Frank J. Kaiser

6.0k total citations
83 papers, 1.9k citations indexed

About

Frank J. Kaiser is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Frank J. Kaiser has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 27 papers in Genetics and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Frank J. Kaiser's work include Genomics and Chromatin Dynamics (21 papers), RNA Research and Splicing (20 papers) and Genomic variations and chromosomal abnormalities (11 papers). Frank J. Kaiser is often cited by papers focused on Genomics and Chromatin Dynamics (21 papers), RNA Research and Splicing (20 papers) and Genomic variations and chromosomal abnormalities (11 papers). Frank J. Kaiser collaborates with scholars based in Germany, United Kingdom and United States. Frank J. Kaiser's co-authors include Brian E. Henderson, Diana Braunholz, Ilaria Parenti, Jens Zerrahn, Erwan Watrin, Kerstin S. Wendt, Steven C. Ley, Gabriele Gillessen‐Kaesbach, Stamatia Papoutsopoulou and Anne O’Garra and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Frank J. Kaiser

82 papers receiving 1.9k citations

Peers

Frank J. Kaiser
David M. Alvarado United States
Marcela V. Karpuj United States
Paul Le Tissier United Kingdom
Ty W. Abel United States
Ramón Vidal Germany
David M. Alvarado United States
Frank J. Kaiser
Citations per year, relative to Frank J. Kaiser Frank J. Kaiser (= 1×) peers David M. Alvarado

Countries citing papers authored by Frank J. Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Frank J. Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank J. Kaiser. 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 Frank J. Kaiser. The network helps show where Frank J. Kaiser may publish in the future.

Co-authorship network of co-authors of Frank J. Kaiser

This figure shows the co-authorship network connecting the top 25 collaborators of Frank J. Kaiser. A scholar is included among the top collaborators of Frank J. Kaiser 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 Frank J. Kaiser. Frank J. Kaiser 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.
Depienne, Christel, Corinna Preuße, Adela Della Marina, et al.. (2024). Skeletal muscle vulnerability in a child with Pitt-Hopkins syndrome. Skeletal Muscle. 14(1). 15–15. 1 indexed citations
2.
Hönes, Georg Sebastian, Jens Mittag, Frank J. Kaiser, et al.. (2024). Cardiac recovery from pressure overload is not altered by thyroid hormone status in old mice. Frontiers in Endocrinology. 15. 1339741–1339741. 1 indexed citations
3.
Trinh, Joanne, Susen Schaake, Björn‐Hergen Laabs, et al.. (2022). Mosaic divergent repeat interruptions in XDP influence repeat stability and disease onset. Brain. 146(3). 1075–1082. 15 indexed citations
4.
Müller, Christian, Bastian Stoffers, Mélanie Waldenberger, et al.. (2022). G Protein-Coupled Receptor 15 Expression Is Associated with Myocardial Infarction. International Journal of Molecular Sciences. 24(1). 180–180. 7 indexed citations
5.
Latorre, Ana, Beatriz Puisac, María Arnedo, et al.. (2022). Endocrine Evaluation and Homeostatic Model Assessment in Patients with Cornelia de Lange Syndrome. Journal of Clinical Research in Pediatric Endocrinology. 16(2). 211–217. 2 indexed citations
6.
Yigit, Gökhan, Janine Altmüller, Hölger Thiele, et al.. (2021). MFSD2A-associated primary microcephaly - Expanding the clinical and mutational spectrum of this ultra-rare disease. European Journal of Medical Genetics. 64(10). 104310–104310. 6 indexed citations
7.
Gold, Nina B., Dong Li, Anna Chassevent, et al.. (2020). Heterozygous de novo variants in CSNK1G1 are associated with syndromic developmental delay and autism spectrum disorder. Clinical Genetics. 98(6). 571–576. 10 indexed citations
8.
Schaake, Susen, Karen Grütz, Inke R. König, et al.. (2020). DNA Methylation as a Potential Molecular Mechanism in X‐linked Dystonia‐Parkinsonism. Movement Disorders. 35(12). 2220–2229. 6 indexed citations
9.
Avagliano, Laura, Ilaria Parenti, Chiara Parodi, et al.. (2019). Chromatinopathies: A focus on Cornelia de Lange syndrome. Clinical Genetics. 97(1). 3–11. 34 indexed citations
10.
Puisac, Beatriz, Torkild Visnes, Christopher Bot, et al.. (2017). mRNA Quantification of NIPBL Isoforms A and B in Adult and Fetal Human Tissues, and a Potentially Pathological Variant Affecting Only Isoform A in Two Patients with Cornelia de Lange Syndrome. International Journal of Molecular Sciences. 18(3). 481–481. 3 indexed citations
11.
Ronaldson, Amy, Ahmad Mahfuz Gazali, Frank J. Kaiser, et al.. (2015). Increased percentages of regulatory T cells are associated with inflammatory and neuroendocrine responses to acute psychological stress and poorer health status in older men and women. Psychopharmacology. 233(9). 1661–1668. 28 indexed citations
12.
Seibler, Philip, Diana Braunholz, Reinhard Depping, et al.. (2014). THAP1, the gene mutated in DYT6 dystonia, autoregulates its own expression. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(11). 1196–1204. 18 indexed citations
13.
Miller, Clint L., Nicholas J. Leeper, Ramendra K. Kundu, et al.. (2014). Coronary Heart Disease-Associated Variation in TCF21 Disrupts a miR-224 Binding Site and miRNA-Mediated Regulation. PLoS Genetics. 10(3). e1004263–e1004263. 87 indexed citations
14.
Platzer, Konrad, Irina Hüning, Thomas Schwarzmayr, et al.. (2014). Exome sequencing identifies compound heterozygous mutations in C12orf57 in two siblings with severe intellectual disability, hypoplasia of the corpus callosum, chorioretinal coloboma, and intractable seizures. American Journal of Medical Genetics Part A. 164(8). 1976–1980. 6 indexed citations
15.
Henderson, Brian E. & Frank J. Kaiser. (2013). Do reciprocal interactions between cell stress proteins and cytokines create a new intra-/extra-cellular signalling nexus?. Cell Stress and Chaperones. 18(6). 685–701. 17 indexed citations
16.
Kaiser, Frank J., Aleksandar Raković, Diana Braunholz, et al.. (2010). The dystonia gene DYT1 is repressed by the transcription factor THAP1 (DYT6). Annals of Neurology. 68(4). 554–559. 64 indexed citations
17.
Wuelling, Manuela, Frank J. Kaiser, Diana Braunholz, Reinhard Depping, & Andrea Vortkamp. (2009). 09-P024 The transcription factor Trps1 interacts with the activator form of Gli3 to regulate chondrocyte proliferation and differentiation. Mechanisms of Development. 126. S157–S157. 2 indexed citations
18.
Xu, Weizhen, Manuela Wülling, Melanie Albrecht, et al.. (2008). The Cohesin loading factor NIPBL recruits histone deacetylases to mediate local chromatin modifications. Nucleic Acids Research. 36(20). 6450–6458. 45 indexed citations
19.
Kaiser, Frank J., Stefan H. E. Kaufmann, & Jens Zerrahn. (2004). IIGP, a member of the IFN inducible and microbial defense mediating 47 kDa GTPase family, interacts with the microtubule binding protein hook3. Journal of Cell Science. 117(9). 1747–1756. 26 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026