Eva Gückel
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Transplantation top 10%
Papers in
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- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 3
- Immune Cell Function and Interaction 2
- Immunotherapy and Immune Responses 2
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
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- Bone Metabolism and Diseases 2
- Kruppel-like factors research 1
- Co-authors
- Georg Schett (4 shared papers)Mario M. Zaiss (2 shared papers)Karin Polzer (2 shared papers)Jochen Zwerina (2 shared papers)Hendrik Schulze‐Koops (1 shared paper)Alla Skapenko (1 shared paper)Andrew P. Cope (1 shared paper)Nicole J. Horwood (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Journal of Allergy and Clinical Immunology (1 paper)Nephrology Dialysis Transplantation (1 paper)Leukemia (1 paper)BioTechniques (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Eva Gückel
11 papers receiving 551 citations
Peers
Comparison fields: 5 of 73
- Immunology 274
- Transplantation 26
- Rheumatology 77
- Oncology 135
- Clinical Biochemistry 32
Countries citing papers authored by Eva Gückel
This map shows the geographic impact of Eva Gückel'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 Eva Gückel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Gückel more than expected).
Fields of papers citing papers by Eva Gückel
This network shows the impact of papers produced by Eva Gückel. 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 Eva Gückel. The network helps show where Eva Gückel may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Gückel, 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 | 2007 | 289 | |
| 2 | 2010 | 48 | |
| 3 | 2009 | 45 | |
| 4 | 2010 | 44 | |
| 5 | 2014 | 30 | |
| 6 | 2014 | 28 | |
| 7 | 2006 | 26 | |
| 8 | 2011 | 22 | |
| 9 | 2010 | 15 | |
| 10 | 2016 | 11 | |
| 11 | 2008 | 1 | |
| 12 | 2025 | 0 |
About Eva Gückel
Eva Gückel is a scholar working on Immunology, Molecular Biology, Genetics, Pharmacology and Oncology, having authored 12 papers that have together received 559 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (3 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers), Bone Metabolism and Diseases (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Kruppel-like factors research (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology (274 citations), Transplantation (26 citations), Rheumatology (77 citations), Oncology (135 citations) and Clinical Biochemistry (32 citations). Eva Gückel has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Georg Schett, Mario M. Zaiss, Karin Polzer, Jochen Zwerina, Hendrik Schulze‐Koops, Alla Skapenko, Andrew P. Cope, Nicole J. Horwood, Roland Axmann and Reinhard Voll. Their work appears in journals such as The Journal of Immunology, Journal of Allergy and Clinical Immunology, Nephrology Dialysis Transplantation, Leukemia and BioTechniques.
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.