Peter M. Lansdorp
Impact in
- Aging top 0.02%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 0.02%
- Telomeres, Telomerase, and Senescence
Papers in
- Aging 14
- Physiology 137
- Telomeres, Telomerase, and Senescence 131
- Co-authors
- Wieslawa H. DragowskaGeraldine AubertGabriela M. BaerlocherM. Prakash HandeConnie J. EavesSteven S.S. PoonIrma VultoMarı́a A. Blasco
- Journals
- Blood (37 papers)Proceedings of the National Academy of Sciences (14 papers)Annals of the New York Academy of Sciences (9 papers)Molecular and Cellular Biology (7 papers)Stem Cells (6 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Peter M. Lansdorp
269 papers receiving 30.0k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Aging 2.5k
- Physiology 13.5k
- Hematology 4.5k
- Genetics 3.1k
- Immunology 5.4k
Countries citing papers authored by Peter M. Lansdorp
This map shows the geographic impact of Peter M. Lansdorp'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 M. Lansdorp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Lansdorp more than expected).
Fields of papers citing papers by Peter M. Lansdorp
This network shows the impact of papers produced by Peter M. Lansdorp. 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 M. Lansdorp. The network helps show where Peter M. Lansdorp may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter M. Lansdorp, 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 | 2023 | 13 | |
| 2 | 2022 | 27 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 54 | |
| 5 | 2019 | 81 | |
| 6 | 2019 | 29 | |
| 7 | 2015 | 42 | |
| 8 | 2012 | 18 | |
| 9 | 2009 | 125 | |
| 10 | 2009 | 32 | |
| 11 | Short telomeres are a risk factor for idiopathic pulmonary fibrosis Hit paper breakdown → | 2008 | 553 |
| 12 | 2008 | 285 | |
| 13 | 2007 | 248 | |
| 14 | 2006 | 96 | |
| 15 | 2000 | 2 | |
| 16 | 1996 | 20 | |
| 17 | Characterization of monoclonal antibodies to epithelial antigens expressed on breast cancer cells and absent on hematopoietic cells | 1995 | 2 |
| 18 | 1993 | 5 | |
| 19 | 1993 | 7 | |
| 20 | 1992 | 2 |
About Peter M. Lansdorp
Peter M. Lansdorp is a scholar working on Aging, Physiology, Hematology, Genetics and Molecular Biology, having authored 272 papers that have together received 30.8k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (131 papers), DNA Repair Mechanisms (35 papers), Chromosomal and Genetic Variations (34 papers), Advanced biosensing and bioanalysis techniques (33 papers), Mesenchymal stem cell research (32 papers), Hematopoietic Stem Cell Transplantation (28 papers), Single-cell and spatial transcriptomics (25 papers) and Cytomegalovirus and herpesvirus research (22 papers). The work is most often cited by research in Aging (2.5k citations), Physiology (13.5k citations), Hematology (4.5k citations), Genetics (3.1k citations) and Immunology (5.4k citations). Peter M. Lansdorp has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Wieslawa H. Dragowska, Geraldine Aubert, Gabriela M. Baerlocher, M. Prakash Hande, Connie J. Eaves, Steven S.S. Poon, Irma Vulto, Marı́a A. Blasco, Enrique Samper and Carol W. Greider. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Annals of the New York Academy of Sciences, Molecular and Cellular Biology 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.