Daniel Wicklein
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Food Allergy and Anaphylaxis Research
- Allergic Rhinitis and Sensitization
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Glycosylation and Glycoproteins Research 4
- RNA Interference and Gene Delivery 4
- Angiogenesis and VEGF in Cancer 3
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- Cell Adhesion Molecules Research 17
- Co-authors
- Udo Schumacher (42 shared papers)Alexander Tonevitsky (9 shared papers)Timur R. Samatov (6 shared papers)Tobias Lange (13 shared papers)M. Yu. Shkurnikov (7 shared papers)Wolf‐Meinhard Becker (4 shared papers)J. A. Makarova (2 shared papers)Andrey Turchinovich (1 shared paper)
In The Last Decade
Daniel Wicklein
59 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 104
- Immunology and Allergy 304
- Cancer Research 315
- Oncology 416
- Immunology 247
- Molecular Biology 677
Countries citing papers authored by Daniel Wicklein
This map shows the geographic impact of Daniel Wicklein'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 Daniel Wicklein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wicklein more than expected).
Fields of papers citing papers by Daniel Wicklein
This network shows the impact of papers produced by Daniel Wicklein. 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 Daniel Wicklein. The network helps show where Daniel Wicklein may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wicklein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 198 | |
| 2 | 2006 | 89 | |
| 3 | 2014 | 84 | |
| 4 | 2013 | 77 | |
| 5 | 2004 | 69 | |
| 6 | 2011 | 68 | |
| 7 | 2016 | 66 | |
| 8 | 2005 | 61 | |
| 9 | 2012 | 49 | |
| 10 | 2012 | 48 | |
| 11 | 2014 | 47 | |
| 12 | 2011 | 44 | |
| 13 | 2014 | 41 | |
| 14 | 2010 | 41 | |
| 15 | 2014 | 39 | |
| 16 | 2004 | 38 | |
| 17 | 2011 | 37 | |
| 18 | 2012 | 33 | |
| 19 | 2010 | 31 | |
| 20 | 2009 | 29 |
About Daniel Wicklein
Daniel Wicklein is a scholar working on Molecular Biology, Immunology and Allergy, Oncology, Immunology and Cancer Research, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (17 papers), Cancer Cells and Metastasis (9 papers), Glycosylation and Glycoproteins Research (4 papers), RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Immunology and Allergy (304 citations), Cancer Research (315 citations), Oncology (416 citations), Immunology (247 citations) and Molecular Biology (677 citations). Daniel Wicklein has collaborated with scholars based in Germany, Russia and Austria. Frequent co-authors include Udo Schumacher, Alexander Tonevitsky, Timur R. Samatov, Tobias Lange, M. Yu. Shkurnikov, Wolf‐Meinhard Becker, J. A. Makarova, Andrey Turchinovich, Jakob R. Izbicki and Arnd Petersen. Their work appears in journals such as PLoS ONE, Journal of Cancer Research and Clinical Oncology, Progress in Histochemistry and Cytochemistry, Blood and Histochemistry and Cell Biology.
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.