Nia Tatsis

1.9k citations
16 papers · 1.5k indexed · 1 hit paper · h-index 14
Topics
Virus-based gene therapy research (9 papers)Immunotherapy and Immune Responses (8 papers)Herpesvirus Infections and Treatments (5 papers)

In The Last Decade

Nia Tatsis

16 papers receiving 1.5k citations

Hit Papers

Adenoviruses as vaccine vectors20042026201120182004100200300400500

Peers

Nia Tatsis
Comparison fields: 5 of 75
  • Genetics 637
  • Molecular Biology 579
  • Immunology 531
  • Infectious Diseases 441
  • Epidemiology 333
Replace Jaquelin P. Dudley with:
Jaquelin P. Dudley United States
Walter Muranyi Germany
Pavel Sova United States
Michael D. Lubeck United States
Wilfred E. Marissen United States
B A Spalholz United States
Ellen M. Westerhout Netherlands
C. de Taisne France
Hans-Gerhard Burgert Germany
J. Bradford Bowzard United States
Nia Tatsis relative to Jaquelin P. Dudley United States Jaquelin P. Dudley's profile →
Citations per field
00.5×1.5×2.3×
Jaquelin P. Dudley · 1×
Citations per year

Countries citing papers authored by Nia Tatsis

Since Specialization
Citations

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

Fields of papers citing papers by Nia Tatsis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nia Tatsis

This figure shows the co-authorship network connecting the top 25 collaborators of Nia Tatsis. A scholar is included among the top collaborators of Nia Tatsis 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 Nia Tatsis. Nia Tatsis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 22
2 8
3 42
4 51
5 59
6 47
7 26
8 79
9 147
10 173
11 76
12
Adenoviruses as vaccine vectorsbreakdown →
511
13 2
14 86
15 124
16 75

About Nia Tatsis

Nia Tatsis is a scholar working on Virology, Immunology and Genetics, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Immunotherapy and Immune Responses (8 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Virology (198 citations), Immunology (531 citations) and Infectious Diseases (441 citations). Nia Tatsis has collaborated with scholars based in United States, Netherlands and Mexico. Frequent co-authors include Hildegund C.J. Ertl, Shih‐Wen Lin, Ian G. Macara, Scott E. Hensley, Marcio O. Lasaro, Gérard Joberty, Cheryl L. Neudauer, Dongming Zhou, Wynetta Giles‐Davis and Deborah A. Lannigan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

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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