K H Scheidtmann

3.7k total citations
62 papers, 3.0k citations indexed

About

K H Scheidtmann is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, K H Scheidtmann has authored 62 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 24 papers in Oncology and 16 papers in Genetics. Recurrent topics in K H Scheidtmann's work include Polyomavirus and related diseases (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Bacteriophages and microbial interactions (14 papers). K H Scheidtmann is often cited by papers focused on Polyomavirus and related diseases (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Bacteriophages and microbial interactions (14 papers). K H Scheidtmann collaborates with scholars based in Germany, United States and Italy. K H Scheidtmann's co-authors include Gernot Walter, Donat Kögel, Thomas Grussenmeyer, Russell F. Doolittle, Andrew P. Laudano, Kathleen Rundell, Marc C. Mumby, Walter Eckhart, M A Hutchinson and Jochen H.M. Prehn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

K H Scheidtmann

61 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K H Scheidtmann Germany 34 1.9k 968 721 324 322 62 3.0k
Stephen M. Dilworth United Kingdom 31 2.4k 1.2× 920 1.0× 588 0.8× 340 1.0× 338 1.0× 47 3.5k
Susana de la Luna Spain 39 2.3k 1.2× 400 0.4× 651 0.9× 281 0.9× 84 0.3× 68 3.6k
Hans Weiher Germany 28 2.5k 1.3× 682 0.7× 934 1.3× 188 0.6× 146 0.5× 61 3.7k
Marc Vigneron France 28 2.7k 1.4× 481 0.5× 596 0.8× 163 0.5× 131 0.4× 64 3.6k
Anne‐Catherine Prats France 43 4.4k 2.3× 838 0.9× 551 0.8× 443 1.4× 74 0.2× 88 5.6k
Thérèse M.F. Tuohy United States 22 2.0k 1.1× 1.0k 1.0× 542 0.8× 221 0.7× 96 0.3× 41 3.8k
S Y Ng United States 22 2.9k 1.5× 574 0.6× 668 0.9× 424 1.3× 64 0.2× 34 4.0k
R F Gesteland United States 19 2.4k 1.2× 376 0.4× 764 1.1× 480 1.5× 222 0.7× 27 4.1k
Thomas J. McGarry United States 22 3.0k 1.6× 514 0.5× 322 0.4× 1.1k 3.4× 112 0.3× 46 4.2k
Heuiran Lee South Korea 26 1.0k 0.5× 628 0.6× 363 0.5× 169 0.5× 88 0.3× 108 2.7k

Countries citing papers authored by K H Scheidtmann

Since Specialization
Citations

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

Fields of papers citing papers by K H Scheidtmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K H Scheidtmann. 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 K H Scheidtmann. The network helps show where K H Scheidtmann may publish in the future.

