Karin Pelka
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- interferon and immune responses
- Immune Cell Function and Interaction
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 7
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- Immunology 10
- Immune Response and Inflammation 6
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Co-authors
- Eicke Latz (7 shared papers)Nir Hacohen (8 shared papers)Leif S. Ludwig (3 shared papers)Aviv Regev (4 shared papers)Vijay G. Sankaran (3 shared papers)Caleb A. Lareau (3 shared papers)Kensuke Miyake (2 shared papers)Christoph Muus (3 shared papers)
- Journals
- The Journal of Immunology (4 papers)Cancer Research (2 papers)Immunity (1 paper)Frontiers in Immunology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Karin Pelka
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 407
- Cancer Research 232
- Molecular Biology 691
- Biophysics 44
- Hematology 73
Countries citing papers authored by Karin Pelka
This map shows the geographic impact of Karin Pelka'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 Karin Pelka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Pelka more than expected).
Fields of papers citing papers by Karin Pelka
This network shows the impact of papers produced by Karin Pelka. 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 Karin Pelka. The network helps show where Karin Pelka may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Pelka, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics Hit paper breakdown → | 2019 | 325 |
| 2 | 2020 | 178 | |
| 3 | 2014 | 100 | |
| 4 | 2018 | 98 | |
| 5 | 2015 | 84 | |
| 6 | 2015 | 70 | |
| 7 | 2016 | 51 | |
| 8 | 1979 | 45 | |
| 9 | 2023 | 33 | |
| 10 | 2014 | 31 | |
| 11 | 2013 | 25 | |
| 12 | 2021 | 24 | |
| 13 | 2017 | 11 | |
| 14 | 1980 | 7 | |
| 15 | 1972 | 6 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2025 | 1 |
About Karin Pelka
Karin Pelka is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Astronomy and Astrophysics, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Immune Response and Inflammation (6 papers), Cancer Genomics and Diagnostics (5 papers), CRISPR and Genetic Engineering (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Immunology (407 citations), Cancer Research (232 citations), Molecular Biology (691 citations), Biophysics (44 citations) and Hematology (73 citations). Karin Pelka has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Eicke Latz, Nir Hacohen, Leif S. Ludwig, Aviv Regev, Vijay G. Sankaran, Caleb A. Lareau, Kensuke Miyake, Christoph Muus, Genevieve M. Boland and Jason D. Buenrostro. Their work appears in journals such as The Journal of Immunology, Cancer Research, Immunity, Frontiers in Immunology and International Journal of Molecular Sciences.
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.