Ingmar Glauche
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 35
- Chronic Myeloid Leukemia Treatments 21
- Hematopoietic Stem Cell Transplantation 14
- Biophysics 11
- Cell Image Analysis Techniques 11
- Co-authors
- Ingo RoederMarkus LoefflerMatthias HornAndreas HochhausLars ThieleckeMartin MuellerMaria HerbergMartin Greiner
- Journals
- Experimental Hematology (6 papers)PLoS ONE (5 papers)Blood (4 papers)Physica A Statistical Mechanics and its Applications (4 papers)Scientific Reports (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Ingmar Glauche
81 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 131
- Hematology 622
- Genetics 399
- Biophysics 140
- Modeling and Simulation 97
- Aging 26
Countries citing papers authored by Ingmar Glauche
This map shows the geographic impact of Ingmar Glauche'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 Ingmar Glauche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingmar Glauche more than expected).
Fields of papers citing papers by Ingmar Glauche
This network shows the impact of papers produced by Ingmar Glauche. 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 Ingmar Glauche. The network helps show where Ingmar Glauche may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingmar Glauche, 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 | 2025 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 23 | |
| 9 | 2020 | 4 | |
| 10 | 2019 | 14 | |
| 11 | 2018 | 29 | |
| 12 | 2017 | 4 | |
| 13 | 2016 | 65 | |
| 14 | 2015 | 27 | |
| 15 | 2011 | 28 | |
| 16 | 2011 | 25 | |
| 17 | 2010 | 70 | |
| 18 | 2009 | 63 | |
| 19 | 2009 | 22 | |
| 20 | 2007 | 21 |
About Ingmar Glauche
Ingmar Glauche is a scholar working on Hematology, Biophysics, Genetics, Rheumatology and Molecular Biology, having authored 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (21 papers), Single-cell and spatial transcriptomics (14 papers), Hematopoietic Stem Cell Transplantation (14 papers), Chronic Lymphocytic Leukemia Research (13 papers), Cell Image Analysis Techniques (11 papers), Pluripotent Stem Cells Research (9 papers), Eosinophilic Disorders and Syndromes (9 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Hematology (622 citations), Genetics (399 citations), Biophysics (140 citations), Modeling and Simulation (97 citations) and Aging (26 citations). Ingmar Glauche has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ingo Roeder, Markus Loeffler, Matthias Horn, Andreas Hochhaus, Lars Thielecke, Martin Mueller, Maria Herberg, Martin Greiner, Rudolf Sollacher and Thomas Zerjatke. Their work appears in journals such as Experimental Hematology, PLoS ONE, Blood, Physica A Statistical Mechanics and its Applications and Scientific 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.