Karin Pelka

5.1k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

Karin Pelka is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Karin Pelka has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Immunology and 6 papers in Oncology. Recurrent topics in Karin Pelka's work include Single-cell and spatial transcriptomics (7 papers), Immune Response and Inflammation (6 papers) and Cancer Genomics and Diagnostics (5 papers). Karin Pelka is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Immune Response and Inflammation (6 papers) and Cancer Genomics and Diagnostics (5 papers). Karin Pelka collaborates with scholars based in United States, Germany and Japan. Karin Pelka's co-authors include Eicke Latz, Nir Hacohen, Kensuke Miyake, Leif S. Ludwig, Christoph Muus, Aviv Regev, Caleb A. Lareau, Vijay G. Sankaran, Genevieve M. Boland and Martin J. Aryee and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Karin Pelka

21 papers receiving 1.1k citations

Hit Papers

Lineage Tracing in Humans Enabled by Mitochondrial Mutati... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karin Pelka United States 12 691 407 232 90 88 22 1.1k
Károly Módos Hungary 13 956 1.4× 127 0.3× 443 1.9× 59 0.7× 24 0.3× 28 1.2k
Reinier van der Linden Netherlands 20 714 1.0× 460 1.1× 66 0.3× 75 0.8× 75 0.9× 43 1.7k
Gregory J. Baker United States 15 495 0.7× 240 0.6× 120 0.5× 233 2.6× 22 0.3× 27 923
Kazushi Izawa Japan 16 270 0.4× 462 1.1× 51 0.2× 139 1.5× 82 0.9× 54 953
Julia Parrish-Novak United States 13 312 0.5× 1.1k 2.7× 119 0.5× 309 3.4× 86 1.0× 14 1.8k
Sherri Mudri United States 10 311 0.5× 1.3k 3.2× 199 0.9× 185 2.1× 52 0.6× 17 1.8k
Andrew G. Levine United States 7 307 0.4× 1.4k 3.5× 139 0.6× 421 4.7× 101 1.1× 9 2.0k
Margaret Moore United States 7 242 0.4× 1.3k 3.2× 147 0.6× 265 2.9× 111 1.3× 7 1.8k
H. E. Ramsey United States 17 678 1.0× 1.2k 2.9× 94 0.4× 376 4.2× 113 1.3× 32 2.2k
John Day United States 15 355 0.5× 94 0.2× 302 1.3× 77 0.9× 70 0.8× 31 1.2k

Countries citing papers authored by Karin Pelka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Karin Pelka

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Pelka. A scholar is included among the top collaborators of Karin Pelka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karin Pelka. Karin Pelka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Millard, Nghia, Jonathan Chen, Karin Pelka, et al.. (2025). Batch correcting single-cell spatial transcriptomics count data with Crescendo improves visualization and detection of spatial gene patterns. Genome biology. 26(1). 36–36. 1 indexed citations
2.
Pelka, Karin. (2025). Targeting immune hubs to advance cancer immunotherapy. Science Translational Medicine. 17(802). eadx7698–eadx7698. 3 indexed citations
3.
Yao, Hongcheng, Vjola Jorgji, David Lieb, et al.. (2024). Abstract 6555: scRNAseq and TCR repertoire analysis identifies immune correlates of response to combined BRAF/MEK/PD1 inhibition in a phase 2 trial. Cancer Research. 84(6_Supplement). 6555–6555.
4.
Lareau, Caleb A., Vincent Liu, Christoph Muus, et al.. (2023). Mitochondrial single-cell ATAC-seq for high-throughput multi-omic detection of mitochondrial genotypes and chromatin accessibility. Nature Protocols. 18(5). 1416–1440. 33 indexed citations
5.
Albers, Julian J. & Karin Pelka. (2022). Listening in on Multicellular Communication in Human Tissue Immunology. Frontiers in Immunology. 13. 884185–884185. 3 indexed citations
6.
Tian, Jun, Jonathan Chen, Sherry Chao, et al.. (2022). Abstract LB003: Combined BRAF, MEK, and PD-1 inhibition in BRAFV600E colorectal cancer patients: Correlative studies from a phase 2 trial. Cancer Research. 82(12_Supplement). LB003–LB003. 1 indexed citations
7.
Thada, Shruthi, Gábor Horváth, Mario M. Müller, et al.. (2021). Interaction of TLR4 and TLR8 in the Innate Immune Response against Mycobacterium Tuberculosis. International Journal of Molecular Sciences. 22(4). 1560–1560. 24 indexed citations
8.
Chen, Jonathan, Karin Pelka, Matan Hofree, et al.. (2021). Multicellular immune hubs and their organization in MMRd and MMRp colorectal cancer. The Journal of Immunology. 206(1_Supplement). 68.13–68.13. 3 indexed citations
9.
Lareau, Caleb A., Leif S. Ludwig, Christoph Muus, et al.. (2020). Massively parallel single-cell mitochondrial DNA genotyping and chromatin profiling. Nature Biotechnology. 39(4). 451–461. 178 indexed citations
10.
Ludwig, Leif S., Caleb A. Lareau, Jacob C. Ulirsch, et al.. (2019). Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics. Cell. 176(6). 1325–1339.e22. 325 indexed citations breakdown →
11.
Pelka, Karin, Damien Bertheloot, Kshiti Phulphagar, et al.. (2018). The Chaperone UNC93B1 Regulates Toll-like Receptor Stability Independently of Endosomal TLR Transport. Immunity. 48(5). 911–922.e7. 98 indexed citations
12.
Pelka, Karin & Dominic De Nardo. (2017). Emerging Concepts in Innate Immunity. Methods in molecular biology. 1714. 1–18. 11 indexed citations
13.
Bossaller, Lukas, Anette Christ, Karin Pelka, et al.. (2016). TLR9 Deficiency Leads to Accelerated Renal Disease and Myeloid Lineage Abnormalities in Pristane-Induced Murine Lupus. The Journal of Immunology. 197(4). 1044–1053. 51 indexed citations
14.
Pelka, Karin, Takuma Shibata, Kensuke Miyake, & Eicke Latz. (2015). Nucleic acid‐sensing TLRs and autoimmunity: novel insights from structural and cell biology. Immunological Reviews. 269(1). 60–75. 84 indexed citations
15.
Schmid‐Burgk, Jonathan L., Tobias Schmidt, Moritz M. Gaidt, et al.. (2014). OutKnocker: a web tool for rapid and simple genotyping of designer nuclease edited cell lines. Genome Research. 24(10). 1719–1723. 100 indexed citations
16.
Pelka, Karin, Kshiti Phulphagar, Rainer Stahl, et al.. (2014). Cutting Edge: The UNC93B1 Tyrosine-Based Motif Regulates Trafficking and TLR Responses via Separate Mechanisms. The Journal of Immunology. 193(7). 3257–3261. 31 indexed citations
18.
Pelka, Karin, et al.. (1980). The Pioneer Venus Bus Neutral Gas Mass Spectrometer. IEEE Transactions on Geoscience and Remote Sensing. GE-18(1). 122–126. 7 indexed citations
19.
Zahn, U. von, et al.. (1979). Venus: eddy coefficients in the thermosphere and the inferred helium content of the lower atmosphere. Geophysical Research Letters. 6(5). 337–340. 45 indexed citations
20.
Offermann, D., Karin Pelka, & U. von Zahn. (1972). Mass spectrometric measurements of minor constituents in the lower thermosphere. International Journal of Mass Spectrometry and Ion Physics. 8(4). 391–401. 6 indexed citations

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.

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