Michael Schumm
Impact in
- Hematology top 0.2%
- Hematopoietic Stem Cell Transplantation
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Hematology 58
- Hematopoietic Stem Cell Transplantation 56
- Immunology 36
- Immune Cell Function and Interaction 28
- T-cell and B-cell Immunology 17
- Co-authors
- Rupert Handgretinger (69 shared papers)Peter Lang (59 shared papers)Tobias Feuchtinger (35 shared papers)D. Niethammer (24 shared papers)E. Berger (2 shared papers)Johann Greil (20 shared papers)Matthias Pfeiffer (20 shared papers)Holk Cruse (11 shared papers)
- Journals
- Bone Marrow Transplantation (14 papers)Blood (10 papers)British Journal of Haematology (8 papers)Annals of Hematology (4 papers)Stem Cells and Development (3 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Michael Schumm
117 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 134
- Hematology 2.0k
- Immunology 1.7k
- Oncology 1.3k
- Genetics 406
- Transplantation 91
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-authors
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
Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 351 | |
| 2 | 2006 | 325 | |
| 3 | 2007 | 256 | |
| 4 | 1998 | 240 | |
| 5 | 2001 | 216 | |
| 6 | 2012 | 213 | |
| 7 | 1994 | 191 | |
| 8 | 1990 | 168 | |
| 9 | 2005 | 160 | |
| 10 | 1999 | 122 | |
| 11 | 2015 | 119 | |
| 12 | 2013 | 108 | |
| 13 | 1998 | 105 | |
| 14 | 2004 | 100 | |
| 15 | 2012 | 97 | |
| 16 | 2003 | 92 | |
| 17 | 2004 | 91 | |
| 18 | 1999 | 88 | |
| 19 | 2005 | 88 | |
| 20 | 2009 | 87 |
About Michael Schumm
Michael Schumm is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Genetics, having authored 119 papers that have together received 5.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (56 papers), Immune Cell Function and Interaction (28 papers), Mesenchymal stem cell research (18 papers), T-cell and B-cell Immunology (17 papers), Virus-based gene therapy research (15 papers), CAR-T cell therapy research (13 papers), Cytomegalovirus and herpesvirus research (11 papers) and Robotic Locomotion and Control (9 papers). The work is most often cited by research in Hematology (2.0k citations), Immunology (1.7k citations), Oncology (1.3k citations), Genetics (406 citations) and Transplantation (91 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, Matthias Pfeiffer, Holk Cruse, Wolfgang Bethge and Peter Bader. 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.