Hartmut Geiger
Impact in
- Hematology top 0.2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Aging top 0.5%
Papers in
-
- Epigenetics and DNA Methylation 22
- DNA Repair Mechanisms 12
- Single-cell and spatial transcriptomics 12
- Hematology 61
- Hematopoietic Stem Cell Transplantation 47
- Acute Myeloid Leukemia Research 17
- Co-authors
- Maria Carolina Florian (29 shared papers)Gary Van Zant (15 shared papers)Yi Zheng (34 shared papers)Gerald de Haan (7 shared papers)Kalpana Nattamai (24 shared papers)Matthias Gunzer (6 shared papers)Deidre Daria (9 shared papers)Shailaja Akunuru (4 shared papers)
- Journals
- Blood (24 papers)Experimental Hematology (10 papers)New England Journal of Medicine (7 papers)Leukemia (6 papers)Stem Cell Reports (6 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Hartmut Geiger
186 papers receiving 7.6k citations
Hartmut Geiger's Hit Papers
Peers
Comparison fields: 5 of 181
- Hematology 2.2k
- Aging 318
- Immunology 1.9k
- Genetics 836
- Molecular Biology 3.1k
Countries citing papers authored by Hartmut Geiger
This map shows the geographic impact of Hartmut Geiger'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 Hartmut Geiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hartmut Geiger more than expected).
Fields of papers citing papers by Hartmut Geiger
This network shows the impact of papers produced by Hartmut Geiger. 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 Hartmut Geiger. The network helps show where Hartmut Geiger may publish in the future.
Co-authors
The 25 scholars most cited alongside Hartmut Geiger, 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 195 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 417 | |
| 2 | Impaired immune surveillance accelerates accumulation of senescent cells and aging Hit paper breakdown → | 2018 | 415 |
| 3 | 2012 | 391 | |
| 4 | Inflammation-Induced Emergency Megakaryopoiesis Driven by Hematopoietic Stem Cell-like Megakaryocyte Progenitors Hit paper breakdown → | 2015 | 294 |
| 5 | 2013 | 223 | |
| 6 | 2006 | 190 | |
| 7 | 2017 | 189 | |
| 8 | 2010 | 179 | |
| 9 | 2002 | 171 | |
| 10 | 2009 | 167 | |
| 11 | 2011 | 162 | |
| 12 | 2007 | 146 | |
| 13 | 2006 | 130 | |
| 14 | 2007 | 125 | |
| 15 | 2016 | 121 | |
| 16 | 2017 | 118 | |
| 17 | 2007 | 107 | |
| 18 | 1998 | 104 | |
| 19 | 2018 | 104 | |
| 20 | 2009 | 103 |
About Hartmut Geiger
Hartmut Geiger is a scholar working on Molecular Biology, Hematology, Immunology, General Health Professions and Genetics, having authored 195 papers that have together received 7.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (47 papers), Epigenetics and DNA Methylation (22 papers), Acute Myeloid Leukemia Research (17 papers), T-cell and B-cell Immunology (16 papers), DNA Repair Mechanisms (12 papers), Single-cell and spatial transcriptomics (12 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Hematology (2.2k citations), Aging (318 citations), Immunology (1.9k citations), Genetics (836 citations) and Molecular Biology (3.1k citations). Hartmut Geiger has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Maria Carolina Florian, Gary Van Zant, Yi Zheng, Gerald de Haan, Kalpana Nattamai, Matthias Gunzer, Deidre Daria, Shailaja Akunuru, Reinhold Schirmbeck and K. Lenhard Rudolph. Their work appears in journals such as Blood, Experimental Hematology, New England Journal of Medicine, Leukemia and Stem 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.