H.-J. Thiesen

628 total citations
20 papers, 500 citations indexed

About

H.-J. Thiesen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, H.-J. Thiesen has authored 20 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in H.-J. Thiesen's work include Renal and related cancers (4 papers), Genomics and Chromatin Dynamics (3 papers) and Cancer-related molecular mechanisms research (2 papers). H.-J. Thiesen is often cited by papers focused on Renal and related cancers (4 papers), Genomics and Chromatin Dynamics (3 papers) and Cancer-related molecular mechanisms research (2 papers). H.-J. Thiesen collaborates with scholars based in Germany, United States and Croatia. H.-J. Thiesen's co-authors include Dirk Koczan, M.F. Rousseau-Merck, Roland Berger, Saleh Ibrahim, Patricia Ruíz, Veit Krenn, J. Neidel, Ute Ungethuem, Henning Witt and J. Zacher and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Neurology.

In The Last Decade

H.-J. Thiesen

19 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H.-J. Thiesen Germany 13 274 118 86 84 69 20 500
Xiangning Qiu China 9 415 1.5× 138 1.2× 227 2.6× 64 0.8× 81 1.2× 24 700
Yong Shao China 11 153 0.6× 40 0.3× 97 1.1× 89 1.1× 24 0.3× 28 362
Jubilee B. Robinson United States 8 194 0.7× 34 0.3× 81 0.9× 147 1.8× 29 0.4× 10 563
Debbie Roeleveld Netherlands 9 183 0.7× 115 1.0× 146 1.7× 67 0.8× 68 1.0× 15 422
Éva Pócsik Hungary 13 166 0.6× 114 1.0× 344 4.0× 158 1.9× 39 0.6× 30 612
Meegan Howlett Australia 14 265 1.0× 24 0.2× 213 2.5× 282 3.4× 49 0.7× 24 720
Claudia Gemelli Italy 18 289 1.1× 31 0.3× 143 1.7× 114 1.4× 33 0.5× 24 561
Kazue Tsuji‐Takayama Japan 14 331 1.2× 38 0.3× 363 4.2× 113 1.3× 35 0.5× 26 666
Deborah Cluxton Ireland 5 101 0.4× 69 0.6× 284 3.3× 60 0.7× 30 0.4× 5 438

Countries citing papers authored by H.-J. Thiesen

Since Specialization
Citations

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

Fields of papers citing papers by H.-J. Thiesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.-J. Thiesen. 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 H.-J. Thiesen. The network helps show where H.-J. Thiesen may publish in the future.

