Elisabeth Kremmer

38.5k total citations · 5 hit papers
428 papers, 28.9k citations indexed

About

Elisabeth Kremmer is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Elisabeth Kremmer has authored 428 papers receiving a total of 28.9k indexed citations (citations by other indexed papers that have themselves been cited), including 232 papers in Molecular Biology, 123 papers in Immunology and 100 papers in Oncology. Recurrent topics in Elisabeth Kremmer's work include T-cell and B-cell Immunology (55 papers), Immune Cell Function and Interaction (52 papers) and Viral-associated cancers and disorders (49 papers). Elisabeth Kremmer is often cited by papers focused on T-cell and B-cell Immunology (55 papers), Immune Cell Function and Interaction (52 papers) and Viral-associated cancers and disorders (49 papers). Elisabeth Kremmer collaborates with scholars based in Germany, United States and United Kingdom. Elisabeth Kremmer's co-authors include Reinhold Förster, Martin Lipp, Christian Haass, Lars Ohl, Federica Sallusto, Hans A. Kretzschmar, Dieter Edbauer, Joachim W. Ellwart, Dagmar Breitfeld and Dirk Eick and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Elisabeth Kremmer

426 papers receiving 28.5k citations

Hit Papers

Glutathione Peroxidase 4 ... 2000 2026 2008 2017 2008 2000 2013 2000 2013 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Glutathione Peroxidase 4 Senses and Translates Oxidative Stress into 12/15-Lipoxygenase Dependent- and AIF-Mediated Cell Death
    2008 1.1k citations Elisabeth Kremmer et al. profile →
  2. Follicular B Helper T Cells Express Cxc Chemokine Receptor 5, Localize to B Cell Follicles, and Support Immunoglobulin Production
    2000 1.1k citations Elisabeth Kremmer, Reinhold Förster et al. profile →
  3. The C9orf72 GGGGCC Repeat Is Translated into Aggregating Dipeptide-Repeat Proteins in FTLD/ALS
    2013 928 citations Thomas Arzberger, Stephanie May et al. Science profile →
  4. Subcellular Localization of Wild-Type and Parkinson's Disease-Associated Mutant α-Synuclein in Human and Transgenic Mouse Brain
    2000 521 citations Elisabeth Kremmer et al. profile →
  5. Bidirectional transcripts of the expanded C9orf72 hexanucleotide repeat are translated into aggregating dipeptide repeat proteins
    2013 362 citations Thomas Arzberger, Friedrich A. Grässer et al. Acta Neuropathologica profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisabeth Kremmer Germany 96 14.5k 8.1k 5.8k 3.2k 2.7k 428 28.9k
Akihiko Yoshimura Japan 82 10.6k 0.7× 11.3k 1.4× 7.0k 1.2× 725 0.2× 3.1k 1.1× 349 27.4k
Yoshihide Tsujimoto Japan 85 18.8k 1.3× 4.0k 0.5× 4.3k 0.7× 1.1k 0.3× 2.4k 0.9× 184 28.6k
A. Thomas Look United States 101 21.0k 1.5× 7.0k 0.9× 8.2k 1.4× 5.3k 1.7× 5.4k 2.0× 385 40.5k
Robert J. Coffey United States 98 16.7k 1.2× 2.8k 0.4× 7.8k 1.3× 3.5k 1.1× 6.4k 2.4× 416 34.1k
Julian Downward United Kingdom 101 30.1k 2.1× 5.1k 0.6× 11.4k 2.0× 2.5k 0.8× 4.9k 1.8× 292 41.7k
Jon C. Aster United States 96 20.4k 1.4× 5.5k 0.7× 7.9k 1.4× 904 0.3× 3.8k 1.4× 278 32.0k
John L. Cleveland United States 78 14.8k 1.0× 4.7k 0.6× 6.8k 1.2× 620 0.2× 3.3k 1.2× 224 22.7k
Michael D. Waterfield United Kingdom 80 20.8k 1.4× 4.3k 0.5× 7.2k 1.2× 1.2k 0.4× 2.2k 0.8× 187 32.3k
Paul B. Fisher United States 89 16.6k 1.1× 7.4k 0.9× 10.4k 1.8× 796 0.3× 3.5k 1.3× 568 31.4k
Stanisław Krajewski United States 72 15.2k 1.1× 3.4k 0.4× 5.4k 0.9× 812 0.3× 2.7k 1.0× 183 22.9k

Countries citing papers authored by Elisabeth Kremmer

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Kremmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Kremmer

