Ingo Roeder
Impact in
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Pluripotent Stem Cells Research 17
- Single-cell and spatial transcriptomics 13
- Hematology 42
- Hematopoietic Stem Cell Transplantation 20
- Chronic Myeloid Leukemia Treatments 18
- Acute Myeloid Leukemia Research 12
- Co-authors
- Markus Loeffler (19 shared papers)Ingmar Glauche (46 shared papers)Matthias Horn (6 shared papers)Maria Herberg (7 shared papers)Alexander Garthe (1 shared paper)Gerd Kempermann (1 shared paper)Andreas Hochhaus (3 shared papers)Martin Mueller (1 shared paper)
- Journals
- Blood (10 papers)Experimental Hematology (9 papers)Scientific Reports (5 papers)PLoS ONE (5 papers)Nature Communications (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ingo Roeder
112 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 148
- Hematology 847
- Genetics 471
- Modeling and Simulation 213
- Biophysics 268
- Developmental Neuroscience 122
Countries citing papers authored by Ingo Roeder
This map shows the geographic impact of Ingo Roeder'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 Ingo Roeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Roeder more than expected).
Fields of papers citing papers by Ingo Roeder
This network shows the impact of papers produced by Ingo Roeder. 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 Ingo Roeder. The network helps show where Ingo Roeder may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingo Roeder, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 266 | |
| 2 | 2015 | 190 | |
| 3 | 2002 | 145 | |
| 4 | 2002 | 141 | |
| 5 | 2013 | 134 | |
| 6 | 2006 | 108 | |
| 7 | 2016 | 87 | |
| 8 | 2010 | 73 | |
| 9 | 2009 | 71 | |
| 10 | 2007 | 69 | |
| 11 | 2004 | 62 | |
| 12 | 2012 | 56 | |
| 13 | 2008 | 54 | |
| 14 | 2014 | 51 | |
| 15 | 2013 | 51 | |
| 16 | 2012 | 49 | |
| 17 | 2014 | 48 | |
| 18 | 2007 | 44 | |
| 19 | 2018 | 43 | |
| 20 | 2015 | 42 |
About Ingo Roeder
Ingo Roeder is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Genetics, having authored 117 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Chronic Myeloid Leukemia Treatments (18 papers), Pluripotent Stem Cells Research (17 papers), Chronic Lymphocytic Leukemia Research (15 papers), Single-cell and spatial transcriptomics (13 papers), Cell Image Analysis Techniques (13 papers), Acute Myeloid Leukemia Research (12 papers) and 3D Printing in Biomedical Research (10 papers). The work is most often cited by research in Hematology (847 citations), Genetics (471 citations), Modeling and Simulation (213 citations), Biophysics (268 citations) and Developmental Neuroscience (122 citations). Ingo Roeder has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Markus Loeffler, Ingmar Glauche, Matthias Horn, Maria Herberg, Alexander Garthe, Gerd Kempermann, Andreas Hochhaus, Martin Mueller, Nico Scherf and Lars Thielecke. Their work appears in journals such as Blood, Experimental Hematology, Scientific Reports, PLoS ONE and Nature Communications.
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.