Norbert Drieschner

814 total citations
20 papers, 608 citations indexed

About

Norbert Drieschner is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology. According to data from OpenAlex, Norbert Drieschner has authored 20 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Obstetrics and Gynecology. Recurrent topics in Norbert Drieschner's work include Thyroid Cancer Diagnosis and Treatment (9 papers), Uterine Myomas and Treatments (4 papers) and RNA Research and Splicing (3 papers). Norbert Drieschner is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (9 papers), Uterine Myomas and Treatments (4 papers) and RNA Research and Splicing (3 papers). Norbert Drieschner collaborates with scholars based in Germany, United States and Netherlands. Norbert Drieschner's co-authors include Jörn Bullerdiek, Gazanfer Belge, Sabine Bartnitzke, Dominique Nadine Markowski, Burkhard Helmke, Volkhard Rippe, Thomas Löning, Rolf Nimzyk, Wolfgang Sendt and Klaus Junker and has published in prestigious journals such as PLoS ONE, Oncogene and International Journal of Cancer.

In The Last Decade

Norbert Drieschner

20 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norbert Drieschner Germany 12 238 219 206 131 121 20 608
Shen-Yi Li China 4 426 1.8× 336 1.5× 231 1.1× 35 0.3× 112 0.9× 8 788
Anna Berg Norway 16 256 1.1× 184 0.8× 287 1.4× 28 0.2× 150 1.2× 21 683
Henrica M.J. Werner Norway 13 431 1.8× 271 1.2× 171 0.8× 25 0.2× 120 1.0× 21 680
Linda Henry United Kingdom 6 65 0.3× 78 0.4× 123 0.6× 54 0.4× 108 0.9× 13 524
Haitham Arabi United States 12 152 0.6× 151 0.7× 135 0.7× 17 0.1× 142 1.2× 29 450
Donna Dunn United States 5 95 0.4× 98 0.4× 170 0.8× 36 0.3× 93 0.8× 5 494
Mary A. Mallon United States 9 82 0.3× 66 0.3× 410 2.0× 23 0.2× 116 1.0× 11 569
Liudmila Velikokhatnaya United States 6 83 0.3× 166 0.8× 113 0.5× 20 0.2× 76 0.6× 7 359
Loes Kooreman Netherlands 15 71 0.3× 90 0.4× 74 0.4× 22 0.2× 202 1.7× 52 558
Bingyi Yang China 15 357 1.5× 279 1.3× 102 0.5× 12 0.1× 63 0.5× 32 575

Countries citing papers authored by Norbert Drieschner

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Drieschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Drieschner

This figure shows the co-authorship network connecting the top 25 collaborators of Norbert Drieschner. A scholar is included among the top collaborators of Norbert Drieschner 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 Norbert Drieschner. Norbert Drieschner 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.
Homeyer, André, et al.. (2019). Automated density-based counting of FISH amplification signals for HER2 status assessment. Computer Methods and Programs in Biomedicine. 173. 77–85. 13 indexed citations
2.
Eszlinger, Markus, Annelise Krogdahl, Carolina Ferraz, et al.. (2013). Impact of Molecular Screening for Point Mutations and Rearrangements in Routine Air-Dried Fine-Needle Aspiration Samples of Thyroid Nodules. Thyroid. 24(2). 305–313. 80 indexed citations
3.
Müller, Marietta, et al.. (2013). HMGA2 expression in the PC-3 prostate cancer cell line is autonomous of growth factor stimulation.. PubMed. 33(8). 3069–78. 4 indexed citations
4.
Rippe, Volkhard, et al.. (2012). Activation of the two microRNA clusters C19MC and miR-371-3 does not play prominent role in thyroid cancer. Molecular Cytogenetics. 5(1). 40–40. 7 indexed citations
5.
Sendt, Wolfgang, Volkhard Rippe, Inga Flor, Norbert Drieschner, & Jörn Bullerdiek. (2012). Monosomy and ring chromosome 13 in a thyroid nodular goiter—do we underestimate its relevance in benign thyroid lesions?. Cancer Genetics. 205(3). 128–130. 2 indexed citations
6.
Markowski, Dominique Nadine, Sabine Bartnitzke, Thomas Löning, et al.. (2012). MED12 mutations in uterine fibroids—their relationship to cytogenetic subgroups. International Journal of Cancer. 131(7). 1528–1536. 167 indexed citations
7.
Belge, Gazanfer, Siegfried Loeschke, Werner Wosniok, et al.. (2011). Decrease in thyroid adenoma associated (THADA) expression is a marker of dedifferentiation of thyroid tissue. BMC Clinical Pathology. 11(1). 13–13. 9 indexed citations
8.
9.
Drieschner, Norbert, et al.. (2011). Detection of PAX8–PPARG fusion transcripts in archival thyroid carcinoma samples by conventional RT‐PCR. Genes Chromosomes and Cancer. 51(4). 402–408. 10 indexed citations
10.
Drieschner, Norbert, et al.. (2011). On the prevalence of the PAX8-PPARG fusion resulting from the chromosomal translocation t(2;3)(q13;p25) in adenomas of the thyroid. Cancer Genetics. 204(6). 334–339. 12 indexed citations
11.
Markowski, Dominique Nadine, Sabine Bartnitzke, Gazanfer Belge, et al.. (2010). Cell culture and senescence in uterine fibroids. Cancer Genetics and Cytogenetics. 202(1). 53–57. 14 indexed citations
12.
Drieschner, Norbert, et al.. (2010). 6p21 rearrangements in uterine leiomyomas targeting HMGA1. Cancer Genetics and Cytogenetics. 203(2). 247–252. 29 indexed citations
13.
Rippe, Volkhard, Verena Lorenz, Norbert Drieschner, et al.. (2010). The Two Stem Cell MicroRNA Gene Clusters C19MC and miR-371-3 Are Activated by Specific Chromosomal Rearrangements in a Subgroup of Thyroid Adenomas. PLoS ONE. 5(3). e9485–e9485. 87 indexed citations
14.
Meyer, Anke, et al.. (2008). Overexpression of HMGA2 in uterine leiomyomas points to its general role for the pathogenesis of the disease. Genes Chromosomes and Cancer. 48(2). 171–178. 56 indexed citations
15.
16.
Drieschner, Norbert, et al.. (2006). Evidence for a 3p25 Breakpoint Hot Spot Region in Thyroid Tumors of Follicular Origin. Thyroid. 16(11). 1091–1096. 17 indexed citations
17.
Rippe, Volkhard, Norbert Drieschner, Hugo Murua Escobar, et al.. (2003). Identification of a gene rearranged by 2p21 aberrations in thyroid adenomas. Oncogene. 22(38). 6111–6114. 50 indexed citations
18.
Rogalla, Piere, et al.. (2002). Molecular-cytogenetic analysis of fragmentation of chromosome 17 in the breast cancer cell line EFM-19.. PubMed. 22(4). 1987–92. 3 indexed citations
19.
Rogalla, P., et al.. (2001). Intragenic breakpoint within RAD51L1 in a t(6;14)(p21.3;q24) of a pulmonary chondroid hamartoma. Cytogenetic and Genome Research. 95(1-2). 17–19. 10 indexed citations
20.
Belge, Gazanfer, et al.. (2001). Delineation of a 150-kb breakpoint cluster in benign thyroid tumors with 19q13.4 aberrations. Cytogenetic and Genome Research. 93(1-2). 48–51. 14 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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