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Kremmer. A scholar is included among the top collaborators of Elisabeth Kremmer 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 Elisabeth Kremmer. Elisabeth Kremmer 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.
Buschle, Alexander, Xia Wu, Stefan Krebs, et al.. (2021). Human ORC/MCM density is low in active genes and correlates with replication time but does not delimit initiation zones. eLife. 10. 25 indexed citations
2.
Koch, Sandra, Elias Hage, Akshay Dhingra, et al.. (2019). Kaposi’s sarcoma-associated herpesvirus vIRF2 protein utilizes an IFN-dependent pathway to regulate viral early gene expression. PLoS Pathogens. 15(5). e1007743–e1007743. 13 indexed citations
3.
Schludi, Martin H., Stephanie May, Friedrich A. Grässer, et al.. (2015). Distribution of dipeptide repeat proteins in cellular models and C9orf72 mutation cases suggests link to transcriptional silencing. Acta Neuropathologica. 130(4). 537–555. 139 indexed citations
4.
Gondi, Gábor, Josef Mysliwietz, Alžbeta Hulı́ková, et al.. (2013). Antitumor Efficacy of a Monoclonal Antibody That Inhibits the Activity of Cancer-Associated Carbonic Anhydrase XII. Cancer Research. 73(21). 6494–6503. 44 indexed citations
5.
Windheim, Mark, Jennifer H. Southcombe, Elisabeth Kremmer, et al.. (2013). A unique secreted adenovirus E3 protein binds to the leukocyte common antigen CD45 and modulates leukocyte functions. Proceedings of the National Academy of Sciences. 110(50). E4884–93. 41 indexed citations
6.
Schilling, Oliver, et al.. (2012). NSP4, an elastase-related protease in human neutrophils with arginine specificity. Proceedings of the National Academy of Sciences. 109(16). 6229–6234. 91 indexed citations
7.
Mayer, Andreas, Martin Heidemann, Michael Lidschreiber, et al.. (2012). CTD Tyrosine Phosphorylation Impairs Termination Factor Recruitment to RNA Polymerase II. Science. 336(6089). 1723–1725. 201 indexed citations
8.
Bönisch, Clemens, Katrin Schneider, Marco Bocola, et al.. (2012). H2A.Z.2.2 is an alternatively spliced histone H2A.Z variant that causes severe nucleosome destabilization. Nucleic Acids Research. 40(13). 5951–5964. 82 indexed citations
9.
Ramaiah, M. Janaki, I.R. Vetter, Elisabeth Kremmer, et al.. (2011). The RNA Helicase Rm62 Cooperates with SU(VAR)3-9 to Re-Silence Active Transcription in Drosophila melanogaster. PLoS ONE. 6(6). e20761–e20761. 9 indexed citations
10.
Begus‐Nahrmann, Yvonne, Frank Krämer, Magali Hennion, et al.. (2011). Estrogen-Dependent Gene Transcription in Human Breast Cancer Cells Relies upon Proteasome-Dependent Monoubiquitination of Histone H2B. Cancer Research. 71(17). 5739–5753. 119 indexed citations
11.
Szczyrba, Jaroslaw, Elke Nolte, Sven Wach, et al.. (2011). Downregulation of Sec23A Protein by miRNA-375 in Prostate Carcinoma. Molecular Cancer Research. 9(6). 791–800. 96 indexed citations
12.
Jochmann, Ramona, Mathias Thurau, Christian Hofmann, et al.. (2009). O-Linked N -Acetylglucosaminylation of Sp1 Inhibits the Human Immunodeficiency Virus Type 1 Promoter. Journal of Virology. 83(8). 3704–3718. 35 indexed citations
13.
Seth, Sebastian, Inga Ravens, Elisabeth Kremmer, et al.. (2009). Abundance of follicular helper T cells in Peyer's patches is modulated by CD155. European Journal of Immunology. 39(11). 3160–3170. 26 indexed citations
14.
Rottach, Andrea, Elisabeth Kremmer, Danny Nowak, et al.. (2008). Generation and Characterization of a Rat Monoclonal Antibody Specific for PCNA. Hybridoma. 27(2). 91–98. 13 indexed citations
15.
Chapman, Rob D., Martin Heidemann, Thomas Albert, et al.. (2007). Transcribing RNA Polymerase II Is Phosphorylated at CTD Residue Serine-7. Science. 318(5857). 1780–1782. 250 indexed citations
16.
17.
Marhold, Joachim, et al.. (2004). The Drosophila MBD2/3 protein mediates interactions between the MI-2 chromatin complex and CpT/A-methylated DNA. Development. 131(24). 6033–6039. 43 indexed citations
18.
Lubeseder–Martellato, Clara, Eric Guenzi, Elisabeth Naschberger, et al.. (2002). Guanylate-Binding Protein-1 Expression Is Selectively Induced by Inflammatory Cytokines and Is an Activation Marker of Endothelial Cells during Inflammatory Diseases. American Journal Of Pathology. 161(5). 1749–1759. 126 indexed citations
19.
20.
Kremmer, Elisabeth, et al.. (1990). Monoclonal Antibodies to Complement Components Without the Need of Their Prior Purification. II. Antibodies to Mouse C3 And C4. Hybridoma. 9(4). 309–317. 8 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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