Hans‐Jürgen Thiesen

5.8k total citations · 1 hit paper
109 papers, 4.6k citations indexed

About

Hans‐Jürgen Thiesen is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Hans‐Jürgen Thiesen has authored 109 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 22 papers in Immunology and 17 papers in Oncology. Recurrent topics in Hans‐Jürgen Thiesen's work include Monoclonal and Polyclonal Antibodies Research (17 papers), RNA Research and Splicing (15 papers) and Genomics and Chromatin Dynamics (14 papers). Hans‐Jürgen Thiesen is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (17 papers), RNA Research and Splicing (15 papers) and Genomics and Chromatin Dynamics (14 papers). Hans‐Jürgen Thiesen collaborates with scholars based in Germany, Switzerland and United States. Hans‐Jürgen Thiesen's co-authors include Dirk Koczan, Wolfram Meyer, Christian Bach, Henrik Vissing, Peter Lorenz, F. J. Rauscher, Joshua R. Friedman, Michael O. Glocker, Judith Margolin and Ulrich Deuschle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Hans‐Jürgen Thiesen

109 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Krüppel-associated boxes are potent transcriptional repression domains.

1994 516 citations Hans‐Jürgen Thiesen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hans‐Jürgen Thiesen Germany	35	3.0k	842	753	604	559	109	4.6k
Sunil Nagpal United States	38	2.5k 0.8×	1.0k 1.2×	588 0.8×	1.2k 2.0×	418 0.7×	87	4.2k
Xiaotian Chang China	34	1.9k 0.6×	798 0.9×	649 0.9×	963 1.6×	525 0.9×	99	4.4k
Madelon M. Maurice Netherlands	40	4.6k 1.5×	1.1k 1.3×	1.8k 2.4×	773 1.3×	630 1.1×	73	6.6k
Nick Totty United Kingdom	29	4.3k 1.4×	1.1k 1.4×	851 1.1×	312 0.5×	571 1.0×	39	6.1k
Luika Timmerman United States	19	3.0k 1.0×	1.5k 1.8×	756 1.0×	524 0.9×	1.0k 1.9×	26	4.9k
Ana C. Carrera Spain	42	3.3k 1.1×	1.6k 1.9×	1.1k 1.4×	256 0.4×	509 0.9×	96	5.4k
Hidemi Teramoto United States	26	3.9k 1.3×	781 0.9×	1.0k 1.4×	426 0.7×	823 1.5×	38	6.3k
Kris A. Reedquist Netherlands	43	2.9k 1.0×	2.1k 2.5×	1.1k 1.5×	254 0.4×	508 0.9×	91	5.6k
Gregory Hollis United States	36	2.7k 0.9×	996 1.2×	1.0k 1.4×	548 0.9×	369 0.7×	101	5.1k
Gary R. Fanger United States	31	2.5k 0.8×	599 0.7×	954 1.3×	342 0.6×	769 1.4×	55	4.0k

Countries citing papers authored by Hans‐Jürgen Thiesen

Since Specialization

Citations

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

Fields of papers citing papers by Hans‐Jürgen Thiesen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Jürgen 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 Hans‐Jürgen Thiesen. The network helps show where Hans‐Jürgen Thiesen may publish in the future.

Co-authorship network of co-authors of Hans‐Jürgen Thiesen

This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Jürgen Thiesen. A scholar is included among the top collaborators of Hans‐Jürgen 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 Hans‐Jürgen Thiesen. Hans‐Jürgen Thiesen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Koy, Cornelia, et al.. (2022). Epitope Fine Mapping by Mass Spectrometry: Investigations of Immune Complexes Consisting of Monoclonal Anti‐HpTGEKP Antibody and Zinc Finger Protein Linker Phospho‐Hexapeptides. ChemBioChem. 23(20). e202200390–e202200390. 8 indexed citations

Hecker, Michael, Dirk Koczan, Brit Fitzner, et al.. (2018). Transcriptome profiling of peripheral blood immune cell populations in multiple sclerosis patients before and during treatment with a sphingosine‐1‐phosphate receptor modulator. CNS Neuroscience & Therapeutics. 24(3). 193–201. 19 indexed citations

Hecker, Michael, Dirk Koczan, Brit Fitzner, et al.. (2016). High-Resolution Expression Profiling of Peripheral Blood CD8+ Cells in Patients with Multiple Sclerosis Displays Fingolimod-Induced Immune Cell Redistribution. Molecular Neurobiology. 54(7). 5511–5525. 15 indexed citations

He, Ying, Zhonghao Yu, Rui Wang‐Sattler, et al.. (2012). Cell type specificity of signaling: view from membrane receptors distribution and their downstream transduction networks. Protein & Cell. 3(9). 701–713. 5 indexed citations

