Dagmar Riemann
- Oncology top 2%
- Peptidase Inhibition and Analysis 29
- Cancer Immunotherapy and Biomarkers 12
- Immunology top 5%
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 7
- Immunology and Allergy top 5%
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- Neuropeptides and Animal Physiology 17
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms 6
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- Glycosylation and Glycoproteins Research 6
- Signaling Pathways in Disease 6
- Co-authors
- Jürgen LangnerAstrid KehlenBarbara SeligerAlexander Navarrete SantosK. ThieleChristine LautenschlägerWolfgang SchütteHans-Jürgen Holzhausen
- Journals
- Journal of Biological Chemistry (1 paper)The Journal of Immunology (1 paper)Biochemical Journal (2 papers)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Dagmar Riemann
78 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 115
- Oncology 1.0k
- Immunology 529
- Immunology and Allergy 125
- Cellular and Molecular Neuroscience 346
- Cancer Research 279
Countries citing papers authored by Dagmar Riemann
This map shows the geographic impact of Dagmar Riemann'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 Dagmar Riemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Riemann more than expected).
Fields of papers citing papers by Dagmar Riemann
This network shows the impact of papers produced by Dagmar Riemann. 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 Dagmar Riemann. The network helps show where Dagmar Riemann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dagmar Riemann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2013 | 22 | |
| 4 | 2010 | 36 | |
| 5 | 2008 | 1 | |
| 6 | 2006 | 28 | |
| 7 | 2006 | 5 | |
| 8 | 2006 | 7 | |
| 9 | 2003 | 55 | |
| 10 | 2001 | 11 | |
| 11 | 2000 | 101 | |
| 12 | 2000 | 50 | |
| 13 | 1999 | 52 | |
| 14 | 1999 | 7 | |
| 15 | 1998 | 18 | |
| 16 | 1997 | 14 | |
| 17 | 1997 | 13 | |
| 18 | 1996 | 21 | |
| 19 | 1994 | 29 | |
| 20 | 1994 | 54 |
About Dagmar Riemann
Dagmar Riemann is a scholar working on Oncology, Immunology and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (29 papers), Neuropeptides and Animal Physiology (17 papers), Cancer Immunotherapy and Biomarkers (12 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (7 papers), Glycosylation and Glycoproteins Research (6 papers), Protease and Inhibitor Mechanisms (6 papers) and Signaling Pathways in Disease (6 papers). The work is most often cited by research in Oncology (1.0k citations), Immunology (529 citations) and Immunology and Allergy (125 citations). Dagmar Riemann has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Jürgen Langner, Astrid Kehlen, Barbara Seliger, Alexander Navarrete Santos, K. Thiele, Christine Lautenschläger, Wolfgang Schütte, Hans-Jürgen Holzhausen, Manfred Herrmann and Paolo Fornara. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemical Journal.
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.