Viktor Umansky

10.5k total citations · 3 hit papers
60 papers, 6.3k citations indexed

About

Viktor Umansky is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Viktor Umansky has authored 60 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Immunology, 32 papers in Oncology and 27 papers in Molecular Biology. Recurrent topics in Viktor Umansky's work include Immunotherapy and Immune Responses (24 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Immune Cell Function and Interaction (13 papers). Viktor Umansky is often cited by papers focused on Immunotherapy and Immune Responses (24 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Immune Cell Function and Interaction (13 papers). Viktor Umansky collaborates with scholars based in Germany, United States and France. Viktor Umansky's co-authors include Jochen Utikal, Peter Altevogt, Sven Brandau, Christopher Groth, Dmitry I. Gabrilovich, Alan B. Frey, Augusto C. Ochoa, Shu‐Hsia Chen, Susanna Mandruzzato and Antonio Sica and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Viktor Umansky

60 papers receiving 6.2k citations

Hit Papers

Recommendations for myeloid-derived suppressor cell nomen... 2016 2026 2019 2022 2016 2018 2018 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Viktor Umansky Germany 31 4.4k 2.9k 1.7k 605 374 60 6.3k
Susanna Mandruzzato Italy 36 6.1k 1.4× 3.2k 1.1× 2.0k 1.1× 693 1.1× 403 1.1× 77 7.8k
Viktor Umansky Germany 42 3.6k 0.8× 2.8k 1.0× 1.7k 1.0× 625 1.0× 460 1.2× 94 5.6k
Terri McClanahan United States 21 4.1k 0.9× 4.1k 1.4× 2.1k 1.2× 758 1.3× 547 1.5× 37 8.3k
Virginia K. Clements United States 34 5.6k 1.3× 3.1k 1.1× 1.5k 0.8× 664 1.1× 369 1.0× 50 7.1k
Paolo Serafini United States 29 5.9k 1.3× 2.9k 1.0× 1.5k 0.9× 386 0.6× 235 0.6× 39 7.3k
Yulia Nefedova United States 29 3.9k 0.9× 2.2k 0.8× 1.9k 1.1× 557 0.9× 278 0.7× 53 5.7k
Ilaria Marigo Italy 31 4.7k 1.1× 2.2k 0.8× 1.2k 0.7× 349 0.6× 218 0.6× 43 5.9k
Firouzeh Korangy United States 38 4.0k 0.9× 2.5k 0.9× 1.3k 0.7× 420 0.7× 359 1.0× 71 5.7k
Stefano Ugel Italy 30 3.3k 0.7× 2.1k 0.7× 1.1k 0.6× 428 0.7× 267 0.7× 63 4.6k
Adit Ben‐Baruch Israel 44 3.5k 0.8× 4.1k 1.4× 2.1k 1.2× 877 1.4× 466 1.2× 88 6.8k

Countries citing papers authored by Viktor Umansky

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Umansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Umansky

