Gytis Dudas

8.5k citations
29 papers · 1.4k indexed · 1 hit paper · h-index 18
Topics
Viral Infections and Vectors (11 papers)Influenza Virus Research Studies (6 papers)COVID-19 epidemiological studies (6 papers)

In The Last Decade

Gytis Dudas

28 papers receiving 1.4k citations

Hit Papers

The global H5N1 influenza panzootic in mammals20242026202520244080120

Peers

Gytis Dudas
Comparison fields: 5 of 97
  • Infectious Diseases 633
  • Epidemiology 626
  • Molecular Biology 283
  • Public Health, Environmental and Occupational Health 221
  • Genetics 218
Replace Filip Bielejec with:
Filip Bielejec United States
Kurt J. Vandegrift United States
Phenix‐Lan Quan United States
Vivien G. Dugan United States
Julie Callison United States
Jenny Mumford United Kingdom
Gianguglielmo Zehender Italy
Judith M. Hübschen Luxembourg
Sidney M. Bell United States
Jayna Raghwani United Kingdom
Gytis Dudas relative to Filip Bielejec United States Filip Bielejec's profile →
Citations per field
00.5×3.1×
Filip Bielejec · 1×
Citations per year

Countries citing papers authored by Gytis Dudas

Since Specialization
Citations

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

Fields of papers citing papers by Gytis Dudas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gytis Dudas

This figure shows the co-authorship network connecting the top 25 collaborators of Gytis Dudas. A scholar is included among the top collaborators of Gytis Dudas 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 Gytis Dudas. Gytis Dudas 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 3
2 2
3
The global H5N1 influenza panzootic in mammalsbreakdown →
123
4 1
5 3
6 3
7 4
8 74
9 68
10 33
11 12
12 20
13 31
14 44
15 153
16 75
17 8
18 192
19 49
20 29

About Gytis Dudas

Gytis Dudas is a scholar working on Modeling and Simulation, Infectious Diseases and Insect Science, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Vectors (11 papers), Influenza Virus Research Studies (6 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Infectious Diseases (633 citations), Modeling and Simulation (156 citations) and Epidemiology (626 citations). Gytis Dudas has collaborated with scholars based in United States, United Kingdom and Lithuania. Frequent co-authors include Andrew Rambaut, Trevor Bedford, Kristian G. Andersen, Edward C. Holmes, Luiz Max Carvalho, Marc A. Suchard, Carlos López, Philippe Lemey, Colin A. Russell and John W. McCauley. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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