Angelika Hoffmeyer
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
Papers in
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- Melanoma and MAPK Pathways 6
- Protein Kinase Regulation and GTPase Signaling 2
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- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
- interferon and immune responses 2
- Co-authors
- James N. Ihle (7 shared papers)Ulf R. Rapp (9 shared papers)Demin Wang (3 shared papers)Mark Y. Sangster (2 shared papers)Stephan Ludwig (4 shared papers)Richard Moriggl (4 shared papers)Egbert Flory (5 shared papers)Veronika Sexl (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Immunity (4 papers)Molecular and Cellular Biology (3 papers)Journal of Virology (2 papers)Molecular Endocrinology (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Angelika Hoffmeyer
18 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 93
- Immunology 1.2k
- Oncology 799
- Cancer Research 318
- Immunology and Allergy 102
- Hematology 164
Countries citing papers authored by Angelika Hoffmeyer
This map shows the geographic impact of Angelika Hoffmeyer'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 Angelika Hoffmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelika Hoffmeyer more than expected).
Fields of papers citing papers by Angelika Hoffmeyer
This network shows the impact of papers produced by Angelika Hoffmeyer. 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 Angelika Hoffmeyer. The network helps show where Angelika Hoffmeyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Angelika Hoffmeyer, 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 | 1999 | 480 | |
| 2 | 2000 | 390 | |
| 3 | 2000 | 355 | |
| 4 | 1998 | 196 | |
| 5 | 2005 | 192 | |
| 6 | 1996 | 156 | |
| 7 | 2013 | 153 | |
| 8 | 1999 | 153 | |
| 9 | 2004 | 117 | |
| 10 | 1999 | 92 | |
| 11 | 2011 | 92 | |
| 12 | 1996 | 79 | |
| 13 | 1998 | 54 | |
| 14 | 2000 | 54 | |
| 15 | 1998 | 49 | |
| 16 | 1997 | 45 | |
| 17 | 2001 | 40 | |
| 18 | 2003 | 26 |
About Angelika Hoffmeyer
Angelika Hoffmeyer is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Cell Biology, having authored 18 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (8 papers), Melanoma and MAPK Pathways (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), NF-κB Signaling Pathways (4 papers), interferon and immune responses (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (799 citations), Cancer Research (318 citations), Immunology and Allergy (102 citations) and Hematology (164 citations). Angelika Hoffmeyer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include James N. Ihle, Ulf R. Rapp, Demin Wang, Mark Y. Sangster, Stephan Ludwig, Richard Moriggl, Egbert Flory, Veronika Sexl, Kevin D. Bunting and Mercedes Rincón. Their work appears in journals such as Journal of Biological Chemistry, Immunity, Molecular and Cellular Biology, Journal of Virology and Molecular Endocrinology.
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.