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Umansky. A scholar is included among the top collaborators of Viktor Umansky 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 Viktor Umansky. Viktor Umansky 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
1.
Utikal, Jochen, et al.. (2020). Dormant tumor cells interact with memory CD8+ T cells in RET transgenic mouse melanoma model. Cancer Letters. 474. 74–81. 14 indexed citations
2.
Ge, Yingzi, Anchana Rathinasamy, Xiaoying Hu, et al.. (2019). Tumor-Specific Regulatory T Cells from the Bone Marrow Orchestrate Antitumor Immunity in Breast Cancer. Cancer Immunology Research. 7(12). 1998–2012. 22 indexed citations
3.
Cassetta, Luca, Espen S. Bækkevold, Sven Brandau, et al.. (2019). Deciphering myeloid-derived suppressor cells: isolation and markers in humans, mice and non-human primates. Cancer Immunology Immunotherapy. 68(4). 687–697. 163 indexed citations
4.
Wu, Huizi, Lionel Larribère, Qian Sun, et al.. (2018). Loss of neural crest‐associated gene FOXD1 impairs melanoma invasion and migration via RAC1B downregulation. International Journal of Cancer. 143(11). 2962–2972. 24 indexed citations
5.
Fleming, Viktor, Xiaoying Hu, Rebekka Weber, et al.. (2018). Targeting Myeloid-Derived Suppressor Cells to Bypass Tumor-Induced Immunosuppression. Frontiers in Immunology. 9. 398–398. 355 indexed citations breakdown →
6.
Bronte, Vincenzo, Sven Brandau, Shu‐Hsia Chen, et al.. (2016). Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards. Nature Communications. 7(1). 12150–12150. 2010 indexed citations breakdown →
7.
Khan, Mohammad W. & Viktor Umansky. (2016). Ret mouse very large tumors (VLTs) display altered ratios of infiltrating memory to naive T cells: Roles in tumor expansion. Pathophysiology. 23(3). 211–220. 1 indexed citations
8.
Tzehoval, Esther, et al.. (2016). mRNA-based dendritic cell immunization improves survival inrettransgenic mouse melanoma model. OncoImmunology. 5(6). e1160183–e1160183. 4 indexed citations
9.
Gebhardt, Christoffer, Alexandra Sevko, Huanhuan Jiang, et al.. (2015). Myeloid Cells and Related Chronic Inflammatory Factors as Novel Predictive Markers in Melanoma Treatment with Ipilimumab. Clinical Cancer Research. 21(24). 5453–5459. 290 indexed citations
10.
Ridder, Kirsten De, Alexandra Sevko, Anne-Kathleen Rupp, et al.. (2015). Extracellular vesicle-mediated transfer of functional RNA in the tumor microenvironment. OncoImmunology. 4(6). e1008371–e1008371. 232 indexed citations
11.
Altevogt, Peter, Niko P. Bretz, Johannes Ridinger, Jochen Utikal, & Viktor Umansky. (2014). Novel insights into exosome-induced, tumor-associated inflammation and immunomodulation. Seminars in Cancer Biology. 28. 51–57. 59 indexed citations
12.
Umansky, Viktor, et al.. (2013). Autochthonous Mouse Melanoma and Mammary Tumors do not Express the Pluripotency Genes Oct4 and Nanog. PLoS ONE. 8(2). e57465–e57465. 7 indexed citations
13.
Bazhin, Alexandr V., Ivan Shevchenko, Viktor Umansky, Jens Werner, & Svetlana Karakhanova. (2013). Two immune faces of pancreatic adenocarcinoma: possible implication for immunotherapy. Cancer Immunology Immunotherapy. 63(1). 59–65. 49 indexed citations
14.
Sevko, Alexandra, Veronika Kremer, Christine S. Falk, et al.. (2012). Application of paclitaxel in low non-cytotoxic doses supports vaccination with melanoma antigens in normal mice. Journal of Immunotoxicology. 9(3). 275–281. 45 indexed citations
15.
Umansky, Viktor, et al.. (2009). Effect of artesunate on immune cells in ret-transgenic mouse melanoma model. Anti-Cancer Drugs. 20(10). 910–917. 27 indexed citations
16.
Müller‐Berghaus, Jan, Selma Ugurel, Viktor Umansky, et al.. (2006). Melanoma-Reactive T Cells in the Bone Marrow of Melanoma Patients: Association with Disease Stage and Disease Duration. Cancer Research. 66(12). 5997–6001. 29 indexed citations
17.
Beckhove, Philipp, Markus Feuerer, Florian Schuetz, et al.. (2004). Specifically activated memory T cell subsets from cancer patients recognize and reject xenotransplanted autologous tumors. Journal of Clinical Investigation. 114(1). 67–76. 103 indexed citations
18.
Feuerer, Markus, Philipp Beckhove, Natalio Garbi, et al.. (2003). Bone marrow as a priming site for T-cell responses to blood-borne antigen. Nature Medicine. 9(9). 1151–1157. 266 indexed citations
19.
Schirrmacher, Volker, Markus Feuerer, Philipp Beckhove, T. Ahlert, & Viktor Umansky. (2002). T Cell Memory, Anergy and Immunotherapy in Breast Cancer. Journal of Mammary Gland Biology and Neoplasia. 7(2). 201–208. 23 indexed citations
20.

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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