Olena Kuksenko
Impact in
- Gastroenterology top 5%
- Gastrointestinal motility and disorders
- Aging top 10%
Papers in
-
- Single-cell and spatial transcriptomics 6
- Gut microbiota and health 2
- CRISPR and Genetic Engineering 1
- RNA modifications and cancer 1
- Pluripotent Stem Cells Research 1
- Gene Regulatory Network Analysis 1
- Gene expression and cancer classification 1
- Aging 1
- Co-authors
- Aviv Regev (4 shared papers)Maria Ericsson (1 shared paper)Danielle A. Dionne (1 shared paper)Gökçen Eraslan (1 shared paper)Eugene Drokhlyansky (2 shared papers)Christopher S. Smillie (1 shared paper)Andrew J. Aguirre (1 shared paper)Nicholas Van Wittenberghe (2 shared papers)
- Journals
- Cell (3 papers)Cell Reports (1 paper)Nature Communications (1 paper)Science (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Olena Kuksenko
8 papers receiving 1.1k citations
Olena Kuksenko's Hit Papers
Peers
Comparison fields: 5 of 94
- Gastroenterology 156
- Aging 27
- Biophysics 70
- Immunology 166
- Molecular Biology 551
Countries citing papers authored by Olena Kuksenko
This map shows the geographic impact of Olena Kuksenko'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 Olena Kuksenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olena Kuksenko more than expected).
Fields of papers citing papers by Olena Kuksenko
This network shows the impact of papers produced by Olena Kuksenko. 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 Olena Kuksenko. The network helps show where Olena Kuksenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Olena Kuksenko, 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 | The Human and Mouse Enteric Nervous System at Single-Cell Resolution Hit paper breakdown → | 2020 | 426 |
| 2 | SenNet recommendations for detecting senescent cells in different tissues Hit paper breakdown → | 2024 | 243 |
| 3 | Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function Hit paper breakdown → | 2022 | 241 |
| 4 | 2023 | 117 | |
| 5 | 2020 | 113 | |
| 6 | 2024 | 5 | |
| 7 | 2025 | 4 | |
| 8 | 2025 | 1 |
About Olena Kuksenko
Olena Kuksenko is a scholar working on Molecular Biology, Aging, Biophysics, Neurology and Genetics, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Gut microbiota and health (2 papers), CRISPR and Genetic Engineering (1 paper), RNA modifications and cancer (1 paper), Pluripotent Stem Cells Research (1 paper), Gene Regulatory Network Analysis (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Gastroenterology (156 citations), Aging (27 citations), Biophysics (70 citations), Immunology (166 citations) and Molecular Biology (551 citations). Olena Kuksenko has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Aviv Regev, Maria Ericsson, Danielle A. Dionne, Gökçen Eraslan, Eugene Drokhlyansky, Christopher S. Smillie, Andrew J. Aguirre, Nicholas Van Wittenberghe, Gabriel K. Griffin and Tatyana Y. Sharova. Their work appears in journals such as Cell, Cell Reports, Nature Communications, Science and Nature Biotechnology.
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.