Leonid Bystrykh

4.3k citations
74 papers · 2.9k indexed · h-index 27

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Epigenetics and DNA Methylation
    • Single-cell and spatial transcriptomics
    • Genomics and Chromatin Dynamics

Papers in

    • Hematopoietic Stem Cell Transplantation 19
    • Cancer Genomics and Diagnostics 12
    • MicroRNA in disease regulation 6

Leonid Bystrykh

72 papers receiving 2.9k citations

Peers

Leonid Bystrykh
Comparison fields: 5 of 131
  • Hematology 672
  • Molecular Biology 2.1k
  • Cancer Research 426
  • Genetics 561
  • Immunology 418
Replace Kiyotsugu Yoshida with:
Kiyotsugu Yoshida Japan
Yukio Okano Japan
Ramaswamy Narayanan United States
Hongzhi Miao United States
Xiaoling Song China
Jean Mosser France
Toshinori Ozaki Japan
Xiaobing Shi United States
Hanspeter Rottensteiner Austria
Leonid Bystrykh relative to Kiyotsugu Yoshida Japan Kiyotsugu Yoshida's profile →
Citations per field
00.5×2.7×
Kiyotsugu Yoshida · 1×
Citations per year

Countries citing papers authored by Leonid Bystrykh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Leonid Bystrykh Line = papers co-authored together Leonid Bystrykh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202163
2 20206
3 201910
4 201915
5 201925
6 20181
7 20181
8 201436
9 201422
10 201412
11 2013131
12 201378
13 201269
14 20123
15 2010188
16 20087
17 2005271
18 199028
19 199052
20 198814

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.

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