S.D. Neill

4.1k citations
67 papers · 3.5k · h-index 36

Impact in

Papers in

S.D. Neill

67 papers receiving 3.1k citations

Peers

S.D. Neill
Comparison fields: 5 of 101
  • Infectious Diseases 2.2k
  • Microbiology 526
  • Epidemiology 2.0k
  • Small Animals 355
  • Agronomy and Crop Science 364
Replace Robin Skuce with:
Robin Skuce United Kingdom
Eamonn Gormley Ireland
Janet B. Payeur United States
Suelee Robbe‐Austerman United States
Charles O. Thoen United States
Ad P. Koets Netherlands
Neil F. Inglis United Kingdom
H.J. Ball United Kingdom
Ana Mateos Spain
Geoffrey W. de Lisle New Zealand
S.D. Neill relative to Robin Skuce United Kingdom Robin Skuce's profile →
Citations per field
00.5×1.5×
Robin Skuce · 1×
Citations per year

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-authors

The 25 scholars most cited alongside S.D. Neill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.D. Neill Line = papers co-authored together S.D. Neill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bovine tuberculosis: an old disease but a new threat to Africa.
2004383
2 2002235
3 1996171
4 1994160
5 2000130
6 1985102
7 199699
8 200198
9 198892
10
Dominant-negative polo-like kinase 1 induces mitotic catastrophe independent of cdc25C function.
200091
11 199884
12 200883
13 200183
14 200080
15 199872
16 199370
17 198963
18 197960
19 198459
20 198357

About S.D. Neill

S.D. Neill is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Surgery and Food Science, having authored 67 papers that have together received 3.5k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (35 papers), Tuberculosis Research and Epidemiology (34 papers), Microbial infections and disease research (19 papers), Salmonella and Campylobacter epidemiology (11 papers), Diagnosis and treatment of tuberculosis (8 papers), Veterinary medicine and infectious diseases (6 papers), Leptospirosis research and findings (5 papers) and Humic Substances and Bio-Organic Studies (3 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Microbiology (526 citations), Epidemiology (2.0k citations), Small Animals (355 citations) and Agronomy and Crop Science (364 citations). S.D. Neill has collaborated with scholars based in United Kingdom, New Zealand and Ireland. Frequent co-authors include J.M. Pollock, J. Hanna, J. O'Brien, Robin Skuce, D.G. Bryson, William Ellis, M S Hughes, Mitchell G. Weiss, F. D. Menzies and W. Yayo Ayele. Their work appears in journals such as Veterinary Microbiology, Journal of Clinical Microbiology, Research in Veterinary Science, Veterinary Record and Journal of Comparative Pathology.

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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