Gregor Sturm
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
-
- Single-cell and spatial transcriptomics 13
- Gene expression and cancer classification 2
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- Immune cells in cancer 5
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Immune Cell Function and Interaction 3
- Co-authors
- Francesca Finotello (12 shared papers)Markus List (7 shared papers)Jitao David Zhang (3 shared papers)Florent Petitprez (1 shared paper)Jan Baumbach (1 shared paper)Wolf H. Fridman (1 shared paper)Tatsiana Aneichyk (1 shared paper)Zlatko Trajanoski (13 shared papers)
- Journals
- Bioinformatics (3 papers)Trends in cancer (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Frontiers in Immunology (1 paper)iScience (1 paper)
- Partner nations
- AustriaGermanyNetherlands
In The Last Decade
Gregor Sturm
22 papers receiving 1.2k citations
Gregor Sturm's Hit Papers
Peers
Comparison fields: 5 of 68
- Cancer Research 224
- Immunology 320
- Oncology 315
- Pulmonary and Respiratory Medicine 222
- Molecular Biology 450
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 24 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 | 586 |
| 2 | 2020 | 172 | |
| 3 | 2020 | 96 | |
| 4 | 2020 | 93 | |
| 5 | 2021 | 41 | |
| 6 | 2011 | 36 | |
| 7 | 2017 | 33 | |
| 8 | 2022 | 26 | |
| 9 | 2024 | 21 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 13 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2013 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2022 | 1 | |
| 20 | 2026 | 1 |
About Gregor Sturm
Gregor Sturm is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Surgery, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (13 papers), Immune cells in cancer (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Immune Cell Function and Interaction (3 papers), Inflammatory Bowel Disease (3 papers), Gene expression and cancer classification (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (224 citations), Immunology (320 citations), Oncology (315 citations), Pulmonary and Respiratory Medicine (222 citations) and Molecular Biology (450 citations). Gregor Sturm has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Francesca Finotello, Markus List, Jitao David Zhang, Florent Petitprez, Jan Baumbach, Wolf H. Fridman, Tatsiana Aneichyk, Zlatko Trajanoski, Tamás Szabó and Dietmar Rieder. Their work appears in journals such as Bioinformatics, Trends in cancer, Journal for ImmunoTherapy of Cancer, Frontiers in Immunology 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.