Co-authorship network of co-authors of H.-J. Thiesen

This figure shows the co-authorship network connecting the top 25 collaborators of H.-J. Thiesen. A scholar is included among the top collaborators of H.-J. Thiesen 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 H.-J. Thiesen. H.-J. Thiesen 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.
Sol, Antonio del, H.-J. Thiesen, Jaime Imitola, & Rafael E. Carazo‐Salas. (2017). Big-Data-Driven Stem Cell Science and Tissue Engineering: Vision and Unique Opportunities. Cell stem cell. 20(2). 157–160. 20 indexed citations
2.
Thiesen, H.-J., et al.. (2017). Stratification of clear cell renal cell carcinoma (ccRCC) genomes by gene-directed copy number alteration (CNA) analysis. PLoS ONE. 12(5). e0176659–e0176659. 12 indexed citations
3.
Pecks, Ulrich, et al.. (2013). Oxidatively modified LDL particles in the human placenta in early and late onset intrauterine growth restriction. Placenta. 34(12). 1142–1149. 20 indexed citations
4.
Paap, Brigitte Katrin, et al.. (2012). Analysis of Predictive Biomarkers for Estimation of MS Patients' Long-Term IFN-  Therapy Outcome (S31.001). Neurology. 78(Meeting Abstracts 1). S31.001–S31.001. 1 indexed citations
5.
Maruschke, Matthias, Dirk Koczan, Daniel A. Reuter, et al.. (2011). Putative Biomarker Genes for Grading Clear Cell Renal Cell Carcinoma. Urologia Internationalis. 87(2). 205–217. 9 indexed citations
6.
Ungethuem, Ute, Henning Witt, Dirk Koczan, et al.. (2010). Molecular signatures and new candidates to target the pathogenesis of rheumatoid arthritis. Physiological Genomics. 42A(4). 267–282. 111 indexed citations
7.
Bos, Carina L., Lisa G. M. van Baarsen, Trieneke C. G. Timmer, et al.. (2009). Molecular subtypes of systemic sclerosis in association with anti-centromere antibodies and digital ulcers. Genes and Immunity. 10(3). 210–218. 36 indexed citations
8.
Li, Yun, Pei Hao, Siyuan Zheng, et al.. (2008). Gene expression module-based chemical function similarity search. Nucleic Acids Research. 36(20). e137–e137. 21 indexed citations
9.
Ding, Guolian, Peter Lorenz, Michael Kreutzer, Yuxin Li, & H.-J. Thiesen. (2008). SysZNF: the C2H2 zinc finger gene database. Nucleic Acids Research. 37(Database). D267–D273. 31 indexed citations
10.
Kunz, Manfred, Saleh Ibrahim, Dirk Koczan, et al.. (2004). DNA microarray technology and its applications in dermatology. Experimental Dermatology. 13(10). 593–606. 32 indexed citations
11.
Aidinis, Vassilis, David Plows, Sylva Haralambous, et al.. (2003). Functional analysis of an arthritogenic synovial fibroblast. Arthritis Research & Therapy. 5(3). R140–57. 39 indexed citations
12.
Böttcher, Tobias, Dirk Koczan, Peter Bauer, et al.. (2003). Gene expression profiling of CNTF-overexpressing rat striatal progenitor cells (ST14A) indicates improved stress-response during early stage of differentiation. 2 indexed citations
13.
Kunz, Manfred, et al.. (2002). Differential Expression of Thrombospondin 2 in Primary and Metastatic Malignant Melanoma. Acta Dermato Venereologica. 82(3). 163–169. 12 indexed citations
14.
Benz, Stefan, Marian Löbler, Robert Obermaier, et al.. (2002). New possible taget genes in pancreatic ischemia/reperfusion-injury identified by microarray analysis. Transplantation Proceedings. 34(6). 2369–2371. 7 indexed citations
15.
Reimer, Toralf, Dirk Koczan, H. Müller, et al.. (2000). Human chorionic gonadotrophin-beta transcripts correlate with progesterone receptor values in breast carcinomas. Journal of Molecular Endocrinology. 24(1). 33–41. 15 indexed citations
16.
Reimer, Toralf, Dirk Koczan, Volker Briese, et al.. (2000). Absolute Quantification of Human Chorionic Gonadotropin-Beta mRNA with TaqMan Detection. Molecular Biotechnology. 14(1). 47–58. 22 indexed citations
17.
Ringel, Bruno, Saleh Ibrahim, H. Köhler, et al.. (1999). Apoptotic Molecules in Pancreatic Carcinoma Cell Lines. Annals of the New York Academy of Sciences. 880(1). 175–178. 4 indexed citations
18.
Rousseau-Merck, M.F., Alan Tunnacliffe, Roland Berger, B. A. J. Ponder, & H.-J. Thiesen. (1992). A cluster of expressed zinc finger protein genes in the pericentromeric region of human chromosome 10. Genomics. 13(3). 845–848. 25 indexed citations
19.
Seité, Paule, K Huebner, M.F. Rousseau-Merck, Roland Berger, & H.-J. Thiesen. (1991). Two human genes encoding zinc finger proteins, ZNF12 (KOX 3) and ZNF 26 (KOX 20), map to chromosomes 7p22-p21 and 12q24.33, respectively. Human Genetics. 86(6). 585–90. 14 indexed citations
20.
Thiesen, H.-J.. (1990). Multiple genes encoding zinc finger domains are expressed in human T cells.. PubMed. 2(4). 363–74. 67 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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