Michael Naumann

11.9k citations
208 papers · 9.1k · h-index 53

Impact in

  • Immunology top 0.5%
    • Galectins and Cancer Biology
    • Immune Response and Inflammation
    • interferon and immune responses
    • NF-κB Signaling Pathways

Papers in

    • Ubiquitin and proteasome pathways 36
    • Galectins and Cancer Biology 39
    • Immune Response and Inflammation 19
    • interferon and immune responses 16

Michael Naumann

204 papers receiving 9.0k citations

Peers

Michael Naumann
Comparison fields: 5 of 141
  • Immunology 3.4k
  • Cancer Research 2.0k
  • Small Animals 613
  • Surgery 2.7k
  • Molecular Biology 4.0k
Replace Manuel R. Amieva with:
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Michael Naumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Naumann Line = papers co-authored together Michael Naumann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000349
2 1994328
3 1998306
4 2003304
5 2007226
6 1992212
7 1992207
8 2004189
9 2005181
10 2017173
11 2007167
12 2013153
13 1989153
14 2010151
15 2003148
16 1999140
17 1993135
18 2005131
19 2017127
20 2016126

About Michael Naumann

Michael Naumann is a scholar working on Molecular Biology, Immunology, Surgery, Cancer Research and Oncology, having authored 208 papers that have together received 9.1k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (64 papers), NF-κB Signaling Pathways (53 papers), Galectins and Cancer Biology (39 papers), Ubiquitin and proteasome pathways (36 papers), Veterinary medicine and infectious diseases (19 papers), Immune Response and Inflammation (19 papers), interferon and immune responses (16 papers) and Cancer-related Molecular Pathways (13 papers). The work is most often cited by research in Immunology (3.4k citations), Cancer Research (2.0k citations), Small Animals (613 citations), Surgery (2.7k citations) and Molecular Biology (4.0k citations). Michael Naumann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Trends in Microbiology, The FASEB Journal and Trends in Molecular Medicine.

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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