Mark Winderlich
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Neurology top 5%
- Barrier Structure and Function Studies
Papers in ⓘ
- Genetics 10
- Chronic Lymphocytic Leukemia Research 10
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- Lymphoma Diagnosis and Treatment 11
- Co-authors
- Dietmar Vestweber (8 shared papers)Astrid F. Nottebaum (8 shared papers)Giuseppe Cagna (6 shared papers)Urban Deutsch (3 shared papers)Maike Frye (3 shared papers)Alexander Zarbock (3 shared papers)Andre Broermann (4 shared papers)Olena Kamenyeva (3 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)The Journal of Experimental Medicine (3 papers)Blood (3 papers)The Journal of Cell Biology (2 papers)Annals of Hematology (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Mark Winderlich
23 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 86
- Immunology and Allergy 285
- Neurology 143
- Immunology 352
- Cell Biology 253
- Hematology 159
Countries citing papers authored by Mark Winderlich
This map shows the geographic impact of Mark Winderlich'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 Mark Winderlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Winderlich more than expected).
Fields of papers citing papers by Mark Winderlich
This network shows the impact of papers produced by Mark Winderlich. 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 Mark Winderlich. The network helps show where Mark Winderlich may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Winderlich, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 352 | |
| 2 | 2014 | 274 | |
| 3 | 2008 | 223 | |
| 4 | 2008 | 184 | |
| 5 | 2011 | 157 | |
| 6 | 2009 | 146 | |
| 7 | 2018 | 101 | |
| 8 | 2020 | 68 | |
| 9 | 2017 | 20 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2020 | 11 | |
| 13 | 2018 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2016 | 6 | |
| 16 | 2009 | 5 | |
| 17 | 2012 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2017 | 2 |
About Mark Winderlich
Mark Winderlich is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology and Allergy, Oncology and Hematology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), CAR-T cell therapy research (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Multiple Myeloma Research and Treatments (4 papers), Cell Adhesion Molecules Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Immunology and Allergy (285 citations), Neurology (143 citations), Immunology (352 citations), Cell Biology (253 citations) and Hematology (159 citations). Mark Winderlich has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Dietmar Vestweber, Astrid F. Nottebaum, Giuseppe Cagna, Urban Deutsch, Maike Frye, Alexander Zarbock, Andre Broermann, Olena Kamenyeva, Juho J. Miettinen and Pipsa Saharinen. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Experimental Medicine, Blood, The Journal of Cell Biology and Annals of Hematology.
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.