Tetyana Yevsa

4.5k citations
25 papers · 2.0k indexed · 2 hit papers · h-index 14
Topics
Immune cells in cancer (5 papers)Immune Cell Function and Interaction (3 papers)Cancer Immunotherapy and Biomarkers (3 papers)
Partner nations
GermanyUkraineSpain

In The Last Decade

Tetyana Yevsa

24 papers receiving 1.9k citations

Hit Papers

Cancer Stem Cells—Origins and Biomarkers: Perspectiv...201620262019202220202016200400600

Peers

Tetyana Yevsa
Comparison fields: 5 of 101
  • Molecular Biology 860
  • Immunology 696
  • Oncology 580
  • Cancer Research 390
  • Physiology 253
Replace JeanMarie Houghton with:
JeanMarie Houghton United States
Patricia Yotnda United States
András Schaffer United States
Keishi Fujiwara Japan
Shawn T. Estrem United States
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Ioannis S. Pateras Greece
Florian Kühnel Germany
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Tetyana Yevsa relative to JeanMarie Houghton United States JeanMarie Houghton's profile →
Citations per field
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JeanMarie Houghton · 1×
Citations per year

Countries citing papers authored by Tetyana Yevsa

Since Specialization
Citations

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

Fields of papers citing papers by Tetyana Yevsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetyana Yevsa

This figure shows the co-authorship network connecting the top 25 collaborators of Tetyana Yevsa. A scholar is included among the top collaborators of Tetyana Yevsa 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 Tetyana Yevsa. Tetyana Yevsa 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 0
2 4
3 4
4 7
5 21
6 18
7 14
8 8
9
Cancer Stem Cells—Origins and Biomarkers: Perspectives for Targeted Personalized Therapiesbreakdown →
662
10 6
11 3
12 13
13
Distinct Functions of Senescence-Associated Immune Responses in Liver Tumor Surveillance and Tumor Progressionbreakdown →
447
14 197
15 158
16 147
17 21
18 108
19 45
20 37

About Tetyana Yevsa

Tetyana Yevsa is a scholar working on Immunology, Applied Microbiology and Biotechnology and Endocrinology, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Immune Cell Function and Interaction (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (696 citations), Cancer Research (390 citations) and Oncology (580 citations). Tetyana Yevsa has collaborated with scholars based in Germany, Ukraine and Spain. Frequent co-authors include Huizhen Suo, Uta Kossatz-Boehlert, André‐René Blaudszun, Reni Kitte, Alexander Strauß, Lia Walcher, Stephan Fricke, Lars Zender, Thomas Longerich and Mathias Heikenwälder. Their work appears in journals such as Nature Medicine, The Journal of Immunology and Cancer Cell.

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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