Werner Dammermann
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
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- Immune Cell Function and Interaction 4
-
- Hepatitis B Virus Studies 3
- Co-authors
- Andreas H. Guse (6 shared papers)Stefan Lüth (18 shared papers)Julian Schulze zur Wiesch (5 shared papers)Alexander Flügel (3 shared papers)Chiara Cordiglieri (3 shared papers)Barry V. L. Potter (3 shared papers)Frank Buchholz (2 shared papers)Adriana Sumoza‐Toledo (1 shared paper)
- Journals
- Journal of Immunological Methods (2 papers)Scientific Reports (2 papers)Biomedicines (2 papers)The Journal of Immunology (2 papers)Journal of Translational Medicine (2 papers)
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
Werner Dammermann
36 papers receiving 735 citations
Peers
Comparison fields: 5 of 77
- Physiology 303
- Sensory Systems 197
- Hepatology 53
- Immunology 146
- Pharmacology 54
Countries citing papers authored by Werner Dammermann
This map shows the geographic impact of Werner Dammermann'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 Werner Dammermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Werner Dammermann more than expected).
Fields of papers citing papers by Werner Dammermann
This network shows the impact of papers produced by Werner Dammermann. 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 Werner Dammermann. The network helps show where Werner Dammermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Werner Dammermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 122 | |
| 2 | 2015 | 106 | |
| 3 | 2005 | 97 | |
| 4 | 2009 | 89 | |
| 5 | 2010 | 55 | |
| 6 | 2016 | 46 | |
| 7 | 2006 | 33 | |
| 8 | 2013 | 26 | |
| 9 | 2019 | 23 | |
| 10 | 2015 | 18 | |
| 11 | 2023 | 15 | |
| 12 | 2014 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 2019 | 8 | |
| 15 | 2013 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2015 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2025 | 7 |
About Werner Dammermann
Werner Dammermann is a scholar working on Immunology, Epidemiology, Physiology, Molecular Biology and Sensory Systems, having authored 39 papers that have together received 747 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (6 papers), Immune Cell Function and Interaction (4 papers), Ion Channels and Receptors (4 papers), Hepatitis B Virus Studies (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Vibrio bacteria research studies (2 papers), Adenosine and Purinergic Signaling (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Physiology (303 citations), Sensory Systems (197 citations), Hepatology (53 citations), Immunology (146 citations) and Pharmacology (54 citations). Werner Dammermann has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Andreas H. Guse, Stefan Lüth, Julian Schulze zur Wiesch, Alexander Flügel, Chiara Cordiglieri, Barry V. L. Potter, Frank Buchholz, Adriana Sumoza‐Toledo, Ralf Fliegert and Daniela Indenbirken. Their work appears in journals such as Journal of Immunological Methods, Scientific Reports, Biomedicines, The Journal of Immunology and Journal of Translational 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.