Kolja Eppert

6.5k total citations · 2 hit papers
27 papers, 3.1k citations indexed

About

Kolja Eppert is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Kolja Eppert has authored 27 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Hematology and 7 papers in Immunology. Recurrent topics in Kolja Eppert's work include Acute Myeloid Leukemia Research (11 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Histone Deacetylase Inhibitors Research (4 papers). Kolja Eppert is often cited by papers focused on Acute Myeloid Leukemia Research (11 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Histone Deacetylase Inhibitors Research (4 papers). Kolja Eppert collaborates with scholars based in Canada, United States and Germany. Kolja Eppert's co-authors include John E. Dick, Eric R. Lechman, Irene L. Andrulis, Faiyaz Notta, Peter van Galen, Jeffrey L. Wrana, Stephen W. Scherer, Pamela S. Ohashi, Pamela A. Hoodless and Gerald H. Thomsen and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Kolja Eppert

25 papers receiving 3.1k citations

Hit Papers

Stem cell gene expression programs influenc... 1996 2026 2006 2016 2011 1996 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kolja Eppert Canada 16 1.8k 985 841 605 491 27 3.1k
Maria Luisa Sulis United States 19 2.2k 1.2× 764 0.8× 638 0.8× 399 0.7× 367 0.7× 52 3.2k
Silvia Buonamici United States 24 2.2k 1.2× 1.1k 1.1× 475 0.6× 403 0.7× 370 0.8× 55 3.0k
Blanca Scheijen Netherlands 24 1.5k 0.8× 566 0.6× 615 0.7× 311 0.5× 259 0.5× 53 2.6k
Kristina Anderson Sweden 21 2.1k 1.1× 2.1k 2.1× 891 1.1× 1.1k 1.9× 654 1.3× 30 4.1k
Cristina E. Tognon United States 26 2.0k 1.1× 691 0.7× 980 1.2× 243 0.4× 705 1.4× 81 3.6k
Norihiko Kawamata Japan 38 2.2k 1.2× 745 0.8× 1.4k 1.6× 467 0.8× 588 1.2× 96 4.0k
Doris Steinemann Germany 31 1.6k 0.9× 445 0.5× 551 0.7× 298 0.5× 505 1.0× 127 2.8k
Bart Lutterbach United States 23 2.5k 1.4× 1.0k 1.0× 653 0.8× 246 0.4× 263 0.5× 29 3.1k
Benjamin S. Braun United States 29 1.8k 1.0× 985 1.0× 615 0.7× 363 0.6× 257 0.5× 50 3.2k
Simona Colla United States 26 2.0k 1.1× 2.2k 2.2× 1.4k 1.6× 461 0.8× 444 0.9× 78 3.5k

Countries citing papers authored by Kolja Eppert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kolja Eppert

