Anne Krogsdam

3.7k total citations
31 papers, 1.2k citations indexed

About

Anne Krogsdam is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Anne Krogsdam has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Immunology. Recurrent topics in Anne Krogsdam's work include Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (5 papers) and Immune Cell Function and Interaction (4 papers). Anne Krogsdam is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (5 papers) and Immune Cell Function and Interaction (4 papers). Anne Krogsdam collaborates with scholars based in Austria, Denmark and Germany. Anne Krogsdam's co-authors include Zlatko Trajanoski, Hubert Hackl, Pornpimol Charoentong, Karsten Kristiansen, M. Fischer, Mihaela Angelova, Bernhard Mlecnik, René Snajder, Gabriela Bindea and Maximilian J. Waldner and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Anne Krogsdam

31 papers receiving 1.2k citations

Peers

Anne Krogsdam

ONCOL

IMMUN

PRM

Rosana Meyer United States

Alfredo Castro United States

Bo Cen United States

Chun-Hau Chen United States

Aneela Majid United Kingdom

Ju‐Ming Wang Taiwan

Robert L. Kortum United States

Daniel T. Dransfield United States

Daniele Lecis Italy

Daniel P. Hollern United States

Rosana Meyer United States

Anne Krogsdam

1.1k ×1.7

308 ×0.6

ONCOL

187 ×0.5

IMMUN

220 ×1.0

85 ×0.6

PRM

Citations per year, relative to Anne Krogsdam Anne Krogsdam (= 1×) peers Rosana Meyer

Countries citing papers authored by Anne Krogsdam

Since Specialization

Citations

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

Fields of papers citing papers by Anne Krogsdam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Krogsdam

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

All Works

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20 of 20 papers shown

Heidegger, Isabel, Stefan Salcher, Piotr Tymoszuk, et al.. (2024). Prediction of Clinically Significant Prostate Cancer by a Specific Collagen-related Transcriptome, Proteome, and Urinome Signature. European Urology Oncology. 8(3). 652–662. 9 indexed citations

Salcher, Stefan, Isabel Heidegger, Gerold Untergasser, et al.. (2024). Comparative analysis of 10X Chromium vs. BD Rhapsody whole transcriptome single-cell sequencing technologies in complex human tissues. Heliyon. 10(7). e28358–e28358. 14 indexed citations

Kirchmair, Alexander, Marcel P. Trefny, Anne Krogsdam, et al.. (2023). 13C tracer analysis reveals the landscape of metabolic checkpoints in human CD8+ T cell differentiation and exhaustion. Frontiers in Immunology. 14. 1267816–1267816. 6 indexed citations

Indelicato, Elisabetta, Alexander Kirchmair, Matthias Amprosi, et al.. (2023). Skeletal muscle transcriptomics dissects the pathogenesis of Friedreich’s ataxia. Human Molecular Genetics. 32(13). 2241–2250. 5 indexed citations

Hess, Michael W., Paul Perco, Herbert Schramek, et al.. (2022). Exosomal mitochondrial tRNAs and miRNAs as potential predictors of inflammation in renal proximal tubular epithelial cells. Molecular Therapy — Nucleic Acids. 28. 794–813. 13 indexed citations

Klepsch, Victoria, Natascha Hermann‐Kleiter, Bojana Jakic, et al.. (2018). Nuclear receptor NR2F6 inhibition potentiates responses to PD-L1/PD-1 cancer immune checkpoint blockade. Nature Communications. 9(1). 1538–1538. 52 indexed citations

Deutsch, Alexander, Beate Rinner, Martin Pichler, et al.. (2017). NR4A3 Suppresses Lymphomagenesis through Induction of Proapoptotic Genes. Cancer Research. 77(9). 2375–2386. 22 indexed citations

Efremova, Mirjana, Dietmar Rieder, Victoria Klepsch, et al.. (2017). Targeting immune checkpoints potentiates immunoediting and changes the dynamics of tumor evolution. Nature Communications. 9(1). 32–32. 188 indexed citations

Willi, Michaela, et al.. (2016). Impact of the Chromatin Remodeling Factor CHD1 on Gut Microbiome Composition of Drosophila melanogaster. PLoS ONE. 11(4). e0153476–e0153476. 11 indexed citations

10.

Schafferer, Simon, Rimpi Khurana, Hubert Hackl, et al.. (2016). Changes in the miRNA-mRNA Regulatory Network Precede Motor Symptoms in a Mouse Model of Multiple System Atrophy: Clinical Implications. PLoS ONE. 11(3). e0150705–e0150705. 27 indexed citations

11.

Angelova, Mihaela, Pornpimol Charoentong, Hubert Hackl, et al.. (2015). Characterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy. Genome Biology. 16(1). 64–64. 387 indexed citations

12.

Rieder, Dietmar, Christian Ploner, Anne Krogsdam, et al.. (2013). Co-expressed genes prepositioned in spatial neighborhoods stochastically associate with SC35 speckles and RNA polymerase II factories. Cellular and Molecular Life Sciences. 71(9). 1741–1759. 36 indexed citations

13.

Bogner‐Strauß, Juliane Gertrude, Andreas Prokesch, Fátima Sánchez‐Cabo, et al.. (2010). Reconstruction of gene association network reveals a transmembrane protein required for adipogenesis and targeted by PPARγ. Cellular and Molecular Life Sciences. 67(23). 4049–4064. 38 indexed citations

14.

Prokesch, Andreas, Juliane Gertrude Bogner‐Strauß, Hubert Hackl, et al.. (2010). Arxes: retrotransposed genes required for adipogenesis. Nucleic Acids Research. 39(8). 3224–3239. 16 indexed citations

15.

Sørensen, Charlotte Brandt, et al.. (2004). Site-specific strand bias in gene correction using single-stranded oligonucleotides. Journal of Molecular Medicine. 83(1). 39–49. 17 indexed citations

16.

Nøhr, Jane, Karsten Kristiansen, & Anne Krogsdam. (2003). Protein Expression in Yeasts. Humana Press eBooks. 232. 111–126. 2 indexed citations

17.

Nøhr, Jane, Karsten Kristiansen, & Anne Krogsdam. (2003). Expression of Recombinant Proteins: An Introduction. Humana Press eBooks. 232. 93–102. 3 indexed citations

18.

Jørgensen, Claus, Anne Krogsdam, Irina Kratchmarova, et al.. (2002). Opposing Effects of Fatty Acids and Acyl‐CoA Esters on Conformation and Cofactor Recruitment of Peroxisome Proliferator‐Activated Receptors. Annals of the New York Academy of Sciences. 967(1). 431–439. 16 indexed citations

19.

Elholm, Morten, Claus Jørgensen, Anne Krogsdam, et al.. (2001). Acyl-CoA Esters Antagonize the Effects of Ligands on Peroxisome Proliferator-activated Receptor α Conformation, DNA Binding, and Interaction with Co-factors. Journal of Biological Chemistry. 276(24). 21410–21416. 42 indexed citations

20.

Nordhoff, Eckhard, Anne Krogsdam, Helle F. Jørgensen, et al.. (1999). Rapid identification of DNA-binding proteins by mass spectrometry. Nature Biotechnology. 17(9). 884–888. 57 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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