Kevin P. Dalton

2.1k citations
60 papers · 1.4k indexed · h-index 22
Topics
Viral gastroenteritis research and epidemiology (28 papers)Animal Virus Infections Studies (28 papers)Virus-based gene therapy research (17 papers)

In The Last Decade

Kevin P. Dalton

60 papers receiving 1.3k citations

Peers

Kevin P. Dalton
Comparison fields: 5 of 97
  • Infectious Diseases 862
  • Animal Science and Zoology 642
  • Genetics 332
  • Epidemiology 325
  • Agronomy and Crop Science 167
Replace Gertrude Thompson with:
Gertrude Thompson Portugal
Sidang Liu China
Hye Kwon Kim South Korea
Thais Fumaco Teixeira Brazil
Yannick Blanchard France
Craig Street United States
S. Nandi India
José M. Martı́n-Alonso Spain
Roman M. Pogranichniy United States
Ernesto Méndez Mexico
Kevin P. Dalton relative to Gertrude Thompson Portugal Gertrude Thompson's profile →
Citations per field
00.5×1.5×
Gertrude Thompson · 1×
Citations per year

Countries citing papers authored by Kevin P. Dalton

Since Specialization
Citations

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

Fields of papers citing papers by Kevin P. Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin P. Dalton. 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 Kevin P. Dalton. The network helps show where Kevin P. Dalton may publish in the future.

Co-authorship network of co-authors of Kevin P. Dalton

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin P. Dalton. A scholar is included among the top collaborators of Kevin P. Dalton 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 Kevin P. Dalton. Kevin P. Dalton 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 1
2 1
3 18
4 14
5 3
6 19
7 3
8 23
9 13
10 27
11 21
12 6
13 5
14 4
15 16
16 15
17 1
18 1
19 31
20 1

About Kevin P. Dalton

Kevin P. Dalton is a scholar working on Animal Science and Zoology, Infectious Diseases and Virology, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (28 papers), Animal Virus Infections Studies (28 papers) and Virus-based gene therapy research (17 papers). The work is most often cited by research in Animal Science and Zoology (642 citations), Infectious Diseases (862 citations) and Virology (80 citations). Kevin P. Dalton has collaborated with scholars based in Spain, Portugal and United Kingdom. Frequent co-authors include Francisco Parra, John K. Rose, Inés Nicieza, Rosa Casais, Ana Balseiro, Pedro J. Esteves, Joana Abrantes, Ángel L. Álvarez, Anthony N. van den Pol and J. M. Rosell. Their work appears in journals such as Journal of Virology, Scientific Reports and International Journal of Molecular 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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