Lev Silberstein
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
Papers in
- Hematology 17
- Hematopoietic Stem Cell Transplantation 16
- Acute Myeloid Leukemia Research 1
- Genetics 2
- Chronic Lymphocytic Leukemia Research 1
- Co-authors
- David T. Scadden (9 shared papers)Peter V. Kharchenko (4 shared papers)Juwell W. Wu (2 shared papers)Daniel C. Côté (2 shared papers)Charles P. Lin (4 shared papers)Tatsuyuki Sato (1 shared paper)Joji Fujisaki (1 shared paper)Prabhakar Putheti (1 shared paper)
- Journals
- Blood (4 papers)Cell (3 papers)Nature (2 papers)Cell stem cell (2 papers)Stem Cells (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Lev Silberstein
20 papers receiving 2.3k citations
Lev Silberstein's Hit Papers
Peers
Comparison fields: 5 of 92
- Hematology 660
- Molecular Biology 1.1k
- Genetics 104
- Immunology 230
- Developmental Neuroscience 23
Countries citing papers authored by Lev Silberstein
This map shows the geographic impact of Lev Silberstein'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 Lev Silberstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lev Silberstein more than expected).
Fields of papers citing papers by Lev Silberstein
This network shows the impact of papers produced by Lev Silberstein. 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 Lev Silberstein. The network helps show where Lev Silberstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Lev Silberstein, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bayesian approach to single-cell differential expression analysis Hit paper breakdown → | 2014 | 917 |
| 2 | In vivo imaging of Treg cells providing immune privilege to the haematopoietic stem-cell niche Hit paper breakdown → | 2011 | 479 |
| 3 | 2015 | 191 | |
| 4 | 2016 | 153 | |
| 5 | 2013 | 138 | |
| 6 | 2016 | 129 | |
| 7 | 2013 | 123 | |
| 8 | 2020 | 52 | |
| 9 | 2005 | 30 | |
| 10 | 2015 | 19 | |
| 11 | 2006 | 16 | |
| 12 | 2017 | 14 | |
| 13 | 2018 | 11 | |
| 14 | 2009 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2025 | 3 | |
| 17 | 2013 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2026 | 2 | |
| 20 | 2014 | 1 |
About Lev Silberstein
Lev Silberstein is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Biophysics, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), Genomics and Chromatin Dynamics (3 papers), T-cell and B-cell Immunology (2 papers), Pluripotent Stem Cells Research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Neurobiology and Insect Physiology Research (1 paper), Acute Myeloid Leukemia Research (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Hematology (660 citations), Molecular Biology (1.1k citations), Genetics (104 citations), Immunology (230 citations) and Developmental Neuroscience (23 citations). Lev Silberstein has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include David T. Scadden, Peter V. Kharchenko, Juwell W. Wu, Daniel C. Côté, Charles P. Lin, Tatsuyuki Sato, Joji Fujisaki, Prabhakar Putheti, Alicia L. Carlson and Cristina Lo Celso. Their work appears in journals such as Blood, Cell, Nature, Cell stem cell and Stem Cells.
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.