Kolja Eppert
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 5%
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 11
- Hematopoietic Stem Cell Transplantation 6
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- Histone Deacetylase Inhibitors Research 4
- Protein Degradation and Inhibitors 3
- Extracellular vesicles in disease 3
- Co-authors
- John E. Dick (15 shared papers)Eric R. Lechman (6 shared papers)Irene L. Andrulis (5 shared papers)Faiyaz Notta (3 shared papers)Peter van Galen (4 shared papers)Jeffrey L. Wrana (2 shared papers)Sergei Doulatov (1 shared paper)Linh T. Nguyen (1 shared paper)
- Journals
- Blood (9 papers)Experimental Hematology (3 papers)Cell stem cell (2 papers)Clinical Cancer Research (1 paper)Oncogene (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Kolja Eppert
26 papers receiving 3.2k citations
Kolja Eppert's Hit Papers
Peers
Comparison fields: 5 of 101
- Hematology 975
- Cancer Research 470
- Oncology 820
- Immunology 601
- Molecular Biology 1.8k
Countries citing papers authored by Kolja Eppert
This map shows the geographic impact of Kolja Eppert'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 Kolja Eppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kolja Eppert more than expected).
Fields of papers citing papers by Kolja Eppert
This network shows the impact of papers produced by Kolja Eppert. 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 Kolja Eppert. The network helps show where Kolja Eppert may publish in the future.
Co-authors
The 25 scholars most cited alongside Kolja Eppert, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stem cell gene expression programs influence clinical outcome in human leukemia Hit paper breakdown → | 2011 | 768 |
| 2 | MADR2 Maps to 18q21 and Encodes a TGFβ–Regulated MAD–Related Protein That Is Functionally Mutated in Colorectal Carcinoma Hit paper breakdown → | 1996 | 759 |
| 3 | 2010 | 357 | |
| 4 | 2014 | 266 | |
| 5 | 2010 | 222 | |
| 6 | 2010 | 214 | |
| 7 | 1999 | 131 | |
| 8 | 2016 | 119 | |
| 9 | 2016 | 82 | |
| 10 | 2018 | 60 | |
| 11 | 2014 | 54 | |
| 12 | 2004 | 47 | |
| 13 | 2020 | 40 | |
| 14 | 2019 | 33 | |
| 15 | 2011 | 28 | |
| 16 | 1996 | 24 | |
| 17 | 2016 | 17 | |
| 18 | 2004 | 7 | |
| 19 | 2010 | 6 | |
| 20 | 2018 | 2 |
About Kolja Eppert
Kolja Eppert is a scholar working on Hematology, Molecular Biology, Immunology, Oncology and Cancer Research, having authored 27 papers that have together received 3.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Hematopoietic Stem Cell Transplantation (6 papers), Immune cells in cancer (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Protein Degradation and Inhibitors (3 papers), Immune Cell Function and Interaction (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Hematology (975 citations), Cancer Research (470 citations), Oncology (820 citations), Immunology (601 citations) and Molecular Biology (1.8k citations). Kolja Eppert has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include John E. Dick, Eric R. Lechman, Irene L. Andrulis, Faiyaz Notta, Peter van Galen, Jeffrey L. Wrana, Sergei Doulatov, Linh T. Nguyen, Stephen W. Scherer and Pamela S. Ohashi. Their work appears in journals such as Blood, Experimental Hematology, Cell stem cell, Clinical Cancer Research and Oncogene.
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.