Leonid Bystrykh
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- Genomics and Chromatin Dynamics
Papers in
- Hematology 23
- Hematopoietic Stem Cell Transplantation 19
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- Cancer Genomics and Diagnostics 12
- MicroRNA in disease regulation 6
- Co-authors
- Gerald de HaanEllen WeersingBert DontjeMathilde BroekhuisErik ZwartLubbert DijkhuizenEvgenia VerovskayaRonald van Os
- Journals
- Experimental Hematology (10 papers)Blood (9 papers)Methods in enzymology on CD-ROM/Methods in enzymology (4 papers)European Journal of Biochemistry (3 papers)BMC Bioinformatics (3 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Leonid Bystrykh
72 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 131
- Hematology 672
- Molecular Biology 2.1k
- Cancer Research 426
- Genetics 561
- Immunology 418
Countries citing papers authored by Leonid Bystrykh
This map shows the geographic impact of Leonid Bystrykh'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 Leonid Bystrykh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonid Bystrykh more than expected).
Fields of papers citing papers by Leonid Bystrykh
This network shows the impact of papers produced by Leonid Bystrykh. 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 Leonid Bystrykh. The network helps show where Leonid Bystrykh may publish in the future.
Co-authors
The 25 scholars most cited alongside Leonid Bystrykh, 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 | 2021 | 63 | |
| 2 | 2020 | 6 | |
| 3 | 2019 | 10 | |
| 4 | 2019 | 15 | |
| 5 | 2019 | 25 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 1 | |
| 8 | 2014 | 36 | |
| 9 | 2014 | 22 | |
| 10 | 2014 | 12 | |
| 11 | 2013 | 131 | |
| 12 | 2013 | 78 | |
| 13 | 2012 | 69 | |
| 14 | 2012 | 3 | |
| 15 | 2010 | 188 | |
| 16 | 2008 | 7 | |
| 17 | 2005 | 271 | |
| 18 | 1990 | 28 | |
| 19 | 1990 | 52 | |
| 20 | 1988 | 14 |
About Leonid Bystrykh
Leonid Bystrykh is a scholar working on Hematology, Cancer Research, Molecular Biology, Biochemistry and Biotechnology, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (19 papers), Cancer Genomics and Diagnostics (12 papers), Epigenetics and DNA Methylation (12 papers), Single-cell and spatial transcriptomics (11 papers), Genomics and Chromatin Dynamics (9 papers), Microbial metabolism and enzyme function (7 papers), MicroRNA in disease regulation (6 papers) and Enzyme Catalysis and Immobilization (6 papers). The work is most often cited by research in Hematology (672 citations), Molecular Biology (2.1k citations), Cancer Research (426 citations), Genetics (561 citations) and Immunology (418 citations). Leonid Bystrykh has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gerald de Haan, Ellen Weersing, Bert Dontje, Mathilde Broekhuis, Erik Zwart, Lubbert Dijkhuizen, Evgenia Verovskaya, Ronald van Os, Martha Ritsema and A.M. Gerrits. Their work appears in journals such as Experimental Hematology, Blood, Methods in enzymology on CD-ROM/Methods in enzymology, European Journal of Biochemistry and BMC Bioinformatics.
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.