Daniela Kramer

1.7k total citations
31 papers, 853 citations indexed

About

Daniela Kramer is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Daniela Kramer has authored 31 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 10 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Daniela Kramer's work include Immune Response and Inflammation (7 papers), Lysosomal Storage Disorders Research (5 papers) and Psoriasis: Treatment and Pathogenesis (5 papers). Daniela Kramer is often cited by papers focused on Immune Response and Inflammation (7 papers), Lysosomal Storage Disorders Research (5 papers) and Psoriasis: Treatment and Pathogenesis (5 papers). Daniela Kramer collaborates with scholars based in Germany, Austria and United States. Daniela Kramer's co-authors include Claudia Sommer, Nurcan Üçeyler, Stephan Hailfinger, Klaus Schulze‐Osthoff, Anne Müller, Matthias Dobbelstein, Hendrik G. Stunnenberg, Ute M. Moll, Frank Weidemann and Christoph Wanner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Daniela Kramer

27 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Kramer Germany 15 383 235 187 163 104 31 853
Laurent Magnenat United States 10 591 1.5× 63 0.3× 795 4.3× 171 1.0× 115 1.1× 12 1.5k
Cynthia J. L. Carruthers United States 12 481 1.3× 424 1.8× 706 3.8× 188 1.2× 67 0.6× 13 1.5k
Ana Lustig United States 15 242 0.6× 125 0.5× 269 1.4× 99 0.6× 60 0.6× 24 680
Mitsuhiro Kanamori Japan 12 290 0.8× 78 0.3× 603 3.2× 249 1.5× 75 0.7× 15 1.2k
Hongxi Chen China 17 261 0.7× 46 0.2× 188 1.0× 53 0.3× 166 1.6× 107 1000
Hidefumi Tonoki Japan 18 751 2.0× 185 0.8× 132 0.7× 170 1.0× 518 5.0× 48 1.5k
Hanna Salmonowicz United Kingdom 8 388 1.0× 241 1.0× 155 0.8× 41 0.3× 39 0.4× 11 767
Timothy M. Stearns United States 19 442 1.2× 162 0.7× 199 1.1× 92 0.6× 148 1.4× 51 1.0k
Eija H. Seppälä Finland 17 436 1.1× 94 0.4× 88 0.5× 88 0.5× 417 4.0× 34 1.1k
Abhijit Kale United States 10 594 1.6× 623 2.7× 374 2.0× 83 0.5× 54 0.5× 14 1.3k

