Michael Grau
Impact in
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- Lymphoma Diagnosis and Treatment
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
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- Lymphoma Diagnosis and Treatment 29
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- NF-κB Signaling Pathways 11
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Georg Lenz (29 shared papers)Peter W. Lenz (18 shared papers)Bernd Dörken (10 shared papers)Stephan Hailfinger (9 shared papers)Hendrik Nogai (4 shared papers)Daniel Krappmann (5 shared papers)Matthias Pfeifer (4 shared papers)Margot Thome (6 shared papers)
- Journals
- Blood (13 papers)Leukemia (7 papers)Proceedings of the National Academy of Sciences (6 papers)Nature Communications (5 papers)Cell Reports (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Michael Grau
47 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 82
- Pathology and Forensic Medicine 849
- Cancer Research 430
- Genetics 151
- Oncology 242
- Immunology 198
Countries citing papers authored by Michael Grau
This map shows the geographic impact of Michael Grau'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 Grau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Grau more than expected).
Fields of papers citing papers by Michael Grau
This network shows the impact of papers produced by Michael Grau. 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 Grau. The network helps show where Michael Grau may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Grau, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 234 | |
| 2 | 2011 | 211 | |
| 3 | 2012 | 207 | |
| 4 | 2021 | 149 | |
| 5 | 2015 | 132 | |
| 6 | 2010 | 124 | |
| 7 | 2017 | 88 | |
| 8 | 2012 | 86 | |
| 9 | 2014 | 84 | |
| 10 | 2018 | 74 | |
| 11 | 2013 | 70 | |
| 12 | 2014 | 64 | |
| 13 | 2016 | 60 | |
| 14 | 2023 | 56 | |
| 15 | 2023 | 52 | |
| 16 | 2017 | 44 | |
| 17 | 2014 | 43 | |
| 18 | 2019 | 43 | |
| 19 | 2016 | 42 | |
| 20 | 2021 | 38 |
About Michael Grau
Michael Grau is a scholar working on Pathology and Forensic Medicine, Cancer Research, Molecular Biology, Genetics and Oncology, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), NF-κB Signaling Pathways (11 papers), Genomics and Chromatin Dynamics (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Lymphatic System and Diseases (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (849 citations), Cancer Research (430 citations), Genetics (151 citations), Oncology (242 citations) and Immunology (198 citations). Michael Grau has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Georg Lenz, Peter W. Lenz, Bernd Dörken, Stephan Hailfinger, Hendrik Nogai, Daniel Krappmann, Matthias Pfeifer, Margot Thome, Michelle Vincendeau and Alexandar Tzankov. Their work appears in journals such as Blood, Leukemia, Proceedings of the National Academy of Sciences, Nature Communications and Cell Reports.
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.