This figure shows the co-authorship network connecting the top 25 collaborators of Kolja Eppert. A scholar is included among the top collaborators of Kolja Eppert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kolja Eppert. Kolja Eppert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jenner, Adrianne L., et al.. (2024). Mathematical modelling of clonal reduction therapeutic strategies in acute myeloid leukemia. Leukemia Research. 140. 107485–107485. 1 indexed citations
2.
Ho, Jenny, Stephanie M. Dobson, Véronique Voisin, et al.. (2020). CD200 expression marks leukemia stem cells in human AML. Blood Advances. 4(21). 5402–5413. 37 indexed citations
3.
Abdulkarim, Bassam, Brian Meehan, Janusz Rak, et al.. (2019). Mechanisms and Antitumor Activity of a Binary EGFR/DNA–Targeting Strategy Overcomes Resistance of Glioblastoma Stem Cells to Temozolomide. Clinical Cancer Research. 25(24). 7594–7608. 30 indexed citations
4.
Laverdière, Isabelle, Meaghan Boileau, Andrea Neumann, et al.. (2018). Leukemic stem cell signatures identify novel therapeutics targeting acute myeloid leukemia. Blood Cancer Journal. 8(6). 52–52. 60 indexed citations
5.
Pabst, Caroline, Anne Bergeron, Vincent‐Philippe Lavallée, et al.. (2016). GPR56 identifies primary human acute myeloid leukemia cells with high repopulating potential in vivo. Blood. 127(16). 2018–2027. 115 indexed citations
6.
Duncan, Heather M., Karin G. Hermans, Isabelle Laverdière, et al.. (2016). G protein-coupled receptor 56 as a potential regulator of normal and leukemic stem cells. Experimental Hematology. 44(9). S68–S68.
7.
Ho, Jenny, Stephanie M. Dobson, Jessica McLeod, et al.. (2016). CD200 Is a Marker of LSC Activity in Acute Myeloid Leukemia. Blood. 128(22). 1705–1705. 2 indexed citations
8.
Boileau, Meaghan, Isabelle Laverdière, Amanda Mitchell, et al.. (2016). Identification of existing bioactive molecules that target acute myeloid leukemia stem cells. Experimental Hematology. 44(9). S60–S61. 1 indexed citations
9.
Laverdière, Isabelle, Meaghan Boileau, Tobias Herold, et al.. (2016). Complement cascade gene expression defines novel prognostic subgroups of acute myeloid leukemia. Experimental Hematology. 44(11). 1039–1043.e10. 15 indexed citations
10.
Laverdière, Isabelle, Andrea Neumann, Meaghan Boileau, et al.. (2015). Identification of Existing Bioactive Compounds That Target Acute Myeloid Leukemia Stem Cells. Blood. 126(23). 3681–3681. 1 indexed citations
11.
Galen, Peter van, Antonija Kreso, Erno Wienholds, et al.. (2014). Reduced Lymphoid Lineage Priming Promotes Human Hematopoietic Stem Cell Expansion. Cell stem cell. 14(1). 94–106. 53 indexed citations
12.
Galen, Peter van, Antonija Kreso, Nathan Mbong, et al.. (2014). The unfolded protein response governs integrity of the haematopoietic stem-cell pool during stress. Nature. 510(7504). 268–272. 260 indexed citations
13.
Eppert, Kolja, Katsuto Takenaka, Eric R. Lechman, et al.. (2011). Stem cell gene expression programs influence clinical outcome in human leukemia. Nature Medicine. 17(9). 1086–1093. 740 indexed citations breakdown →
14.
McDermott, Sean, Kolja Eppert, Faiyaz Notta, et al.. (2011). A small molecule screening strategy with validation on human leukemia stem cells uncovers the therapeutic efficacy of kinetin riboside. Blood. 119(5). 1200–1207. 25 indexed citations
15.
McDermott, Sean, Kolja Eppert, Eric R. Lechman, Monica Doedens, & John E. Dick. (2010). Comparison of human cord blood engraftment between immunocompromised mouse strains. Blood. 116(2). 193–200. 207 indexed citations
16.
Milyavsky, Michael, Olga I. Gan, Magan Trottier, et al.. (2010). A Distinctive DNA Damage Response in Human Hematopoietic Stem Cells Reveals an Apoptosis-Independent Role for p53 in Self-Renewal. Cell stem cell. 7(2). 186–197. 209 indexed citations
17.
Eppert, Kolja, et al.. (2004). von Willebrand factor expression in osteosarcoma metastasis. Modern Pathology. 18(3). 388–397. 47 indexed citations
18.
Eppert, Kolja, et al.. (2004). Altered expression and deletion of RMO1 in osteosarcoma. International Journal of Cancer. 114(5). 738–746. 7 indexed citations
19.
Wunder, Jay S., et al.. (1999). Co-amplification and overexpression of CDK4, SAS and MDM2 occurs frequently in human parosteal osteosarcomas. Oncogene. 18(3). 783–788. 122 indexed citations
20.
Kandel, Rita A., et al.. (1996). SAS is amplified predominantly in surface osteosarcoma. Journal of Orthopaedic Research®. 14(5). 700–705. 23 indexed citations

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.

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