Michael Schumm
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 59
- Immunology top 1%
- Immune Cell Function and Interaction 32
- T-cell and B-cell Immunology 22
- Immunotherapy and Immune Responses 9
- Oncology top 2%
- CAR-T cell therapy research 15
- Genetics top 2%
- Mesenchymal stem cell research 18
- Virus-based gene therapy research 15
- Transplantation top 5%
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- Cytomegalovirus and herpesvirus research 13
- Co-authors
- Rupert HandgretingerPeter LangTobias FeuchtingerD. NiethammerE. BergerJohann GreilWolfgang BethgeMatthias Pfeiffer
- Cited by
- HematologyImmunologyOncology
- Journals
- Bone Marrow Transplantation (14 papers)Blood (10 papers)British Journal of Haematology (8 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Michael Schumm
107 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 133
- Hematology 2.1k
- Immunology 1.8k
- Oncology 1.5k
- Genetics 417
- Transplantation 99
Countries citing papers authored by Michael Schumm
This map shows the geographic impact of Michael Schumm'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 Schumm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schumm more than expected).
Fields of papers citing papers by Michael Schumm
This network shows the impact of papers produced by Michael Schumm. 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 Schumm. The network helps show where Michael Schumm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Schumm, 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 | 8 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 8 | |
| 4 | 2019 | 20 | |
| 5 | 2017 | 1 | |
| 6 | 2013 | 95 | |
| 7 | 2010 | 14 | |
| 8 | 2010 | 46 | |
| 9 | 2009 | 46 | |
| 10 | 2007 | 34 | |
| 11 | 2006 | 304 | |
| 12 | 2003 | 71 | |
| 13 | 2000 | 31 | |
| 14 | 1999 | 113 | |
| 15 | 1998 | 98 | |
| 16 | 1998 | 206 | |
| 17 | 1997 | 16 | |
| 18 | Adaptive properties of "hard-wired" neuronal systems | 1995 | 26 |
| 19 | 1994 | 11 | |
| 20 | 1994 | 4 |
About Michael Schumm
Michael Schumm is a scholar working on Hematology, Immunology, Genetics, Developmental Neuroscience and Oncology, having authored 109 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (59 papers), Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (22 papers), Mesenchymal stem cell research (18 papers), Virus-based gene therapy research (15 papers), CAR-T cell therapy research (15 papers), Cytomegalovirus and herpesvirus research (13 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Hematology (2.1k citations), Immunology (1.8k citations), Oncology (1.5k citations), Genetics (417 citations) and Transplantation (99 citations). Michael Schumm has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Rupert Handgretinger, Peter Lang, Tobias Feuchtinger, D. Niethammer, E. Berger, Johann Greil, Wolfgang Bethge, Matthias Pfeiffer, Peter Bader and Klaus Hamprecht. Their work appears in journals such as Bone Marrow Transplantation, Blood, British Journal of Haematology, Annals of Hematology and Stem Cells and Development.
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.