Peter Laslo
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation 6
- Immunology top 1%
- Immune Cell Function and Interaction 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Cancer Research top 1%
- Aging top 2%
- Hematology top 2%
- Acute Myeloid Leukemia Research 5
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- Amyotrophic Lateral Sclerosis Research 3
- Parkinson's Disease Mechanisms and Treatments 2
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- Neuroscience and Neuropharmacology Research 2
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- Blood disorders and treatments 2
- Co-authors
- Harinder SinghJason X. ChengChristopher BennerEric BertolinoChristopher K. GlassYin C. LinSven HeinzCornelis Murre
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
Peter Laslo
20 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 7.4k
- Immunology 2.0k
- Cancer Research 1.3k
- Aging 109
- Hematology 558
Countries citing papers authored by Peter Laslo
This map shows the geographic impact of Peter Laslo'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 Peter Laslo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Laslo more than expected).
Fields of papers citing papers by Peter Laslo
This network shows the impact of papers produced by Peter Laslo. 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 Peter Laslo. The network helps show where Peter Laslo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Laslo, 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 | 2022 | 7 | |
| 2 | 2021 | 10 | |
| 3 | 2019 | 2 | |
| 4 | 2013 | 23 | |
| 5 | 2012 | 36 | |
| 6 | 2011 | 81 | |
| 7 | Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identitiesbreakdown → | 2010 | 8320 |
| 8 | 2010 | 133 | |
| 9 | 2009 | 139 | |
| 10 | 2008 | 71 | |
| 11 | 2006 | 487 | |
| 12 | 2006 | 28 | |
| 13 | 2006 | 81 | |
| 14 | 2005 | 32 | |
| 15 | 2004 | 19 | |
| 16 | 2003 | 297 | |
| 17 | 2001 | 43 | |
| 18 | 2001 | 29 | |
| 19 | 2000 | 31 | |
| 20 | 1993 | 20 |
About Peter Laslo
Peter Laslo is a scholar working on Hematology, Immunology and Neurology, having authored 20 papers that have together received 9.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Acute Myeloid Leukemia Research (5 papers), Immune Cell Function and Interaction (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Blood disorders and treatments (2 papers). The work is most often cited by research in Molecular Biology (7.4k citations), Immunology (2.0k citations) and Cancer Research (1.3k citations). Peter Laslo has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Harinder Singh, Jason X. Cheng, Christopher Benner, Eric Bertolino, Christopher K. Glass, Yin C. Lin, Sven Heinz, Cornelis Murre, Nathanael J. Spann and D W Lancki. Their work appears in journals such as Leukemia, Neuroreport, Experimental Neurology, Seminars in Immunology and European Journal of Neuroscience.
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.