Anna Jauch
About
Anna Jauch is a scholar working on Molecular Biology, Hematology and Genetics.
According to data from OpenAlex, Anna Jauch has authored 194 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Molecular Biology, 69 papers in Hematology and 66 papers in Genetics. Recurrent topics in Anna Jauch's work include Multiple Myeloma Research and Treatments (52 papers), Genomic variations and chromosomal abnormalities (49 papers) and Chromosomal and Genetic Variations (25 papers). Anna Jauch is often cited by papers focused on Multiple Myeloma Research and Treatments (52 papers), Genomic variations and chromosomal abnormalities (49 papers) and Chromosomal and Genetic Variations (25 papers). Anna Jauch collaborates with scholars based in Germany, United States and France. Anna Jauch's co-authors include Thomas Cremer, Heidi Holtgreve-Grez, Hartmut Goldschmidt, Jan Karlseder, Dirk Hose, Johannes Wienberg, Roscoe Stanyon, Anthony D. Ho, Anja Seckinger and Martin Granzow and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
In The Last Decade
Anna Jauch
190 papers receiving 7.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Anna Jauch Germany | 43 | 5.2k | 1.8k | 1.6k | 1.6k | 1.0k | 194 | 7.7k | ||
| Nigel K. Spurr United Kingdom | 53 | 5.6k 1.1× | 1.2k 0.6× | 1.9k 1.2× | 1.8k 1.1× | 607 0.6× | 179 | 9.8k | ||
| Bryan D. Young United Kingdom | 61 | 5.2k 1.0× | 1.9k 1.0× | 1.5k 0.9× | 1.6k 1.0× | 634 0.6× | 191 | 9.2k | ||
| David A. Largaespada United States | 57 | 7.8k 1.5× | 996 0.5× | 2.6k 1.6× | 1.9k 1.2× | 954 0.9× | 213 | 11.8k | ||
| Gerd A. Blobel United States | 71 | 13.0k 2.5× | 2.0k 1.1× | 1.6k 1.0× | 1.2k 0.8× | 1.0k 1.0× | 185 | 15.7k | ||
| Manuel O. Dı́az United States | 47 | 4.3k 0.8× | 1.6k 0.9× | 991 0.6× | 1.5k 1.0× | 410 0.4× | 108 | 7.4k | ||
| Christopher R. Vakoc United States | 49 | 10.2k 2.0× | 2.1k 1.2× | 823 0.5× | 2.3k 1.5× | 395 0.4× | 101 | 12.2k | ||
| Arthur I. Skoultchi United States | 55 | 8.1k 1.6× | 719 0.4× | 1.5k 0.9× | 884 0.6× | 839 0.8× | 148 | 9.8k | ||
| John K. Cowell United States | 57 | 7.0k 1.3× | 578 0.3× | 1.9k 1.1× | 2.2k 1.4× | 401 0.4× | 302 | 11.3k | ||
| Katia Manova United States | 47 | 7.4k 1.4× | 583 0.3× | 1.7k 1.1× | 1.9k 1.2× | 424 0.4× | 79 | 10.7k | ||
| Denise Sheer United Kingdom | 51 | 6.0k 1.2× | 848 0.5× | 1.9k 1.2× | 2.1k 1.4× | 625 0.6× | 178 | 10.9k |
Countries citing papers authored by Anna Jauch
Since
Specialization
Citations
This map shows the geographic impact of Anna Jauch'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 Anna Jauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Jauch more than expected).
Fields of papers citing papers by Anna Jauch
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Anna Jauch. 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 Anna Jauch. The network helps show where Anna Jauch may publish in the future.
Co-authorship network of co-authors of Anna Jauch
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Jauch. A scholar is included among the top collaborators of Anna Jauch 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 Anna Jauch. Anna Jauch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Castven, Darko, David Ibberson, Carsten Sticht, et al.. (2023). Chromosome 8p engineering reveals increased metastatic potential targetable by patient-specific synthetic lethality in liver cancer. Science Advances. 9(51). eadh1442–eadh1442.
2.
Evers, Christina, et al.. (2023). Compilation of Genotype and Phenotype Data in GCDH-LOVD for Variant Classification and Further Application. Genes. 14(12). 2218–2218.
3.
Leypoldt, Lisa, Maria Gavriatopoulou, Britta Besemer, et al.. (2023). Daratumumab, Bortezomib, and Dexamethasone for Treatment of Patients with Relapsed or Refractory Multiple Myeloma and Severe Renal Impairment: Results from the Phase 2 GMMG-DANTE Trial. Cancers. 15(18). 4667–4667.
4.