El‐Kased, Reham F., Cornelia Koy, Peter Lorenz, et al.. (2009). Mass Spectrometric and Peptide Chip Epitope Mapping of Rheumatoid Arthritis Autoantigen RA33. European Journal of Mass Spectrometry. 15(6). 747–761. 21 indexed citations

Pohlers, Dirk, Andreas Beyer, Dirk Koczan, et al.. (2007). Constitutive upregulation of the transforming growth factor-β pathway in rheumatoid arthritis synovial fibroblasts. Arthritis Research & Therapy. 9(3). R59–R59. 105 indexed citations

Blank, Michael, Liat Anafi, Gisele Zandman‐Goddard, et al.. (2007). The efficacy of specific IVIG anti-idiotypic antibodies in antiphospholipid syndrome (APS): trophoblast invasiveness and APS animal model. International Immunology. 19(7). 857–865. 65 indexed citations

Yu, Xinhua, Kristin Bauer, Patrik Wernhoff, et al.. (2006). Fine Mapping of Collagen-Induced Arthritis Quantitative Trait Loci in an Advanced Intercross Line. The Journal of Immunology. 177(10). 7042–7049. 24 indexed citations

Sparmann, Gisela, Änne Glass, Peter Brock, et al.. (2005). Inhibition of lymphocyte apoptosis by pancreatic stellate cells: impact of interleukin-15. American Journal of Physiology-Gastrointestinal and Liver Physiology. 289(5). G842–G851. 23 indexed citations

10.

Pahnke, Jens, Eilhard Mix, Rupert Knoblich, et al.. (2004). Overexpression of glial cell line-derived neurotrophic factor induces genes regulating migration and differentiation of neuronal progenitor cells. Experimental Cell Research. 297(2). 484–494. 49 indexed citations

11.

Ibrahim, Saleh, Gudrun A. Brockmann, Jens Pahnke, et al.. (2003). Expressionview: visualization of quantitative trait loci and gene-expression data in Ensembl. Genome biology. 4(11). R77–R77. 18 indexed citations

12.

Lorenz, Peter, Marcus Bantscheff, Saleh Ibrahim, Hans‐Jürgen Thiesen, & Michael O. Glocker. (2003). Proteome Analysis of Diseased Joints from Mice Suffering from Collagen-Induced Arthritis. Clinical Chemistry and Laboratory Medicine (CCLM). 41(12). 1622–32. 25 indexed citations

13.

Berlau, J., Peter Lorenz, Josef Makovitzky, et al.. (2001). Analysis of aqueous humour proteins of eyes with and without pseudoexfoliation syndrome. Graefe s Archive for Clinical and Experimental Ophthalmology. 239(10). 743–746. 30 indexed citations

14.

Moosmann, Peter, Oleg Georgiev, Hans‐Jürgen Thiesen, Michael Hagmann, & Walter Schaffner. (1997). Silencing of RNA Polymerases II and III-Dependent Transcription by the KRAB Protein Domain of KOX1, a Krüppel-Type Zinc Finger Factor. Biological Chemistry. 378(7). 669–77. 77 indexed citations

15.

Cannizzaro, Linda A., M.M. Aronson, & Hans‐Jürgen Thiesen. (1993). Human zinc finger gene ZNF23 (Kox16) maps to a zinc finger gene cluster on chromosome 16q22, and ZNF32 (Kox30) to chromosome region 10q23-?q24. Human Genetics. 91(4). 383–5. 17 indexed citations

16.

Huebner, Kay, Teresa Druck, Carlo M. Croce, & Hans‐Jürgen Thiesen. (1991). Twenty-seven nonoverlapping zinc finger cDNAs from human T cells map to nine different chromosomes with apparent clustering.. PubMed. 48(4). 726–40. 66 indexed citations

17.

Rousseau-Merck, M.F., Kay Huebner, Roland Berger, & Hans‐Jürgen Thiesen. (1991). Chromosomal localization of two human zinc finger protein genes, ZNF24 (KOX17) and ZNF29 (KOX26), to 18q12 and 17p13–p12, respectively. Genomics. 9(1). 154–161. 30 indexed citations

18.

Thiesen, Hans‐Jürgen & Christian Bach. (1991). Transition metals modulate DNA-protein interactions of SP1 zinc finger domains with its cognate target site. Biochemical and Biophysical Research Communications. 176(2). 551–557. 67 indexed citations

19.

Thiesen, Hans‐Jürgen, Hartmut Juhl, & Rüdiger Arndt. (1987). Selective killing of human bladder cancer cells by combined treatment with A and B chain ricin antibody conjugates.. PubMed. 47(2). 419–23. 24 indexed citations

20.

Thiesen, Hans‐Jürgen, et al.. (1952). �ber die elektrokardiographische Diagnostik der orthostatischen Kreislaufregulationsst�rung im Extremit�ten- und Brustwand-EKG. Journal of Molecular Medicine. 30(31-32). 737–740. 2 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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