Isabel Beerman
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 6
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 16
- Acute Myeloid Leukemia Research 8
- Immunology top 2%
- Immune Cell Function and Interaction 6
- Genetics top 2%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 12
- Pluripotent Stem Cells Research 5
- Single-cell and spatial transcriptomics 4
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- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Derrick J. RossiIrving L. WeissmanWilliam J. MaloneyDebashis SahooElizabeth PriceStanley L. SchrierWendy W. PangAlexander Meissner
- Cited by
- AgingHematologyImmunology
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Isabel Beerman
42 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 177
- Hematology 1.1k
- Immunology 967
- Genetics 408
- Molecular Biology 1.6k
Countries citing papers authored by Isabel Beerman
This map shows the geographic impact of Isabel Beerman'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 Isabel Beerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Beerman more than expected).
Fields of papers citing papers by Isabel Beerman
This network shows the impact of papers produced by Isabel Beerman. 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 Isabel Beerman. The network helps show where Isabel Beerman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Isabel Beerman, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 15 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 3 | |
| 14 | 2019 | 40 | |
| 15 | 2018 | 28 | |
| 16 | 2016 | 3 | |
| 17 | 2014 | 326 | |
| 18 | 2014 | 46 | |
| 19 | Functionally distinct hematopoietic stem cells modulate hematopoietic lineage potential during aging by a mechanism of clonal expansionbreakdown → | 2010 | 506 |
| 20 | 2006 | 10 |
About Isabel Beerman
Isabel Beerman is a scholar working on Aging, Hematology and Geriatrics and Gerontology, having authored 45 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), Epigenetics and DNA Methylation (12 papers), Acute Myeloid Leukemia Research (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Immune Cell Function and Interaction (6 papers), Telomeres, Telomerase, and Senescence (5 papers), Pluripotent Stem Cells Research (5 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Aging (177 citations), Hematology (1.1k citations) and Immunology (967 citations). Isabel Beerman has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Derrick J. Rossi, Irving L. Weissman, William J. Maloney, Debashis Sahoo, Elizabeth Price, Stanley L. Schrier, Wendy W. Pang, Alexander Meissner, Zachary D. Smith and Hongcang Gu. Their work appears in journals such as GeroScience, Experimental Hematology, Cell stem cell, Blood 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.