Thomas Herget

3.3k total citations
59 papers, 2.7k citations indexed

About

Thomas Herget is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Thomas Herget has authored 59 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 8 papers in Cell Biology and 7 papers in Epidemiology. Recurrent topics in Thomas Herget's work include Protein Kinase Regulation and GTPase Signaling (13 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and RNA Research and Splicing (5 papers). Thomas Herget is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (13 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and RNA Research and Splicing (5 papers). Thomas Herget collaborates with scholars based in Germany, United Kingdom and United States. Thomas Herget's co-authors include Enrique Rozengurt, Bert Klebl, Axel Ullrich, Anil Koul, Gerhild van Echten‐Deckert, Susan F. Brooks, Peter Schreier, Simon Broad, Alfred Maelicke and Peter J. Parker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Thomas Herget

58 papers receiving 2.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Herget 1.7k 303 299 293 275 59 2.7k
Peter Chase 1.2k 0.7× 214 0.7× 166 0.6× 151 0.5× 224 0.8× 68 2.0k
Vinay Choubey 1.2k 0.7× 263 0.9× 461 1.5× 368 1.3× 133 0.5× 38 2.3k
Karen L. Leach 2.5k 1.4× 317 1.0× 134 0.4× 298 1.0× 149 0.5× 54 3.6k
Ricardo M. Biondi 3.4k 1.9× 229 0.8× 179 0.6× 172 0.6× 276 1.0× 79 4.1k
Philippe Delcourt 1.3k 0.7× 389 1.3× 158 0.5× 119 0.4× 325 1.2× 40 2.4k
Laurent Désaubry 1.8k 1.1× 170 0.6× 288 1.0× 178 0.6× 611 2.2× 90 3.2k
Tony Taldone 3.0k 1.7× 280 0.9× 196 0.7× 232 0.8× 226 0.8× 65 3.9k
Roger A. Johnson 1.9k 1.1× 403 1.3× 105 0.4× 307 1.0× 216 0.8× 76 2.6k
Mario A. Pagano 1.9k 1.1× 148 0.5× 136 0.5× 152 0.5× 316 1.1× 70 2.8k
Junko Ishida 1.6k 0.9× 203 0.7× 143 0.5× 303 1.0× 147 0.5× 20 3.6k

Countries citing papers authored by Thomas Herget

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Herget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Herget

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Herget. A scholar is included among the top collaborators of Thomas Herget 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 Thomas Herget. Thomas Herget 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.
Hu, Pengwei, et al.. (2025). CLORG: A contrastive learning-based framework for morphological representation and classification of organoids. Array. 27. 100446–100446. 1 indexed citations
2.
Su, Xiaorui, Pengwei Hu, Dongxu Li, et al.. (2025). Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning. Nature Biomedical Engineering. 9(3). 371–389. 17 indexed citations
3.
Poetz, Oliver, et al.. (2010). Sequential Multiplex Analyte Capturing for Phosphoprotein Profiling. Molecular & Cellular Proteomics. 9(11). 2474–2481. 23 indexed citations
4.
Hoffmann, Dana, T Fuchs, Katja Matheis, et al.. (2010). Evaluation of a urinary kidney biomarker panel in rat models of acute and subchronic nephrotoxicity. Toxicology. 277(1-3). 49–58. 147 indexed citations
5.
Poetz, Oliver, et al.. (2009). Microsphere-based co-immunoprecipitation in multiplex. Analytical Biochemistry. 395(2). 244–248. 17 indexed citations
6.
Echten‐Deckert, Gerhild van & Thomas Herget. (2006). Sphingolipid metabolism in neural cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1758(12). 1978–1994. 118 indexed citations
7.
Herget, Thomas, et al.. (2004). Expression of Gastrointestinal Glutathione Peroxidase Is Inversely Correlated to the Presence of Hepatitis C Virus Subgenomic RNA in Human Liver Cells. Journal of Biological Chemistry. 280(10). 8831–8841. 40 indexed citations
8.
Koul, Anil, Thomas Herget, Bert Klebl, & Axel Ullrich. (2004). Interplay between mycobacteria and host signalling pathways. Nature Reviews Microbiology. 2(3). 189–202. 304 indexed citations
9.
Brenner, Walburgis, Gloria Färber, Thomas Herget, et al.. (2002). Loss of tumor suppressor protein PTEN during renal carcinogenesis. International Journal of Cancer. 99(1). 53–57. 108 indexed citations
10.
11.
Wieser, Raimund, et al.. (2001). Involvement of protein kinase Cδ in contact-dependent inhibition of growth in human and murine fibroblasts. Oncogene. 20(37). 5143–5154. 30 indexed citations
12.
Griebenow, Nils, et al.. (2000). Solid-Phase Synthesis and Biological Evaluation of a Teleocidin Library—Discovery of a Selective PKC Down Regulator. Chemistry - A European Journal. 6(21). 3943–3957. 45 indexed citations
13.
Esdar, Christina, et al.. (1999). The protein kinase C (PKC) substrate GAP‐43 is already expressed in neural precursor cells, colocalizes with PKCη and binds calmodulin. European Journal of Neuroscience. 11(2). 503–516. 27 indexed citations
14.
Li, Huige, Thomas Wallerath, Irmgard Ihrig‐Biedert, et al.. (1998). Activation of Protein Kinase Cα and/or ε Enhances Transcription of the Human Endothelial Nitric Oxide Synthase Gene. Molecular Pharmacology. 53(4). 630–637. 133 indexed citations
15.
Palmer, Ruth H., et al.. (1996). p42 MAPK phosphorylates 80 kDa MARCKS at Ser‐113. FEBS Letters. 395(1). 1–5. 23 indexed citations
16.
Herget, Thomas, et al.. (1996). In vitro activation and substrates of recombinant, baculovirus expressed human protein kinase Cμ. FEBS Letters. 381(3). 183–187. 69 indexed citations
17.
Herget, Thomas & Enrique Rozengurt. (1994). Bombesin, endothelin and platelet‐derived growth factor induce rapid translocation of the myristoylated alanine‐rich C‐kinase substrate in Swiss 3T3 cells. European Journal of Biochemistry. 225(2). 539–548. 24 indexed citations
18.
Herget, Thomas, Simon Broad, & Enrique Rozengurt. (1994). Overexpression of the myristoylated alanine‐rich C‐kinase substrate in Rat1 cells increases sensitivity to calmodulin antagonists. European Journal of Biochemistry. 225(2). 549–556. 24 indexed citations
19.
Herget, Thomas, Susan F. Brooks, Simon Broad, & Enrique Rozengurt. (1992). Relationship between the major protein kinase C substrates acidic 80‐kDa protein‐kinase‐C substrate (80K) and myristoylated alanine‐rich C‐kinase substrate (MARCKS). European Journal of Biochemistry. 209(1). 7–14. 19 indexed citations
20.
Xie, Yaxia, Thomas Herget, Joachim Hallmayer, Anna Starzinski‐Powitz, & K.‐A. Hossmann. (1989). Determination of RNA content in postischemic gerbil brain byin situ hybridization. Metabolic Brain Disease. 4(4). 239–251. 28 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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