Daniel Dory

1.2k citations
67 papers · 851 indexed · h-index 17

Impact in

Papers in

Daniel Dory

53 papers receiving 812 citations

Peers

Daniel Dory
Comparison fields: 5 of 84
  • Animal Science and Zoology 313
  • Microbiology 98
  • Infectious Diseases 283
  • Food Science 172
  • Agronomy and Crop Science 76
Replace Georgios Théodoropoulos with:
Georgios Théodoropoulos Greece
Greg D. Appleyard Canada
Yoshihiro Shimoji Japan
Anna Lundén Sweden
Karin Sandstedt Sweden
S. Deville United States
Carly M. Bliss United Kingdom
J. Aucouturier France
T. HASE Japan
Jöerg Kinne United Arab Emirates
Daniel Dory relative to Georgios Théodoropoulos Greece Georgios Théodoropoulos's profile →
Citations per field
00.5×2.9×
Georgios Théodoropoulos · 1×
Citations per year

Countries citing papers authored by Daniel Dory

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Dory, 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 Dory Line = papers co-authored together Daniel Dory 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 201087
2 201580
3 200970
4 200964
5 201659
6 201153
7 201742
8 201540
9 200637
10 199834
11 199831
12 200326
13 200522
14 200722
15 200520
16 201819
17
Immune and protective abilities of ubiquitinated and non-ubiquitinated pseudorabies virus glycoproteins.
200716
18 200914
19 202012
20 200810

About Daniel Dory

Daniel Dory is a scholar working on Animal Science and Zoology, Infectious Diseases, Agronomy and Crop Science, Geography, Planning and Development and Food Science, having authored 67 papers that have together received 851 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (17 papers), Animal Virus Infections Studies (12 papers), Virus-based gene therapy research (9 papers), Multiculturalism, Politics, Migration, Gender (9 papers), Terrorism, Counterterrorism, and Political Violence (9 papers), Herpesvirus Infections and Treatments (8 papers), Salmonella and Campylobacter epidemiology (8 papers) and Animal Disease Management and Epidemiology (7 papers). The work is most often cited by research in Animal Science and Zoology (313 citations), Microbiology (98 citations), Infectious Diseases (283 citations), Food Science (172 citations) and Agronomy and Crop Science (76 citations). Daniel Dory has collaborated with scholars based in France, United States and Germany. Frequent co-authors include André Jestin, Marianne Chemaly, Marine Meunier, Muriel Guyard‐Nicodème, Véronique Béven, Roland Cariolet, Béatrice Grasland, Vincent Le Moigne, C. Fablet and M. Kobisch. Their work appears in journals such as Vaccine, Antiviral Research, Virus Research, Journal of Immunology Research and Research in Veterinary Science.

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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