Katka Franke

954 total citations
9 papers, 233 citations indexed

About

Katka Franke is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Katka Franke has authored 9 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Katka Franke's work include Phagocytosis and Immune Regulation (3 papers), Immune cells in cancer (3 papers) and Immune Response and Inflammation (2 papers). Katka Franke is often cited by papers focused on Phagocytosis and Immune Regulation (3 papers), Immune cells in cancer (3 papers) and Immune Response and Inflammation (2 papers). Katka Franke collaborates with scholars based in Netherlands, Germany and United States. Katka Franke's co-authors include Hanke L. Matlung, Taco W. Kuijpers, Timo K. van den Berg, Paul J.J.H. Verkuijlen, Michel van Houdt, Louise W. Treffers, Thomas Valerius, Robin van Bruggen, Karin Schornagel and Toine ten Broeke and has published in prestigious journals such as Frontiers in Immunology, Cancers and Pharmaceutics.

In The Last Decade

Katka Franke

9 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katka Franke Netherlands	7	175	70	66	57	21	9	233
Shin Ebihara Japan	7	321 1.8×	99 1.4×	98 1.5×	43 0.8×	16 0.8×	10	401
Courtney A. Iberg United States	7	268 1.5×	71 1.0×	25 0.4×	42 0.7×	14 0.7×	8	326
Ekta Patel United States	6	174 1.0×	34 0.5×	41 0.6×	33 0.6×	28 1.3×	9	244
Fernanda Castro United Kingdom	6	145 0.8×	89 1.3×	40 0.6×	64 1.1×	6 0.3×	8	242
Hilma J. van der Horst Netherlands	7	115 0.7×	81 1.2×	114 1.7×	131 2.3×	5 0.2×	12	256
Iga Janowska Germany	8	118 0.7×	58 0.8×	24 0.4×	38 0.7×	10 0.5×	14	236
Jim West	3	174 1.0×	54 0.8×	30 0.5×	136 2.4×	15 0.7×	4	273
Xiao-Tao Yao United States	6	136 0.8×	114 1.6×	92 1.4×	132 2.3×	26 1.2×	8	286
Zea Melton United States	7	120 0.7×	113 1.6×	66 1.0×	165 2.9×	15 0.7×	8	288
Timothy Voorhees United States	8	55 0.3×	53 0.8×	23 0.3×	152 2.7×	9 0.4×	37	240

Countries citing papers authored by Katka Franke

Since Specialization

Citations

This map shows the geographic impact of Katka Franke'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 Katka Franke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katka Franke more than expected).

Fields of papers citing papers by Katka Franke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katka Franke. 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 Katka Franke. The network helps show where Katka Franke may publish in the future.

Co-authorship network of co-authors of Katka Franke

This figure shows the co-authorship network connecting the top 25 collaborators of Katka Franke. A scholar is included among the top collaborators of Katka Franke 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 Katka Franke. Katka Franke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Hoogenboezem, Mark, Nikolina Bąbała, Robin van Bruggen, et al.. (2023). Humanized MISTRG as a preclinical in vivo model to study human neutrophil-mediated immune processes. Frontiers in Immunology. 14. 1105103–1105103. 6 indexed citations

2.

Franke, Katka, et al.. (2022). Development of a Personalized Tumor Neoantigen Based Vaccine Formulation (FRAME-001) for Use in a Phase II Trial for the Treatment of Advanced Non-Small Cell Lung Cancer. Pharmaceutics. 14(7). 1515–1515. 15 indexed citations

3.

Engels, Sander, Anja J. de Jong, Katka Franke, et al.. (2021). m6A methylation potentiates cytosolic dsDNA recognition in a sequence-specific manner. Open Biology. 11(3). 210030–210030. 11 indexed citations

4.

Rees, Dieke J. van, Lieke M. J. van Zogchel, Karin Schornagel, et al.. (2021). G-CSF as a suitable alternative to GM-CSF to boost dinutuximab-mediated neutrophil cytotoxicity in neuroblastoma treatment. Journal for ImmunoTherapy of Cancer. 9(5). e002259–e002259. 21 indexed citations

5.

Hoogendijk, Arjan J., Paul J.J.H. Verkuijlen, Karin Schornagel, et al.. (2021). CD47-SIRPα Checkpoint Inhibition Enhances Neutrophil-Mediated Killing of Dinutuximab-Opsonized Neuroblastoma Cells. Cancers. 13(17). 4261–4261. 18 indexed citations

6.

Franke, Katka, Mark Hoogenboezem, Marion J. Gijbels, et al.. (2020). SIRPα on Mouse B1 Cells Restricts Lymphoid Tissue Migration and Natural Antibody Production. Frontiers in Immunology. 11. 570963–570963. 8 indexed citations

7.

Treffers, Louise W., Toine ten Broeke, Thies Rösner, et al.. (2019). IgA-Mediated Killing of Tumor Cells by Neutrophils Is Enhanced by CD47–SIRPα Checkpoint Inhibition. Cancer Immunology Research. 8(1). 120–130. 72 indexed citations

8.

Treffers, Louise W., Michel van Houdt, Christine W. Bruggeman, et al.. (2019). FcγRIIIb Restricts Antibody-Dependent Destruction of Cancer Cells by Human Neutrophils. Frontiers in Immunology. 9. 3124–3124. 81 indexed citations

9.

Franke, Katka, et al.. (1995). [Level of immunoglobulins A, G and M in the postoperative period].. PubMed. 20(4). 101–8. 1 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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