Vaidotas Kiseliovas
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Single-cell and spatial transcriptomics 4
- RNA and protein synthesis mechanisms 2
- Advanced biosensing and bioanalysis techniques 2
- CRISPR and Genetic Engineering 2
-
- Cancer Genomics and Diagnostics 3
- Co-authors
- Linas Mažutis (11 shared papers)Dana Pe’er (5 shared papers)Manu Setty (2 shared papers)Ruby Wasti (1 shared paper)Juozas Nainys (2 shared papers)Kristy Choi (1 shared paper)Andrew Cornish (2 shared papers)Peter T. McKenney (1 shared paper)
- Journals
- Genome biology (1 paper)Nature Microbiology (1 paper)Angewandte Chemie International Edition (1 paper)Frontiers in Microbiology (1 paper)Blood (1 paper)
- Partner nations
- LithuaniaUnited StatesCzechia
In The Last Decade
Vaidotas Kiseliovas
11 papers receiving 1.9k citations
Vaidotas Kiseliovas's Hit Papers
Peers
Comparison fields: 5 of 90
- Immunology 746
- Oncology 619
- Cancer Research 335
- Biophysics 97
- Molecular Biology 1.0k
Countries citing papers authored by Vaidotas Kiseliovas
This map shows the geographic impact of Vaidotas Kiseliovas'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 Vaidotas Kiseliovas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaidotas Kiseliovas more than expected).
Fields of papers citing papers by Vaidotas Kiseliovas
This network shows the impact of papers produced by Vaidotas Kiseliovas. 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 Vaidotas Kiseliovas. The network helps show where Vaidotas Kiseliovas may publish in the future.
Co-authors
The 25 scholars most cited alongside Vaidotas Kiseliovas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment Hit paper breakdown → | 2018 | 1288 |
| 2 | Characterization of cell fate probabilities in single-cell data with Palantir Hit paper breakdown → | 2019 | 378 |
| 3 | 2020 | 203 | |
| 4 | 2016 | 21 | |
| 5 | 2017 | 11 | |
| 6 | 2017 | 9 | |
| 7 | 2016 | 7 | |
| 8 | 2025 | 5 | |
| 9 | 2025 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2018 | 1 | |
| 12 | 2025 | 0 |
About Vaidotas Kiseliovas
Vaidotas Kiseliovas is a scholar working on Molecular Biology, Cancer Research, Ecology, Epidemiology and Biophysics, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA and protein synthesis mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), CRISPR and Genetic Engineering (2 papers), Immune cells in cancer (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Immunology (746 citations), Oncology (619 citations), Cancer Research (335 citations), Biophysics (97 citations) and Molecular Biology (1.0k citations). Vaidotas Kiseliovas has collaborated with scholars based in Lithuania, United States and Czechia. Frequent co-authors include Linas Mažutis, Dana Pe’er, Manu Setty, Ruby Wasti, Juozas Nainys, Kristy Choi, Andrew Cornish, Peter T. McKenney, George Plitas and Ambrose Carr. Their work appears in journals such as Genome biology, Nature Microbiology, Angewandte Chemie International Edition, Frontiers in Microbiology and Blood.
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.