Tobias Kockmann

858 total citations
26 papers, 548 citations indexed

About

Tobias Kockmann is a scholar working on Molecular Biology, Spectroscopy and Insect Science. According to data from OpenAlex, Tobias Kockmann has authored 26 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Spectroscopy and 4 papers in Insect Science. Recurrent topics in Tobias Kockmann's work include Metabolomics and Mass Spectrometry Studies (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mollusks and Parasites Studies (4 papers). Tobias Kockmann is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mollusks and Parasites Studies (4 papers). Tobias Kockmann collaborates with scholars based in Switzerland, Austria and United Kingdom. Tobias Kockmann's co-authors include Ulrich auf dem Keller, Christian Panse, Fabio Sabino, Jayachandran N. Kizhakkedathu, Jonas Grossmann, Christian Beisel, Sabine Werner, Lucienne Tritten, Adrian B. Hehl and Dominique Soldati‐Favre and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tobias Kockmann

26 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tobias Kockmann Switzerland 17 280 101 59 55 53 26 548
Je‐Hyun Baek South Korea 15 401 1.4× 45 0.4× 8 0.1× 41 0.7× 58 1.1× 36 592
Wannes D’Hertog Belgium 15 273 1.0× 37 0.4× 9 0.2× 50 0.9× 38 0.7× 23 765
Evan A. Yost United States 8 386 1.4× 10 0.1× 44 0.7× 39 0.7× 75 1.4× 11 751
Thomas Ebel Austria 9 140 0.5× 11 0.1× 36 0.6× 45 0.8× 22 0.4× 15 395
Conrad von Schubert Switzerland 12 411 1.5× 32 0.3× 70 1.2× 27 0.5× 42 0.8× 15 643
Vikram Narayan United Kingdom 13 274 1.0× 15 0.1× 3 0.1× 32 0.6× 41 0.8× 17 626
Rachel K. Rosenstein United States 8 462 1.6× 7 0.1× 29 0.5× 37 0.7× 9 0.2× 18 1.0k
Vita Levina Australia 8 226 0.8× 30 0.3× 11 0.2× 84 1.5× 52 1.0× 12 629
H. Götz Germany 14 388 1.4× 41 0.4× 15 0.3× 110 2.0× 15 0.3× 80 729
Ronald W. Raab United States 16 605 2.2× 7 0.1× 21 0.4× 56 1.0× 27 0.5× 28 1.1k

Countries citing papers authored by Tobias Kockmann

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Kockmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Kockmann

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Kockmann. A scholar is included among the top collaborators of Tobias Kockmann 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 Tobias Kockmann. Tobias Kockmann 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.
2.
Dogga, Sunil Kumar, Matteo Lunghi, Bohumil Maco, et al.. (2022). Importance of aspartyl protease 5 in the establishment of the intracellular niche during acute and chronic infection of Toxoplasma gondii. Molecular Microbiology. 118(6). 601–622. 5 indexed citations
3.
Kockmann, Tobias, Elke Rodríguez, Ulrike Wehkamp, et al.. (2022). Quantitative Proteomics Identifies Reduced NRF2 Activity and Mitochondrial Dysfunction in Atopic Dermatitis. Journal of Investigative Dermatology. 143(2). 220–231.e7. 22 indexed citations
4.
Pfister, Barbara, et al.. (2022). Tuning heterologous glucan biosynthesis in yeast to understand and exploit plant starch diversity. BMC Biology. 20(1). 207–207. 6 indexed citations
5.
Ziegler, Lukas von, Amalia Floriou‐Servou, Oliver Sturman, et al.. (2022). Multiomic profiling of the acute stress response in the mouse hippocampus. Nature Communications. 13(1). 1824–1824. 43 indexed citations
6.
Schmidt, Tobias, Patroklos Samaras, Viktoria Dorfer, et al.. (2021). Universal Spectrum Explorer: A Standalone (Web-)Application for Cross-Resource Spectrum Comparison. Journal of Proteome Research. 20(6). 3388–3394. 21 indexed citations
7.
Kockmann, Tobias & Christian Panse. (2021). The rawrr R Package: Direct Access to Orbitrap Data and Beyond. Journal of Proteome Research. 20(4). 2028–2034. 21 indexed citations
8.
9.
Kockmann, Tobias, et al.. (2021). The Angiostrongylus vasorum Excretory/Secretory and Surface Proteome Contains Putative Modulators of the Host Coagulation. Frontiers in Cellular and Infection Microbiology. 11. 753320–753320. 14 indexed citations
10.
Steffen, Philipp A., Sini Junttila, Attila Gyenesei, et al.. (2021). The Trithorax group protein ASH1 requires a combination of BAH domain and AT hooks, but not the SET domain, for mitotic chromatin binding and survival. Chromosoma. 130(2-3). 215–234. 2 indexed citations
11.
Gegenschatz‐Schmid, Katharina, Jonas Grossmann, Tobias Kockmann, et al.. (2021). Comprehensive quantitative characterization of the human term amnion proteome. SHILAP Revista de lepidopterología. 12. 100084–100084. 9 indexed citations
12.
Grossi, Serena, Gabriele Fenini, Tobias Kockmann, et al.. (2019). Inactivation of the Cytoprotective Major Vault Protein by Caspase-1 and -9 in Epithelial Cells during Apoptosis. Journal of Investigative Dermatology. 140(7). 1335–1345.e10. 23 indexed citations
13.
Trachsel, Christian, Christian Panse, Tobias Kockmann, et al.. (2018). rawDiag: An R Package Supporting Rational LC–MS Method Optimization for Bottom-up Proteomics. Journal of Proteome Research. 17(8). 2908–2914. 25 indexed citations
14.
Seltmann, Kristin, Michaël Meyer, Tobias Kockmann, et al.. (2018). Humidity-regulated CLCA2 protects the epidermis from hyperosmotic stress. Science Translational Medicine. 10(440). 24 indexed citations
15.
Speicher, Tobias, Roman L. Bogorad, Friederike Böhm, et al.. (2017). Large-Scale Quantitative Proteomics Identifies the Ubiquitin Ligase Nedd4-1 as an Essential Regulator of Liver Regeneration. Developmental Cell. 42(6). 616–625.e8. 23 indexed citations
16.
Kockmann, Tobias, Christian Trachsel, Christian Panse, et al.. (2016). Targeted proteomics coming of age – SRM, PRM and DIA performance evaluated from a core facility perspective. PROTEOMICS. 16(15-16). 2183–2192. 29 indexed citations
17.
Kockmann, Tobias, et al.. (2015). Matrix Metalloproteinase 10 Degradomics in Keratinocytes and Epidermal Tissue Identifies Bioactive Substrates With Pleiotropic Functions*. Molecular & Cellular Proteomics. 14(12). 3234–3246. 32 indexed citations
18.
Sabino, Fabio, et al.. (2014). In Vivo Assessment of Protease Dynamics in Cutaneous Wound Healing by Degradomics Analysis of Porcine Wound Exudates. Molecular & Cellular Proteomics. 14(2). 354–370. 48 indexed citations
19.
Steffen, Philipp A., et al.. (2013). Quantitative in vivo analysis of chromatin binding of Polycomb and Trithorax group proteins reveals retention of ASH1 on mitotic chromatin. Nucleic Acids Research. 41(10). 5235–5250. 37 indexed citations
20.
Kockmann, Tobias, Moritz Gerstung, Daniel Heß, et al.. (2013). The BET protein FSH functionally interacts with ASH1 to orchestrate global gene activity in Drosophila. Genome biology. 14(2). R18–R18. 27 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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