Katharina M. Glaser

683 total citations
9 papers, 285 citations indexed

About

Katharina M. Glaser is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Katharina M. Glaser has authored 9 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 1 paper in Oncology. Recurrent topics in Katharina M. Glaser's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), RNA modifications and cancer (1 paper) and Wireless Body Area Networks (1 paper). Katharina M. Glaser is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), RNA modifications and cancer (1 paper) and Wireless Body Area Networks (1 paper). Katharina M. Glaser collaborates with scholars based in Germany, United States and France. Katharina M. Glaser's co-authors include Michael Mihlan, Tim Lämmermann, Eduardo Reátegui, Philippe Schmitt‐Kopplin, Teresa K. Tarrant, Erwin Grill, Basem Kanawati, Sarah Eickhoff, Konrad Knöpper and Wolfgang Kastenmüller and has published in prestigious journals such as Science, Analytical Chemistry and The Plant Journal.

In The Last Decade

Katharina M. Glaser

9 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katharina M. Glaser Germany	7	138	132	33	26	20	9	285
Bethany Pillay Australia	7	102 0.7×	143 1.1×	12 0.4×	20 0.8×	17 0.8×	8	296
Daniëlle R. J. Verboogen Netherlands	7	177 1.3×	133 1.0×	39 1.2×	18 0.7×	20 1.0×	10	341
Eugenia Cammarota Italy	7	151 1.1×	192 1.5×	45 1.4×	9 0.3×	25 1.3×	12	378
Ilse Dingjan Netherlands	11	225 1.6×	221 1.7×	57 1.7×	36 1.4×	25 1.3×	12	509
Laurent M. Paardekooper Netherlands	8	198 1.4×	132 1.0×	18 0.5×	57 2.2×	18 0.9×	9	381
Victor G. Sendra United States	12	167 1.2×	183 1.4×	30 0.9×	32 1.2×	26 1.3×	34	460
Orestes López‐Ortega Mexico	11	57 0.4×	117 0.9×	29 0.9×	14 0.5×	17 0.8×	19	257
Roya M. Dayam Canada	8	88 0.6×	174 1.3×	120 3.6×	15 0.6×	59 3.0×	12	485
Sebastián Cruz-Gómez United States	9	151 1.1×	122 0.9×	26 0.8×	7 0.3×	14 0.7×	16	340
Wakio Torinuki Japan	12	78 0.6×	112 0.8×	54 1.6×	15 0.6×	19 0.9×	47	433

Countries citing papers authored by Katharina M. Glaser

Since Specialization

Citations

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

Fields of papers citing papers by Katharina M. Glaser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katharina M. Glaser. 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 Katharina M. Glaser. The network helps show where Katharina M. Glaser may publish in the future.

Co-authorship network of co-authors of Katharina M. Glaser

This figure shows the co-authorship network connecting the top 25 collaborators of Katharina M. Glaser. A scholar is included among the top collaborators of Katharina M. Glaser 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 Katharina M. Glaser. Katharina M. Glaser 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.

Glaser, Katharina M., et al.. (2023). Arp2/3 complex and the pentose phosphate pathway regulate late phases of neutrophil swarming. iScience. 27(1). 108656–108656. 5 indexed citations

2.

Schönberger, Katharina, Michael Mitterer, Katharina M. Glaser, et al.. (2023). LC-MS-Based Targeted Metabolomics for FACS-Purified Rare Cells. Analytical Chemistry. 95(9). 4325–4334. 12 indexed citations

3.

Glaser, Katharina M., Michael Mihlan, Anna Bremser, et al.. (2022). TFEB induces mitochondrial itaconate synthesis to suppress bacterial growth in macrophages. Nature Metabolism. 4(7). 856–866. 68 indexed citations

4.

Mihlan, Michael, et al.. (2022). Neutrophils: Amoeboid Migration and Swarming Dynamics in Tissues. Frontiers in Cell and Developmental Biology. 10. 871789–871789. 18 indexed citations

5.

Glaser, Katharina M., Teresa K. Tarrant, & Tim Lämmermann. (2022). Combinatorial depletions of G-protein coupled receptor kinases in immune cells identify pleiotropic and cell type-specific functions. Frontiers in Immunology. 13. 1039803–1039803. 4 indexed citations

6.

Glaser, Katharina M., Sarah Eickhoff, Michael Mihlan, et al.. (2021). Neutrophils self-limit swarming to contain bacterial growth in vivo. Science. 372(6548). 99 indexed citations

7.

Glaser, Katharina M., Michael Mihlan, & Tim Lämmermann. (2021). Positive feedback amplification in swarming immune cell populations. Current Opinion in Cell Biology. 72. 156–162. 16 indexed citations

8.

Glaser, Katharina M., et al.. (2016). Effect of Radiofrequency Radiation on Human Hematopoietic Stem Cells. Radiation Research. 186(5). 455–465. 21 indexed citations

9.

Glaser, Katharina M., et al.. (2013). Exploring the Arabidopsis sulfur metabolome. The Plant Journal. 77(1). 31–45. 42 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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