Daniel Todd

129 papers receiving 5.6k citations

Peers

Daniel Todd
Comparison fields: 5 of 97
  • Animal Science and Zoology 4.6k
  • Infectious Diseases 3.0k
  • Genetics 1.8k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Agronomy and Crop Science 459
Replace Jimmy Kwang with:
Jimmy Kwang Singapore
Balázs Harrach Hungary
M. Stewart McNulty United Kingdom
Emmanuel Albina France
Guangzhi Tong China
Enric Mateu Spain
Craig R Pringle United Kingdom
Xutao Deng United States
Rob J. M. Moormann Netherlands
Maurice B. Pensaert Belgium
Daniel Todd relative to Jimmy Kwang Singapore Jimmy Kwang's profile →
Citations per field
00.5×1.5×1.8×
Jimmy Kwang · 1×
Citations per year

Countries citing papers authored by Daniel Todd

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Todd, 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 Daniel Todd Line = papers co-authored together Daniel Todd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Isolation of circovirus from lesions of pigs with postweaning multisystemic wasting syndrome.
1998467
2 1998427
3 2000281
4 1994227
5 1997168
6 2001158
7 2003145
8 1990130
9 2002129
10 1999120
11 2009116
12 2001107
13 1981104
14 199198
15 200398
16 197987
17 199284
18 199183
19 199481
20 199376

About Daniel Todd

Daniel Todd is a scholar working on Animal Science and Zoology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Genetics, having authored 130 papers that have together received 6.0k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (87 papers), Viral gastroenteritis research and epidemiology (45 papers), Viral Infections and Immunology Research (33 papers), Virus-based gene therapy research (31 papers), Plant Virus Research Studies (25 papers), Herpesvirus Infections and Treatments (24 papers), Aquaculture disease management and microbiota (15 papers) and Animal Disease Management and Epidemiology (9 papers). The work is most often cited by research in Animal Science and Zoology (4.6k citations), Infectious Diseases (3.0k citations), Genetics (1.8k citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Agronomy and Crop Science (459 citations). Daniel Todd has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include M. Stewart McNulty, Gordon Allan, Brian Meehan, Joan A. Smyth, Julie L. Creelan, Francis McNeilly, J.B. McFerran, Brian M. Adair, Deborah M. Haines and Edward G. Clark. Their work appears in journals such as Avian Pathology, Journal of General Virology, Avian Diseases, Archives of Virology and Diseases of Aquatic Organisms.

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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