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
-
- Glycosylation and Glycoproteins Research 1
- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
-
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 2
- Galectins and Cancer Biology 1
- Immunotherapy and Immune Responses 1
- Co-authors
- Georg Schett (4 shared papers)Mario M. Zaiss (2 shared papers)Karin Polzer (2 shared papers)Jochen Zwerina (2 shared papers)Roland Axmann (1 shared paper)Hendrik Schulze‐Koops (1 shared paper)Alla Skapenko (1 shared paper)Andrew P. Cope (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)BioTechniques (1 paper)Leukemia (1 paper)PLoS ONE (1 paper)Nephrology Dialysis Transplantation (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Eva Gückel
12 papers receiving 565 citations
Peers
Comparison fields: 5 of 68
- Immunology 245
- Transplantation 21
- Rheumatology 71
- Clinical Biochemistry 32
- Oncology 118
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 | 293 | |
| 2 | 2010 | 48 | |
| 3 | 2009 | 46 | |
| 4 | 2010 | 44 | |
| 5 | 2014 | 30 | |
| 6 | 2014 | 28 | |
| 7 | 2006 | 27 | |
| 8 | 2011 | 22 | |
| 9 | 2010 | 15 | |
| 10 | 2016 | 11 | |
| 11 | 2022 | 8 | |
| 12 | 2008 | 1 | |
| 13 | 2025 | 0 |
About Eva Gückel
Eva Gückel is a scholar working on Molecular Biology, Immunology, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 13 papers that have together received 573 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (2 papers), Acute Myeloid Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Galectins and Cancer Biology (1 paper), Immunotherapy and Immune Responses (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (245 citations), Transplantation (21 citations), Rheumatology (71 citations), Clinical Biochemistry (32 citations) and Oncology (118 citations). Eva Gückel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Georg Schett, Mario M. Zaiss, Karin Polzer, Jochen Zwerina, Roland Axmann, Hendrik Schulze‐Koops, Alla Skapenko, Andrew P. Cope, Reinhard Voll and Silke Meister. Their work appears in journals such as The Journal of Immunology, BioTechniques, Leukemia, PLoS ONE and Nephrology Dialysis Transplantation.
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.