Kolja Eppert
- Hematology top 1%
- Acute Myeloid Leukemia Research 11
- Hematopoietic Stem Cell Transplantation 6
- Cancer Research top 5%
- MicroRNA in disease regulation 3
- Oncology top 5%
- Immunology top 5%
- Immune cells in cancer 4
- Immune Cell Function and Interaction 3
- Molecular Biology top 5%
- Histone Deacetylase Inhibitors Research 4
- Extracellular vesicles in disease 3
- Protein Degradation and Inhibitors 3
- Co-authors
- John E. DickEric R. LechmanIrene L. AndrulisFaiyaz NottaPeter van GalenJeffrey L. WranaStephen W. SchererHyeja Kim
- Cited by
- HematologyCancer ResearchOncology
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Kolja Eppert
25 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Hematology 985
- Cancer Research 491
- Oncology 841
- Immunology 605
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2020 | 37 | |
| 3 | 2019 | 30 | |
| 4 | 2018 | 60 | |
| 5 | 2016 | 115 | |
| 6 | 2016 | 0 | |
| 7 | 2016 | 1 | |
| 8 | 2016 | 15 | |
| 9 | 2014 | 53 | |
| 10 | 2014 | 260 | |
| 11 | 2013 | 1 | |
| 12 | Stem cell gene expression programs influence clinical outcome in human leukemiabreakdown → | 2011 | 740 |
| 13 | 2011 | 25 | |
| 14 | 2010 | 209 | |
| 15 | 2010 | 331 | |
| 16 | 2004 | 47 | |
| 17 | 2004 | 7 | |
| 18 | 1999 | 122 | |
| 19 | 1996 | 23 | |
| 20 | MADR2 Maps to 18q21 and Encodes a TGFβ–Regulated MAD–Related Protein That Is Functionally Mutated in Colorectal Carcinomabreakdown → | 1996 | 717 |
About Kolja Eppert
Kolja Eppert is a scholar working on Hematology, Immunology and Genetics, having authored 27 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Hematopoietic Stem Cell Transplantation (6 papers), Histone Deacetylase Inhibitors Research (4 papers), Immune cells in cancer (4 papers), Extracellular vesicles in disease (3 papers), Immune Cell Function and Interaction (3 papers), MicroRNA in disease regulation (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Hematology (985 citations), Cancer Research (491 citations) and Oncology (841 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, Stephen W. Scherer, Hyeja Kim, L.-C. Tsui and Gerald H. Thomsen. Their work appears in journals such as Blood, Experimental Hematology, Cell stem cell, Clinical Cancer Research and Nature Medicine.
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.