diagnosis (35 papers), Tuberculosis Research and Epidemiology (34 papers) and Microbial infections and disease research (19 papers). S.D. Neill collaborates with scholars based in United Kingdom, Ireland and New Zealand. S.D. Neill's co-authors include J.M. Pollock, J. Hanna, Robin Skuce, J. O'Brien, D.G. Bryson, M S Hughes, William Ellis, W. Yayo Ayele, Jakob Zinsstag and Mitchell G. Weiss and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and Microbiology.

In The Last Decade

S.D. Neill

67 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.D. Neill United Kingdom 35 2.2k 2.1k 558 553 514 67 3.3k
Robin Skuce United Kingdom 35 2.2k 1.0× 2.0k 1.0× 686 1.2× 541 1.0× 489 1.0× 81 3.2k
Eamonn Gormley Ireland 36 2.3k 1.0× 1.9k 0.9× 391 0.7× 568 1.0× 635 1.2× 116 3.5k
Janet B. Payeur United States 28 1.2k 0.5× 1.4k 0.7× 291 0.5× 399 0.7× 211 0.4× 52 2.0k
Ana Mateos Spain 34 1.9k 0.9× 1.9k 0.9× 603 1.1× 496 0.9× 436 0.8× 69 2.7k
María Laura Boschiroli France 25 1.3k 0.6× 1.6k 0.8× 330 0.6× 288 0.5× 400 0.8× 42 2.5k
Geoffrey W. de Lisle New Zealand 46 3.7k 1.7× 3.8k 1.8× 633 1.1× 627 1.1× 1.0k 2.0× 109 5.2k
Suelee Robbe‐Austerman United States 28 1.5k 0.7× 1.3k 0.6× 177 0.3× 369 0.7× 414 0.8× 98 2.3k
Debby Cousins Australia 29 2.9k 1.3× 2.9k 1.4× 1.2k 2.2× 306 0.6× 485 0.9× 45 3.5k
Lucía de Juan Spain 32 2.1k 0.9× 2.3k 1.1× 521 0.9× 585 1.1× 516 1.0× 120 2.9k
Tyler C. Thacker United States 32 2.3k 1.0× 2.0k 0.9× 305 0.5× 605 1.1× 546 1.1× 107 3.2k

Countries citing papers authored by S.D. Neill

Since Specialization
Citations

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

Fields of papers citing papers by S.D. Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.D. Neill

This figure shows the co-authorship network connecting the top 25 collaborators of S.D. Neill. A scholar is included among the top collaborators of S.D. Neill 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 S.D. Neill. S.D. Neill 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.
McDowell, S.W.J., F. D. Menzies, S. H. McBride, et al.. (2008). Campylobacter spp. in conventional broiler flocks in Northern Ireland: Epidemiology and risk factors. Preventive Veterinary Medicine. 84(3-4). 261–276. 79 indexed citations
2.
Neill, S.D., Robin Skuce, & J.M. Pollock. (2005). Tuberculosis - new light from an old window. Journal of Applied Microbiology. 98(6). 1261–1269. 35 indexed citations
3.
McCormick, Carl, et al.. (2004). Mycobacterium nonchromogenicum in nasal mucus from cattle in a herd infected with bovine tuberculosis. Veterinary Microbiology. 99(3-4). 281–285. 13 indexed citations
4.
Pollock, J.M., et al.. (2000). Assessment of defined antigens for the diagnosis of bovine tuberculosis in skin test‐reactor cattle. Veterinary Record. 146(23). 659–665. 80 indexed citations
5.
Liébana, E., Alicia Aranaz, Michael Welsh, S.D. Neill, & J.M. Pollock. (2000). In vitro T‐cell activation of monocyte‐derived macrophages by soluble messengers or cell‐to‐cell contact in bovine tuberculosis. Immunology. 100(2). 194–202. 16 indexed citations
6.
Liébana, E., Alicia Aranaz, Frank E. Aldwell, et al.. (2000). Cellular interactions in bovine tuberculosis: release of active mycobacteria from infected macrophages by antigen‐stimulated T cells. Immunology. 99(1). 23–29. 30 indexed citations
7.
Menzies, F. D. & S.D. Neill. (2000). Cattle-to-Cattle Transmission of Bovine Tuberculosis. The Veterinary Journal. 160(2). 92–106. 123 indexed citations
8.
Cassidy, Joseph P., D.G. Bryson, J.M. Pollock, et al.. (1998). Early lesion formation in cattle experimentally infected with Mycobacterium bovis. Journal of Comparative Pathology. 119(1). 27–44. 82 indexed citations
9.
Roring, Solvig, David Brittain, Annelies E. Bunschoten, et al.. (1998). Spacer oligotyping of Mycobacterium bovis isolates compared to typing by restriction fragment length polymorphism using PGRS, DR and IS6110 probes. Veterinary Microbiology. 61(1-2). 111–120. 43 indexed citations
10.
Pollock, J.M., A. Douglas, D.P. Mackie, & S.D. Neill. (1995). Peptide Mapping of Bovine T‐Cell Epitopes for the 38 kDa Tuberculosis Antigen. Scandinavian Journal of Immunology. 41(1). 85–93. 28 indexed citations
11.
Neill, S.D., J.M. Pollock, D. Bryson, & J. Hanna. (1994). Pathogenesis of Mycobacterium bovis infection in cattle. Veterinary Microbiology. 40(1-2). 41–52. 152 indexed citations
13.
Neill, S.D., et al.. (1992). Profiles of toxin production by thermophilic Campylobacter of animal origin. Veterinary Microbiology. 30(2-3). 257–266. 16 indexed citations
14.
Neill, S.D., J. Hanna, J. O'Brien, & R.M. McCracken. (1989). Transmission of tuberculosis from experimentally infected cattle to in-contact calves. Veterinary Record. 124(11). 269–271. 60 indexed citations
15.
Neill, S.D., J. Hanna, J. O'Brien, & R.M. McCracken. (1988). Excretion of Mycobacterium bovis by experimentally infected cattle. Veterinary Record. 123(13). 340–343. 89 indexed citations
16.
Neill, S.D., J Campbell, & J. O'Brien. (1985). Egg penetration ByCampylobacter Jejuni. Avian Pathology. 14(3). 313–320. 41 indexed citations
17.
Neill, S.D., et al.. (1984). Campylobacterspecies in broiler chickens. Avian Pathology. 13(4). 777–785. 54 indexed citations
18.
Hanna, Jennifer M., S.D. Neill, John O’Brien, & William Ellis. (1983). Comparison of Aerotolerant and Reference Strains of Campylobacter Species by Polyacrylamide Gel Electrophoresis. International Journal of Systematic Bacteriology. 33(2). 143–146. 14 indexed citations
19.
Ellis, William, D.G. Bryson, J. O'Brien, & S.D. Neill. (1983). Leptospiral infection in aborted equine foetuses. Equine Veterinary Journal. 15(4). 321–324. 50 indexed citations
20.
Neill, S.D. & H.J. Ball. (1980). Aminopeptidase Activity of Acholeplasma laidlawii, Mycoplasma bovirhinis, Mycoplasma dispar and Mycoplasma bovis. Microbiology. 119(1). 103–107. 10 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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