Gregor Sturm
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Immunology top 5%
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
-
- Single-cell and spatial transcriptomics 14
- Gene expression and cancer classification 2
- Oncology 7
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Francesca Finotello (11 shared papers)Markus List (8 shared papers)Jitao David Zhang (3 shared papers)Tatsiana Aneichyk (1 shared paper)Florent Petitprez (1 shared paper)Wolf H. Fridman (1 shared paper)Jan Baumbach (1 shared paper)Zlatko Trajanoski (10 shared papers)
- Journals
- Bioinformatics (3 papers)Gut (2 papers)Cancer Cell (2 papers)Nature Methods (2 papers)iScience (2 papers)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Gregor Sturm
36 papers receiving 2.2k citations
Gregor Sturm's Hit Papers
Peers
Comparison fields: 5 of 93
- Oncology 657
- Immunology 375
- Cancer Research 194
- Molecular Biology 667
- Neurology 50
Countries citing papers authored by Gregor Sturm
This map shows the geographic impact of Gregor Sturm'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 Gregor Sturm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Sturm more than expected).
Fields of papers citing papers by Gregor Sturm
This network shows the impact of papers produced by Gregor Sturm. 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 Gregor Sturm. The network helps show where Gregor Sturm may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregor Sturm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology Hit paper breakdown → | 2019 | 666 |
| 2 | High-Resolution Single-Cell Atlas Reveals Diversity and Plasticity of Tissue-Resident Neutrophils in Non-Small Cell Lung Cancer Hit paper breakdown → | 2022 | 330 |
| 3 | 2020 | 213 | |
| 4 | 2020 | 159 | |
| 5 | The scverse project provides a computational ecosystem for single-cell omics data analysis Hit paper breakdown → | 2023 | 157 |
| 6 | 2020 | 106 | |
| 7 | 2020 | 56 | |
| 8 | 2021 | 47 | |
| 9 | 2023 | 46 | |
| 10 | 2021 | 44 | |
| 11 | 2023 | 44 | |
| 12 | 2017 | 39 | |
| 13 | 2011 | 37 | |
| 14 | 2022 | 27 | |
| 15 | 2023 | 26 | |
| 16 | 2024 | 26 | |
| 17 | 2023 | 21 | |
| 18 | 2025 | 19 | |
| 19 | 2022 | 18 | |
| 20 | 2023 | 18 |
About Gregor Sturm
Gregor Sturm is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Cancer Research, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (14 papers), Inflammatory Bowel Disease (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Immune cells in cancer (3 papers), T-cell and B-cell Immunology (2 papers), Gene expression and cancer classification (2 papers), Artificial Intelligence in Healthcare and Education (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Oncology (657 citations), Immunology (375 citations), Cancer Research (194 citations), Molecular Biology (667 citations) and Neurology (50 citations). Gregor Sturm has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Francesca Finotello, Markus List, Jitao David Zhang, Tatsiana Aneichyk, Florent Petitprez, Wolf H. Fridman, Jan Baumbach, Zlatko Trajanoski, Tamás Géza Szabó and Dietmar Rieder. Their work appears in journals such as Bioinformatics, Gut, Cancer Cell, Nature Methods and iScience.
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.