Ádám Dán

4.0k citations
107 papers · 2.4k · h-index 28

Impact in

Papers in

Ádám Dán

106 papers receiving 2.3k citations

Peers

Ádám Dán
Comparison fields: 5 of 78
  • Infectious Diseases 1.0k
  • Animal Science and Zoology 613
  • Agronomy and Crop Science 386
  • Parasitology 238
  • Microbiology 199
Replace Dolores Gavier‐Widén with:
Dolores Gavier‐Widén Sweden
Sergio Rosati Italy
Espen Rimstad Norway
Laila Darwich Spain
Rosa Casais Spain
Alice Fernandes Alfieri Brazil
Michael Lierz Germany
Jens P. Teifke Germany
Albert Bensaïd Spain
Selwyn Arlington Headley Brazil
Ádám Dán relative to Dolores Gavier‐Widén Sweden Dolores Gavier‐Widén's profile →
Citations per field
00.5×1.5×
Dolores Gavier‐Widén · 1×
Citations per year

Countries citing papers authored by Ádám Dán

Since Specialization
Citations

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

Fields of papers citing papers by Ádám Dán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007264
2 2002167
3 2013104
4 200984
5 201063
6 200263
7 201148
8 201047
9 201047
10 201246
11 202145
12 201243
13 201542
14 201241
15 200938
16 201238
17 201736
18
Introduction of the family Alloherpesviridae: The first molecular detection of herpesviruses of cyprinid fish in Hungary
201134
19 201433
20 200431

About Ádám Dán

Ádám Dán is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Genetics and Agronomy and Crop Science, having authored 107 papers that have together received 2.4k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (32 papers), Viral gastroenteritis research and epidemiology (29 papers), Virus-based gene therapy research (22 papers), Animal Disease Management and Epidemiology (18 papers), Viral Infections and Vectors (17 papers), Influenza Virus Research Studies (15 papers), Microbial infections and disease research (11 papers) and Vector-Borne Animal Diseases (8 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Animal Science and Zoology (613 citations), Agronomy and Crop Science (386 citations), Parasitology (238 citations) and Microbiology (199 citations). Ádám Dán has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Balázs Harrach, Károly Erdélyi, Krisztina Ursu, Edit Eszterbauer, Szilárd Jánosi, Miklós Gyuranecz, Krisztián Bànyai, Éva Ivánics, Kálmán Molnár and Csaba Székely. Their work appears in journals such as Avian Pathology, Archives of Virology, Infection Genetics and Evolution, PLoS ONE and Veterinary Microbiology.

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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