Co-authorship network of co-authors of K H Scheidtmann

This figure shows the co-authorship network connecting the top 25 collaborators of K H Scheidtmann. A scholar is included among the top collaborators of K H Scheidtmann 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 K H Scheidtmann. K H Scheidtmann 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.
Rollnik, Jens D., M. Bertram, M. Jöbges, et al.. (2017). Outcome of neurological early rehabilitation patients carrying multi-drug resistant bacteria: results from a German multi-center study. BMC Neurology. 17(1). 53–53. 16 indexed citations
2.
Pohl, M., M. Bertram, M. Jöbges, et al.. (2016). Rehabilitationsverlauf von Patienten in der neurologisch-neurochirurgischen Frührehabilitation. Der Nervenarzt. 87(6). 634–644. 30 indexed citations
3.
Pohl, M., M. Bertram, M. Jöbges, et al.. (2016). Patientenklientel und Rehabilitationsverlauf in der neurologisch-neurochirurgischen Frührehabilitation – ein Vergleich der Jahre 2002 und 2014. Aktuelle Neurologie. 43(9). 534–540. 9 indexed citations
4.
Houben, Andreas, Dmitri Demidov, Twan Rutten, & K H Scheidtmann. (2005). Novel phosphorylation of histone H3 at threonine 11 that temporally correlates with condensation of mitotic and meiotic chromosomes in plant cells. Cytogenetic and Genome Research. 109(1-3). 148–155. 41 indexed citations
5.
Burgdorf, Sven, et al.. (2004). TSG101 Interacts with Apoptosis-antagonizing Transcription Factor and Enhances Androgen Receptor-mediated Transcription by Promoting Its Monoubiquitination. Journal of Biological Chemistry. 279(17). 17524–17534. 83 indexed citations
6.
Preuß, Ute, et al.. (2003). DAP-like kinase, a member of the death-associated protein kinase family, associates with centrosomes, centromers, and the contractile ring during mitosis. European Journal of Cell Biology. 82(9). 447–459. 15 indexed citations
7.
Kögel, Donat, et al.. (2002). The death associated protein (DAP) kinase homologue Dlk/ZIP kinase induces p19ARF- and p53-independent apoptosis. European Journal of Cancer. 39(2). 249–256. 16 indexed citations
8.
Kögel, Donat, et al.. (2002). Elucidation of Transcriptional Elements and the Genomic Structure of DAP‐like Kinase. Annals of the New York Academy of Sciences. 973(1). 363–367. 2 indexed citations
9.
Kögel, Donat, Jochen H.M. Prehn, & K H Scheidtmann. (2001). The DAP kinase family of pro‐apoptotic proteins: novel players in the apoptotic game. BioEssays. 23(4). 352–358. 90 indexed citations
10.
Zimprich, Alexander, Monika Grabowski, Friedrich Asmus, et al.. (2001). Mutations in the gene encoding ɛ-sarcoglycan cause myoclonus–dystonia syndrome. Nature Genetics. 29(1). 66–69. 309 indexed citations
11.
Preuß, Ute, et al.. (2001). Interaction of SV40 large T antigen with components of the nucleo/cytoskeleton. International Journal of Oncology. 19(6). 1325–32. 5 indexed citations
12.
Scheidtmann, K H, et al.. (2000). Familiäres Myoklonus-Dystonie-Syndrom assoziiert mit Panikattacken. Der Nervenarzt. 71(10). 839–842. 8 indexed citations
13.
Bayer, Thomas A., et al.. (1999). Increased oncogenicity of subclones of SV40 large T-induced neuroectodermal tumor cell lines after loss of large T expression and concomitant mutation in p53.. PubMed. 59(8). 1980–6. 26 indexed citations
14.
Lödige, Inga, et al.. (1999). AATF, a novel transcription factor that interacts with Dlk/ZIP kinase and interferes with apoptosis1. FEBS Letters. 462(1-2). 187–191. 69 indexed citations
15.
16.
Scheidtmann, K H, et al.. (1995). Phosphorylation Studies on Rat p53 Using the Baculovirus Expression System. European Journal of Biochemistry. 228(3). 625–639. 37 indexed citations
17.
Höss, A., Ismail Moarefi, K H Scheidtmann, et al.. (1990). Altered phosphorylation pattern of simian virus 40 T antigen expressed in insect cells by using a baculovirus vector. Journal of Virology. 64(10). 4799–4807. 79 indexed citations
18.
Klausing, Kay, Martin Scheffner, K H Scheidtmann, H. Stahl, & Rolf Knippers. (1989). DNA binding properties and replication activity of the T antigen related D2 phosphoprotein. Biochemistry. 28(5). 2238–2244. 11 indexed citations
19.
Scheidtmann, K H. (1989). SV40 Large T Antigen Induces a Protein Kinase Responsible for Phosphorylation of the Cellular Protein p53. Current topics in microbiology and immunology. 144. 85–88. 8 indexed citations
20.
Grässer, Friedrich A., K H Scheidtmann, Polygena T. Tuazon, Jolinda A. Traugh, & Gernot Walter. (1988). In Vitro phosphorylation of SV40 large T antigen. Virology. 165(1). 13–22. 91 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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