Dagmar Wider
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
-
- Chemokine receptors and signaling
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
- Hematology 23
- Multiple Myeloma Research and Treatments 19
- Acute Myeloid Leukemia Research 4
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- Protein Degradation and Inhibitors 6
- Histone Deacetylase Inhibitors Research 3
- Co-authors
- Monika Engelhardt (25 shared papers)Ralph Wäsch (19 shared papers)Gabriele Ihorst (13 shared papers)Marie Follo (12 shared papers)Johannes M. Waldschmidt (12 shared papers)Julia Schüler (9 shared papers)Justus Duyster (12 shared papers)Mihaela Zlei (2 shared papers)
- Journals
- Blood (12 papers)British Journal of Haematology (2 papers)European Journal of Immunology (1 paper)Frontiers in Oncology (1 paper)Cancer Research (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Dagmar Wider
24 papers receiving 294 citations
Peers
Comparison fields: 5 of 51
- Hematology 164
- Oncology 141
- Immunology 83
- Genetics 33
- Molecular Biology 144
Countries citing papers authored by Dagmar Wider
This map shows the geographic impact of Dagmar Wider'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 Dagmar Wider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Wider more than expected).
Fields of papers citing papers by Dagmar Wider
This network shows the impact of papers produced by Dagmar Wider. 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 Dagmar Wider. The network helps show where Dagmar Wider may publish in the future.
Co-authors
The 25 scholars most cited alongside Dagmar Wider, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 59 | |
| 2 | 2007 | 35 | |
| 3 | 1996 | 34 | |
| 4 | 2013 | 33 | |
| 5 | 2015 | 28 | |
| 6 | 2013 | 21 | |
| 7 | 2005 | 19 | |
| 8 | 2017 | 15 | |
| 9 | 2010 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 7 | |
| 12 | 2011 | 7 | |
| 13 | 2018 | 5 | |
| 14 | 2013 | 4 | |
| 15 | 2017 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2011 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2018 | 1 |
About Dagmar Wider
Dagmar Wider is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 301 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), Chemokine receptors and signaling (6 papers), Protein Degradation and Inhibitors (6 papers), Acute Myeloid Leukemia Research (4 papers), Immunotherapy and Immune Responses (4 papers), Microtubule and mitosis dynamics (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Hematology (164 citations), Oncology (141 citations), Immunology (83 citations), Genetics (33 citations) and Molecular Biology (144 citations). Dagmar Wider has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Monika Engelhardt, Ralph Wäsch, Gabriele Ihorst, Marie Follo, Johannes M. Waldschmidt, Julia Schüler, Justus Duyster, Mihaela Zlei, Sarah Decker and Dominik Schnerch. Their work appears in journals such as Blood, British Journal of Haematology, European Journal of Immunology, Frontiers in Oncology and Cancer Research.
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.