Marion Leick
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Immune cells in cancer
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Immune Response and Inflammation 2
- Oncology 5
- Chemokine receptors and signaling 5
- Co-authors
- Meike Burger (7 shared papers)Verónica Azcutia (3 shared papers)Francis W. Luscinskas (4 shared papers)Julie Catusse (5 shared papers)Gail Newton (3 shared papers)Percy Schröttner (2 shared papers)Ingrid U. Schraufstätter (2 shared papers)Tanja Nicole Hartmann (3 shared papers)
- Journals
- Immunology (2 papers)Cell and Tissue Research (1 paper)The FASEB Journal (1 paper)Tissue Barriers (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Marion Leick
11 papers receiving 419 citations
Peers
Comparison fields: 5 of 72
- Immunology 219
- Immunology and Allergy 43
- Oncology 163
- Neurology 17
- Genetics 20
Countries citing papers authored by Marion Leick
This map shows the geographic impact of Marion Leick'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 Marion Leick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Leick more than expected).
Fields of papers citing papers by Marion Leick
This network shows the impact of papers produced by Marion Leick. 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 Marion Leick. The network helps show where Marion Leick may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Leick, 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 | 2014 | 100 | |
| 2 | 2016 | 82 | |
| 3 | 2009 | 54 | |
| 4 | 2009 | 52 | |
| 5 | 2010 | 47 | |
| 6 | 2010 | 34 | |
| 7 | 2008 | 30 | |
| 8 | 2009 | 17 | |
| 9 | 2015 | 3 | |
| 10 | 2011 | 1 | |
| 11 | 2015 | 1 |
About Marion Leick
Marion Leick is a scholar working on Immunology, Oncology, Molecular Biology, Immunology and Allergy and Genetics, having authored 11 papers that have together received 421 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (5 papers), Glycosylation and Glycoproteins Research (3 papers), Immunotherapy and Immune Responses (3 papers), Cell Adhesion Molecules Research (3 papers), T-cell and B-cell Immunology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immune Response and Inflammation (2 papers) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Immunology (219 citations), Immunology and Allergy (43 citations), Oncology (163 citations), Neurology (17 citations) and Genetics (20 citations). Marion Leick has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Meike Burger, Verónica Azcutia, Francis W. Luscinskas, Julie Catusse, Gail Newton, Percy Schröttner, Ingrid U. Schraufstätter, Tanja Nicole Hartmann, Michael Pfeiffer and Annette Schmitt‐Graeff. Their work appears in journals such as Immunology, Cell and Tissue Research, The FASEB Journal, Tissue Barriers and Journal of Clinical Investigation.
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.