S. Kennedy

9.2k citations
122 papers · 6.7k indexed · h-index 42
Topics
Animal Virus Infections Studies (44 papers)Virus-based gene therapy research (24 papers)Virology and Viral Diseases (22 papers)

In The Last Decade

S. Kennedy

122 papers receiving 6.2k citations

Peers

S. Kennedy
Comparison fields: 5 of 136
  • Animal Science and Zoology 3.8k
  • Infectious Diseases 2.8k
  • Genetics 2.3k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Ecology 1.1k
Replace Rik L. de Swart with:
Rik L. de Swart Netherlands
Jan S. Suchodolski United States
David Wang United States
David Porter United States
Chunlin Wang China
Eric Nelson United States
Richard J. Montali United States
James W. Carpenter United States
Klaus Failing Germany
David J. Paton United Kingdom
S. Kennedy relative to Rik L. de Swart Netherlands Rik L. de Swart's profile →
Citations per field
00.5×5.8×
Rik L. de Swart · 1×
Citations per year

Countries citing papers authored by S. Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by S. Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of S. Kennedy. A scholar is included among the top collaborators of S. Kennedy 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. Kennedy. S. Kennedy 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
#WorkIndexed citations
1 7
2 70
3 83
4 59
5
Immunostimulation, PCV-2 [porcine circovirus] and PMWS [porcine wasting syndrome].
2
6 1
7 338
8 38
9 47
10 45
11 3
12 43
13 41
14 8
15 32
16
Changes in the Ultrastructure of Beef Muscle as Influenced by Acidic Conditions Below the Ultimate pH
17
17 41
18 89
19 4
20 7

About S. Kennedy

S. Kennedy is a scholar working on Animal Science and Zoology, Clinical Biochemistry and Microbiology, having authored 122 papers that have together received 6.7k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (44 papers), Virus-based gene therapy research (24 papers) and Virology and Viral Diseases (22 papers). The work is most often cited by research in Animal Science and Zoology (3.8k citations), Infectious Diseases (2.8k citations) and Genetics (2.3k citations). S. Kennedy has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include F. McNeilly, Brian Meehan, Gordon Allan, John A. Ellis, Steven Krakowka, Deborah M. Haines, D. Moffett, B. M. Adair, John Ellis and D. G. Kennedy. Their work appears in journals such as Nature, The Science of The Total Environment and Annals of the New York Academy of Sciences.

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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