Michael Notter
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 5
- Mesenchymal stem cell research 5
- Urology top 2%
- Rheumatology top 5%
- Biomaterials top 5%
- Hematology top 5%
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- Immune Cell Function and Interaction 12
- Immunotherapy and Immune Responses 11
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- Glycosylation and Glycoproteins Research 6
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- Lymphoma Diagnosis and Treatment 6
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- Proteoglycans and glycosaminoglycans research 5
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- Acute Lymphoblastic Leukemia research 5
- Co-authors
- Michael SittingerJochen RingeChristian KapsMichaela EndresKatja NeumannKristin AndreasGerd R BurmesterSandra Strassburg
- Cited by
- GeneticsUrologyRheumatology
- Journals
- Blood (6 papers)British Journal of Haematology (3 papers)International Journal of Cancer (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Notter
68 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 144
- Genetics 516
- Urology 183
- Rheumatology 351
- Biomaterials 213
- Hematology 153
Countries citing papers authored by Michael Notter
This map shows the geographic impact of Michael Notter'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 Michael Notter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Notter more than expected).
Fields of papers citing papers by Michael Notter
This network shows the impact of papers produced by Michael Notter. 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 Michael Notter. The network helps show where Michael Notter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Notter, 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 | 2022 | 5 | |
| 2 | 2020 | 7 | |
| 3 | 2020 | 25 | |
| 4 | 2019 | 26 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 1 | |
| 7 | 2012 | 3 | |
| 8 | 2012 | 182 | |
| 9 | 2012 | 85 | |
| 10 | patients with diffuse large B-cell lymphoma (DLBCL): results from the phase II EUR018 trial | 2011 | 1 |
| 11 | 2009 | 70 | |
| 12 | 2009 | 34 | |
| 13 | 2003 | 2 | |
| 14 | 2003 | 2 | |
| 15 | 1998 | 22 | |
| 16 | 1996 | 23 | |
| 17 | 1993 | 38 | |
| 18 | 1993 | 9 | |
| 19 | 1992 | 13 | |
| 20 | 1990 | 15 |
About Michael Notter
Michael Notter is a scholar working on Genetics, Immunology and Immunology and Allergy, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (11 papers), Glycosylation and Glycoproteins Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Proteoglycans and glycosaminoglycans research (5 papers), Mesenchymal stem cell research (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Genetics (516 citations), Urology (183 citations) and Rheumatology (351 citations). Michael Notter has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Michael Sittinger, Jochen Ringe, Christian Kaps, Michaela Endres, Katja Neumann, Kristin Andreas, Gerd R Burmester, Sandra Strassburg, Eveline Geiser and John D. E. Gabrieli. Their work appears in journals such as Blood, British Journal of Haematology, International Journal of Cancer, Annals of Oncology and Philosophical Magazine B.
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.