Ihor R. Lemischka
- Hematology top 0.1%
- Hematopoietic Stem Cell Transplantation 21
- Genetics top 0.2%
- Developmental Neuroscience top 0.5%
- Molecular Biology top 0.2%
- Pluripotent Stem Cells Research 53
- CRISPR and Genetic Engineering 33
- Epigenetics and DNA Methylation 18
- Gene Regulatory Network Analysis 17
- Single-cell and spatial transcriptomics 12
- Immunology top 0.5%
- T-cell and B-cell Immunology 10
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- Zebrafish Biomedical Research Applications 11
- Co-authors
- Kateri MooreCraig T. JordanRichard C. MulliganChristoph SchanielJohn T. DimosDavid H. RauletJason A. HackneyBen D. MacArthur
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Ihor R. Lemischka
121 papers receiving 14.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Hematology 3.3k
- Genetics 1.9k
- Developmental Neuroscience 604
- Molecular Biology 10.0k
- Immunology 2.5k
Countries citing papers authored by Ihor R. Lemischka
This map shows the geographic impact of Ihor R. Lemischka'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 Ihor R. Lemischka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ihor R. Lemischka more than expected).
Fields of papers citing papers by Ihor R. Lemischka
This network shows the impact of papers produced by Ihor R. Lemischka. 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 Ihor R. Lemischka. The network helps show where Ihor R. Lemischka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ihor R. Lemischka, 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 | 15 | |
| 2 | 2019 | 10 | |
| 3 | 2018 | 44 | |
| 4 | 2017 | 5 | |
| 5 | 2016 | 30 | |
| 6 | 2016 | 29 | |
| 7 | 2015 | 169 | |
| 8 | 2015 | 43 | |
| 9 | 2014 | 69 | |
| 10 | 2013 | 156 | |
| 11 | 2013 | 158 | |
| 12 | 2011 | 54 | |
| 13 | 2011 | 282 | |
| 14 | 2009 | 15 | |
| 15 | 2008 | 18 | |
| 16 | 2008 | 1 | |
| 17 | 2008 | 15 | |
| 18 | 2004 | 25 | |
| 19 | 2002 | 171 | |
| 20 | A receptor tyrosine kinase specific to hematopoietic stem and progenitor cell-enriched populationsbreakdown → | 1991 | 484 |
About Ihor R. Lemischka
Ihor R. Lemischka is a scholar working on Hematology, Molecular Biology and Immunology and Allergy, having authored 121 papers that have together received 15.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (53 papers), CRISPR and Genetic Engineering (33 papers), Hematopoietic Stem Cell Transplantation (21 papers), Epigenetics and DNA Methylation (18 papers), Gene Regulatory Network Analysis (17 papers), Single-cell and spatial transcriptomics (12 papers), Zebrafish Biomedical Research Applications (11 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Hematology (3.3k citations), Genetics (1.9k citations) and Developmental Neuroscience (604 citations). Ihor R. Lemischka has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Kateri Moore, Craig T. Jordan, Richard C. Mulligan, Christoph Schaniel, John T. Dimos, David H. Raulet, Jason A. Hackney, Ben D. MacArthur, Н. Б. Иванова and Phillip A. Sharp. Their work appears in journals such as Nature, Science and Cell.
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.