Öztürk, Selcen, Irene Gil-Fariña, Anna Jauch, et al.. (2021). Longitudinal analyses of CLL in mice identify leukemia-related clonal changes including a Myc gain predicting poor outcome in patients. Leukemia. 36(2). 464–475.
5.
Kimmich, Christoph, Tobias Terzer, Axel Benner, et al.. (2020). Daratumumab for systemic AL amyloidosis: prognostic factors and adverse outcome with nephrotic-range albuminuria. Blood. 135(18). 1517–1530.
6.
Sommermann, Thomas, Tomoharu Yasuda, Jonathan Ronen, et al.. (2020). Functional interplay of Epstein-Barr virus oncoproteins in a mouse model of B cell lymphomagenesis. Proceedings of the National Academy of Sciences. 117(25). 14421–14432.
7.
Tarlykov, Pavel, Lee Siggens, Brigitte Schoell, et al.. (2018). Topokaryotyping demonstrates single cell variability and stress dependent variations in nuclear envelope associated domains. Nucleic Acids Research. 46(22). e135–e135.
8.
Seckinger, Anja, Jens Hillengaß, Martina Emde, et al.. (2018). CD38 as Immunotherapeutic Target in Light Chain Amyloidosis and Multiple Myeloma—Association With Molecular Entities, Risk, Survival, and Mechanisms of Upfront Resistance. Frontiers in Immunology. 9. 1676–1676.
9.
Lehners, Nicola, Umut H. Toprak, Jing Xu, et al.. (2017). Comprehensive Genomic Characterization of Refractory Multiple Myeloma Reveals a Complex Mutational and Structural Landscape Associated with Drug Resistance. Blood. 130. 266–266.
10.
Seckinger, Anja, Tobias Meißner, Jérôme Moreaux, et al.. (2015). miRNAs in multiple myeloma â a survival relevant complex regulator of gene expression. PubMed Central.
11.
Qin, Jie, Stephanie Sontag, Qiong Lin, et al.. (2014). Cell Fusion Enhances Mesendodermal Differentiation of Human Induced Pluripotent Stem Cells. Stem Cells and Development. 23(23). 2875–2882.
12.
Dikow, Nicola, Stephanie Karch, Martin Granzow, et al.. (2014). 3p25.3 microdeletion of GABA transporters SLC6A1 and SLC6A11 results in intellectual disability, epilepsy and stereotypic behavior. American Journal of Medical Genetics Part A. 164(12). 3061–3068.
13.
Bochtler, Tilmann, Friedrich Stölzel, Christoph E. Heilig, et al.. (2013). Clonal Heterogeneity As Detected by Metaphase Karyotyping Is an Indicator of Poor Prognosis in Acute Myeloid Leukemia. Journal of Clinical Oncology. 31(31). 3898–3905.
14.
Dikow, Nicola, Harald Gaspar, Martina Kreiß‐Nachtsheim, et al.. (2013). The phenotypic spectrum of duplication 5q35.2–q35.3 encompassing NSD1: Is it really a reversed sotos syndrome?. American Journal of Medical Genetics Part A. 161(9). 2158–2166.
15.
Moreaux, Jérôme, Bernard Klein, Régis Bataille, et al.. (2010). A high-risk signature for patients with multiple myeloma established from the molecular classification of human myeloma cell lines. Haematologica. 96(4). 574–582.
16.
Balbach, Sebastian T., et al.. (2007). Chromosome stability differs in cloned mouse embryos and derivative ES cells. Developmental Biology. 308(2). 309–321.
17.
Cremer, Friedrich W., Jelena Bila, Mutlu Kartal‐Kaess, et al.. (2005). Delineation of distinct subgroups of multiple myeloma and a model for clonal evolution based on interphase cytogenetics. Genes Chromosomes and Cancer. 44(2). 194–203.
18.
Cremer, Friedrich W., Mutlu Kartal‐Kaess, Dirk Hose, et al.. (2005). High incidence and intraclonal heterogeneity of chromosome 11 aberrations in patients with newly diagnosed multiple myeloma detected by multiprobe interphase FISH. Cancer Genetics and Cytogenetics. 161(2). 116–124.
19.
Popp, Susanne, et al.. (2004). Intratumoral Genomic Heterogeneity in Advanced Head and Neck Cancer Detected by Comparative Genomic Hybridization. Advances in oto-rhino-laryngology. 62. 38–48.
20.
Granzow, Martin, Susanne Popp, Monika Keller, et al.. (2000). Multiplex FISH telomere integrity assay identifies an unbalanced cryptic translocation der(5)t(3;5)(q27;p15.3) in a family with three mentally retarded individuals. Human Genetics. 107(1). 51–57.
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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