Martin Wahlestedt
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Hematology 11
- Hematopoietic Stem Cell Transplantation 7
- Acute Myeloid Leukemia Research 5
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- Epigenetics and DNA Methylation 6
- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 2
- Co-authors
- David Bryder (15 shared papers)Gudmundur L. Norddahl (8 shared papers)Amol Ugale (5 shared papers)Cornelis Jan Pronk (4 shared papers)Mikael Sigvardsson (3 shared papers)Jens Nygren (1 shared paper)Petter Säwén (4 shared papers)Shamit Soneji (2 shared papers)
- Journals
- Cell Reports (3 papers)Experimental Hematology (3 papers)Leukemia (2 papers)Stem Cells (1 paper)Nature Communications (1 paper)
- Partner nations
- SwedenUnited KingdomCanada
In The Last Decade
Martin Wahlestedt
15 papers receiving 554 citations
Peers
Comparison fields: 5 of 63
- Aging 53
- Hematology 271
- Immunology 141
- Molecular Biology 364
- Genetics 53
Countries citing papers authored by Martin Wahlestedt
This map shows the geographic impact of Martin Wahlestedt'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 Martin Wahlestedt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Wahlestedt more than expected).
Fields of papers citing papers by Martin Wahlestedt
This network shows the impact of papers produced by Martin Wahlestedt. 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 Martin Wahlestedt. The network helps show where Martin Wahlestedt may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Wahlestedt, 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 | 2011 | 198 | |
| 2 | 2013 | 78 | |
| 3 | 2017 | 58 | |
| 4 | 2017 | 43 | |
| 5 | 2014 | 41 | |
| 6 | 2017 | 37 | |
| 7 | 2014 | 30 | |
| 8 | 2014 | 22 | |
| 9 | 2017 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2012 | 11 | |
| 12 | 2012 | 10 | |
| 13 | 2016 | 6 | |
| 14 | 2022 | 1 | |
| 15 | 2014 | 1 |
About Martin Wahlestedt
Martin Wahlestedt is a scholar working on Hematology, Molecular Biology, Immunology, Oncology and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 560 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Epigenetics and DNA Methylation (6 papers), Acute Myeloid Leukemia Research (5 papers), Immune Cell Function and Interaction (5 papers), Pluripotent Stem Cells Research (4 papers), Acute Lymphoblastic Leukemia research (2 papers), CRISPR and Genetic Engineering (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Aging (53 citations), Hematology (271 citations), Immunology (141 citations), Molecular Biology (364 citations) and Genetics (53 citations). Martin Wahlestedt has collaborated with scholars based in Sweden, United Kingdom and Canada. Frequent co-authors include David Bryder, Gudmundur L. Norddahl, Amol Ugale, Cornelis Jan Pronk, Mikael Sigvardsson, Jens Nygren, Petter Säwén, Shamit Soneji, Tomas Deierborg and Ragnar Mattsson. Their work appears in journals such as Cell Reports, Experimental Hematology, Leukemia, Stem Cells and Nature Communications.
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.