Tatiana S. Uinuk-ool

10 total papers · 511 total citations
10 papers, 434 citations indexed

About

Tatiana S. Uinuk-ool is a scholar working on Immunology, Molecular Biology and Ecology. According to data from OpenAlex, Tatiana S. Uinuk-ool has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Tatiana S. Uinuk-ool's work include Aquaculture disease management and microbiota (5 papers), T-cell and B-cell Immunology (4 papers) and interferon and immune responses (2 papers). Tatiana S. Uinuk-ool is often cited by papers focused on Aquaculture disease management and microbiota (5 papers), T-cell and B-cell Immunology (4 papers) and interferon and immune responses (2 papers). Tatiana S. Uinuk-ool collaborates with scholars based in Germany, United States and Russia. Tatiana S. Uinuk-ool's co-authors include Jan Klein, Werner E. Mayer, Max D. Cooper, Akie Sato, Naoko Takezaki, H Tichy, Noriyuki Kuroda, Irene E. Samonte, Felipe Figueroa and R. I. Sukernik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Human Genetics and Scandinavian Journal of Immunology.

In The Last Decade

Tatiana S. Uinuk-ool

10 papers receiving 430 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tatiana S. Uinuk-ool 356 78 62 30 28 10 434
Ryan Phennicie 251 0.7× 122 1.6× 134 2.2× 27 0.9× 49 1.8× 17 409
Ariana Montes 204 0.6× 45 0.6× 27 0.4× 19 0.6× 7 0.3× 13 389
Nil Ratan Saha 425 1.2× 85 1.1× 31 0.5× 21 0.7× 5 0.2× 11 492
József Antal 214 0.6× 137 1.8× 23 0.4× 19 0.6× 23 0.8× 15 396
Masaru Nonaka 280 0.8× 69 0.9× 11 0.2× 25 0.8× 14 0.5× 18 366
Mark Saltis 212 0.6× 89 1.1× 22 0.4× 48 1.6× 11 0.4× 10 367
Badrul Arefin 188 0.5× 175 2.2× 23 0.4× 27 0.9× 16 0.6× 16 389
Nikolai Netuschil 321 0.9× 177 2.3× 61 1.0× 26 0.9× 106 3.8× 8 490
Wei Dai 187 0.5× 339 4.3× 79 1.3× 27 0.9× 17 0.6× 10 433
Samia Salhi 131 0.4× 188 2.4× 36 0.6× 26 0.9× 30 1.1× 13 384

Countries citing papers authored by Tatiana S. Uinuk-ool

Since Specialization
Citations

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

Fields of papers citing papers by Tatiana S. Uinuk-ool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tatiana S. Uinuk-ool. 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 Tatiana S. Uinuk-ool. The network helps show where Tatiana S. Uinuk-ool may publish in the future.

Co-authorship network of co-authors of Tatiana S. Uinuk-ool

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

All Works

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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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