Countries citing papers authored by Daniela Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Kramer. A scholar is included among the top collaborators of Daniela Kramer 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 Daniela Kramer. Daniela Kramer 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.
Ohnmacht, Caspar, et al.. (2025). Regulation and Function of the Atypical IκBs—Bcl‐3, IκB NS , and IκBζ—in Lymphocytes and Autoimmunity. European Journal of Immunology. 55(5). e202451273–e202451273.
2.
Pásztói, Mária, Tilo Biedermann, Ingo Schmitz, et al.. (2024). The atypical IκB family member Bcl3 determines differentiation and fate of intestinal RORγt+ regulatory T-cell subsets. Mucosal Immunology. 17(4). 673–691. 2 indexed citations
3.
Macleod, Tom, et al.. (2024). Epidermal proteomics demonstrates Elafin as a psoriasis‐specific biomarker and highlights increased anti‐inflammatory activity around psoriatic plaques. Journal of the European Academy of Dermatology and Venereology. 39(7). 1324–1335. 1 indexed citations
4.
Wegner, Joanna, et al.. (2024). LL37/self-DNA complexes mediate monocyte reprogramming. Clinical Immunology. 265. 110287–110287. 3 indexed citations
5.
Waisman, Ari, et al.. (2023). IL-17A-driven psoriasis is critically dependent on IL-36 signaling. Frontiers in Immunology. 14. 1256133–1256133. 12 indexed citations
6.
Stubenrauch, Frank, Katrin Klein, Daniela Kramer, et al.. (2021). Expression of E8^E2 Is Required for Wart Formation by Mouse Papillomavirus 1 In Vivo. Journal of Virology. 95(8). 9 indexed citations
7.
Bucher, Philip, Anja Schmitt, Caroline Schönfeld, et al.. (2020). Threonine Phosphorylation of IκBζ Mediates Inhibition of Selective Proinflammatory Target Genes. Journal of Investigative Dermatology. 140(9). 1805–1814.e6. 6 indexed citations
8.
Bucher, Philip, Tabea Erdmann, Wendan Xu, et al.. (2019). Targeting chronic NFAT activation with calcineurin inhibitors in diffuse large B-cell lymphoma. Blood. 135(2). 121–132. 27 indexed citations
9.
Müller, Anne, Jessica Löffler, Philip Bucher, et al.. (2019). Keratinocyte-derived IκBζ drives psoriasis and associated systemic inflammation. JCI Insight. 4(22). 30 indexed citations
10.
11.
Schwenck, Johannes, Wolfgang Thaiss, Daniela Kramer, et al.. (2019). Temporal Dynamics of Reactive Oxygen and Nitrogen Species and NF-κB Activation During Acute and Chronic T Cell–Driven Inflammation. Molecular Imaging and Biology. 22(3). 504–514. 8 indexed citations
12.
Kramer, Daniela, Ramona Schulz‐Heddergott, Shelley J. Edmunds, et al.. (2016). Strong antitumor synergy between DNA crosslinking and HSP90 inhibition causes massive premitotic DNA fragmentation in ovarian cancer cells. Cell Death and Differentiation. 24(2). 300–316. 18 indexed citations
13.
Üçeyler, Nurcan, Nils Schröter, Daniela Kramer, et al.. (2016). Skin Globotriaosylceramide 3 Load Is Increased in Men with Advanced Fabry Disease. PLoS ONE. 11(11). e0166484–e0166484. 11 indexed citations
14.
Wienken, Magdalena, Antje Dickmanns, Alice Nemajerová, et al.. (2015). MDM2 Associates with Polycomb Repressor Complex 2 and Enhances Stemness-Promoting Chromatin Modifications Independent of p53. Molecular Cell. 61(1). 68–83. 76 indexed citations
15.
Kramer, Daniela, Michael P. Schön, Michaela Bayerlová, et al.. (2015). A pro-apoptotic function of iASPP by stabilizing p300 and CBP through inhibition of BRMS1 E3 ubiquitin ligase activity. Cell Death and Disease. 6(2). e1634–e1634. 11 indexed citations
16.
Üçeyler, Nurcan, György A. Homola, Daniela Kramer, et al.. (2014). Increased Arterial Diameters in the Posterior Cerebral Circulation in Men with Fabry Disease. PLoS ONE. 9(1). e87054–e87054. 32 indexed citations
17.
Üçeyler, Nurcan, et al.. (2013). Characterization of Pain in Fabry Disease. Clinical Journal of Pain. 30(10). 915–920. 79 indexed citations
18.
Üçeyler, Nurcan, Daniela Kramer, Daniel Zeller, et al.. (2013). Impaired small fiber conduction in patients with Fabry disease: a neurophysiological case–control study. BMC Neurology. 13(1). 47–47. 71 indexed citations
19.
Kramer, Jamie M., Merel A.W. Oortveld, Hendrik Marks, et al.. (2011). Epigenetic Regulation of Learning and Memory by Drosophila EHMT/G9a. PLoS Biology. 9(1). e1000569–e1000569. 141 indexed citations
20.
Koeppel, Max, Simon J. van Heeringen, Daniela Kramer, et al.. (2011). Crosstalk between c-Jun and TAp73α/β contributes to the apoptosis–survival balance. Nucleic Acids Research. 39(14). 6069–6085. 43 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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