Michael Naumann

11.9k total citations
208 papers, 9.1k citations indexed

About

Michael Naumann is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Michael Naumann has authored 208 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 77 papers in Immunology and 68 papers in Surgery. Recurrent topics in Michael Naumann's work include Helicobacter pylori-related gastroenterology studies (64 papers), NF-κB Signaling Pathways (53 papers) and Galectins and Cancer Biology (39 papers). Michael Naumann is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (64 papers), NF-κB Signaling Pathways (53 papers) and Galectins and Cancer Biology (39 papers). Michael Naumann collaborates with scholars based in Germany, United States and United Kingdom. Michael Naumann's co-authors include Claus Scheidereit, Thomas F. Meyer, Olga Sokolova, Steffen Backert, Wolfgang Dubiel, Manfred Neumann, F. Gregory Wulczyn, Katrin Schweitzer, Gunter Maubach and Silja Weßler and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Naumann

204 papers receiving 9.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Naumann Germany 53 4.0k 3.4k 2.7k 2.0k 1.5k 208 9.1k
Manuel R. Amieva United States 42 2.7k 0.7× 1.8k 0.5× 3.1k 1.1× 390 0.2× 1.2k 0.8× 68 7.5k
Katsuko Sudo Japan 44 4.3k 1.1× 6.8k 2.0× 1.0k 0.4× 1.5k 0.8× 1.4k 0.9× 140 13.1k
Jun Nakayama Japan 49 4.7k 1.2× 2.4k 0.7× 1.8k 0.7× 478 0.2× 869 0.6× 265 8.2k
Sandra Gendler United States 66 9.8k 2.5× 5.7k 1.7× 1.4k 0.5× 790 0.4× 3.0k 1.9× 169 15.2k
Lin‐Feng Chen United States 40 5.1k 1.3× 2.3k 0.7× 742 0.3× 2.2k 1.1× 1.6k 1.1× 100 9.2k
Eugenio Scanziani Italy 39 2.2k 0.6× 1.3k 0.4× 669 0.2× 676 0.3× 1.2k 0.8× 210 6.0k
Stanley Ching‐Cheng Huang United States 30 4.3k 1.1× 6.8k 2.0× 646 0.2× 1.9k 1.0× 1.5k 1.0× 47 11.5k
David Voehringer Germany 52 2.6k 0.7× 6.0k 1.8× 1.9k 0.7× 323 0.2× 763 0.5× 149 10.2k
Ifor R. Williams United States 56 5.6k 1.4× 5.1k 1.5× 836 0.3× 841 0.4× 2.1k 1.3× 156 13.2k
Sergei A. Nedospasov Russia 60 4.1k 1.0× 6.4k 1.9× 1.0k 0.4× 1.7k 0.9× 2.0k 1.3× 239 12.2k

Countries citing papers authored by Michael Naumann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Naumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Naumann

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Naumann. A scholar is included among the top collaborators of Michael Naumann 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 Michael Naumann. Michael Naumann 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.
Lim, Michelle, Gunter Maubach, & Michael Naumann. (2025). CYLD-TRAF6 interaction promotes ADP-heptose-induced NF-κB signaling in H. pylori infection. EMBO Reports. 26(13). 3241–3263. 1 indexed citations
2.
Singh, Abhishek, Leif Steil, Christian Hentschker, et al.. (2025). Staphylococcal SplA and SplB serine proteases target ubiquitin(-like) specific proteases. AMB Express. 15(1). 32–32.
3.
Maubach, Gunter, Michelle Lim, & Michael Naumann. (2024). Discovery of biosynthetic enzymes for β-D-manno-heptoses across kingdoms: novel agonists for ALPK1/NF-κB-dependent immune response. Signal Transduction and Targeted Therapy. 9(1). 277–277. 1 indexed citations
4.
Sharafutdinov, Irshad, Aileen Harrer, Mathias Müsken, et al.. (2024). Cortactin-dependent control of Par1b-regulated epithelial cell polarity in Helicobacter infection. SHILAP Revista de lepidopterología. 3(3). 100161–100161. 5 indexed citations
5.
6.
Sokolova, Olga & Michael Naumann. (2021). Manifold role of ubiquitin in Helicobacter pylori infection and gastric cancer. Cellular and Molecular Life Sciences. 78(10). 4765–4783. 11 indexed citations
7.
Maubach, Gunter, Michelle Lim, Olga Sokolova, et al.. (2021). TIFA has dual functions in Helicobacter pylori ‐induced classical and alternative NF‐κB pathways. EMBO Reports. 22(9). e52878–e52878. 39 indexed citations
8.
Studencka‐Turski, Maja, et al.. (2018). Constitutive activation of nuclear factor kappa B-inducing kinase counteracts apoptosis in cells with rearranged mixed lineage leukemia gene. Leukemia. 32(11). 2498–2501. 12 indexed citations
9.
Maubach, Gunter, et al.. (2018). NF-kappaB-inducing kinase in cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1871(1). 40–49. 27 indexed citations
10.
Lim, Michelle, Gunter Maubach, Olga Sokolova, et al.. (2017). Pathogen-induced ubiquitin-editing enzyme A20 bifunctionally shuts off NF-κB and caspase-8-dependent apoptotic cell death. Cell Death and Differentiation. 24(9). 1621–1631. 43 indexed citations
11.
Huang, Xiaohua, et al.. (2013). CAND1-dependent control of cullin 1-RING Ub ligases is essential for adipogenesis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(5). 1078–1084. 27 indexed citations
12.
Sokolova, Olga, et al.. (2013). Helicobacter pylori induces type 4 secretion system-dependent, but CagA-independent activation of IκBs and NF-κB/RelA at early time points. International Journal of Medical Microbiology. 303(8). 548–552. 39 indexed citations
13.
Kähne, Thilo, Angela Kolodziej, Karl‐Heinz Smalla, et al.. (2012). Synaptic proteome changes in mouse brain regions upon auditory discrimination learning. PROTEOMICS. 12(15-16). 2433–2444. 14 indexed citations
14.
Walduck, Anna K., Matthias M. Weber, Christian Wunder, et al.. (2009). Identification of novel Cyclooxygenase-2-dependent genes in Helicobacter pylori infection in vivo. Molecular Cancer. 8(1). 22–22. 8 indexed citations
15.
Sakowicz‐Burkiewicz, Monika, Gopala Nishanth, Dirk H. Busch, et al.. (2008). Protein Kinase C-θ Critically Regulates the Proliferation and Survival of Pathogen-Specific T Cells in Murine Listeriosis. The Journal of Immunology. 180(8). 5601–5612. 17 indexed citations
16.
Huang, Xiaohua, Ulrike Seifert, Thilo Kähne, et al.. (2005). Consequences of COP9 signalosome and 26S proteasome interaction. FEBS Journal. 272(15). 3909–3917. 61 indexed citations
17.
Churin, Y, et al.. (2003). Helicobacter pylori CagA protein targets the c-Met receptor and enhances the motogenic response. The Journal of Cell Biology. 161(2). 249–255. 304 indexed citations
18.
19.
Naumann, Michael. (2001). Die schönste Form der Freiheit : Reden und Essays zur Kultur der Nation. 1 indexed citations
20.
Backert, Steffen, Elke Ziska, Volker Brinkmann, et al.. (2000). Translocation of the Helicobacter pylori CagA protein in gastric epithelial cells by a type IV secretion apparatus. Cellular Microbiology. 2(2). 155–164. 349 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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