Karsten Bach
Impact in
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Developmental Biology and Gene Regulation
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Single-cell and spatial transcriptomics 8
- Epigenetics and DNA Methylation 1
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- Breast Cancer Treatment Studies 2
- Co-authors
- John C. Marioni (5 shared papers)Aaron T. L. Lun (3 shared papers)Walid T. Khaled (5 shared papers)Sara Pensa (4 shared papers)Arianne C. Richard (1 shared paper)Jonathan A. Griffiths (1 shared paper)Marta Grzelak (1 shared paper)David J. Adams (1 shared paper)
- Journals
- Nature Communications (6 papers)Nature (2 papers)Blood (1 paper)Nature Medicine (1 paper)iScience (1 paper)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Karsten Bach
17 papers receiving 2.4k citations
Karsten Bach's Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.1k
- Infectious Diseases 257
- Aging 22
- Immunology 240
- Sensory Systems 64
Countries citing papers authored by Karsten Bach
This map shows the geographic impact of Karsten Bach'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 Karsten Bach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Bach more than expected).
Fields of papers citing papers by Karsten Bach
This network shows the impact of papers produced by Karsten Bach. 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 Karsten Bach. The network helps show where Karsten Bach may publish in the future.
Co-authors
The 25 scholars most cited alongside Karsten Bach, 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 | Pooling across cells to normalize single-cell RNA sequencing data with many zero counts Hit paper breakdown → | 2016 | 785 |
| 2 | Single-cell multi-omics analysis of the immune response in COVID-19 Hit paper breakdown → | 2021 | 522 |
| 3 | 2017 | 241 | |
| 4 | 2018 | 216 | |
| 5 | 2018 | 208 | |
| 6 | 2022 | 134 | |
| 7 | 2019 | 75 | |
| 8 | 2022 | 71 | |
| 9 | 2018 | 51 | |
| 10 | 2021 | 43 | |
| 11 | 2020 | 34 | |
| 12 | 2024 | 14 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 3 | |
| 16 | 2016 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2025 | 0 |
About Karsten Bach
Karsten Bach is a scholar working on Molecular Biology, Cancer Research, Aging, Infectious Diseases and Immunology, having authored 18 papers that have together received 2.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), COVID-19 Clinical Research Studies (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Breast Cancer Treatment Studies (2 papers), Lung Cancer Treatments and Mutations (1 paper), Epigenetics and DNA Methylation (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Infectious Diseases (257 citations), Aging (22 citations), Immunology (240 citations) and Sensory Systems (64 citations). Karsten Bach has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include John C. Marioni, Aaron T. L. Lun, Walid T. Khaled, Sara Pensa, Arianne C. Richard, Jonathan A. Griffiths, Marta Grzelak, David J. Adams, James Hadfield and Ewan St. John Smith. Their work appears in journals such as Nature Communications, Nature, Blood, Nature Medicine 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.