Sara E. Meyer
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 15
- Chronic Myeloid Leukemia Treatments 3
-
- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 3
- Co-authors
- H. Leighton Grimes (8 shared papers)Susan Eileen Waltz (4 shared papers)Mitsuhiro Ito (1 shared paper)Robert G. Roeder (1 shared paper)Pingping Jiang (1 shared paper)Qiuping Hu (1 shared paper)Xiaoting Zhang (1 shared paper)SA Khan (1 shared paper)
- Journals
- Blood (6 papers)Leukemia (2 papers)Developmental Biology (1 paper)Journal of Cellular Physiology (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Sara E. Meyer
21 papers receiving 762 citations
Sara E. Meyer's Hit Papers
Peers
Comparison fields: 5 of 71
- Hematology 367
- Cancer Research 169
- Genetics 106
- Molecular Biology 424
- Immunology 112
Countries citing papers authored by Sara E. Meyer
This map shows the geographic impact of Sara E. Meyer'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 Sara E. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara E. Meyer more than expected).
Fields of papers citing papers by Sara E. Meyer
This network shows the impact of papers produced by Sara E. Meyer. 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 Sara E. Meyer. The network helps show where Sara E. Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara E. Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell mutation analysis of clonal evolution in myeloid malignancies Hit paper breakdown → | 2020 | 374 |
| 2 | 2016 | 82 | |
| 3 | 2010 | 70 | |
| 4 | 2013 | 40 | |
| 5 | 2012 | 39 | |
| 6 | 2020 | 26 | |
| 7 | 2018 | 23 | |
| 8 | 2010 | 21 | |
| 9 | 2009 | 20 | |
| 10 | 2022 | 15 | |
| 11 | 2024 | 13 | |
| 12 | 2024 | 9 | |
| 13 | 2020 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2009 | 6 | |
| 16 | 2010 | 5 | |
| 17 | 2011 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2011 | 1 |
About Sara E. Meyer
Sara E. Meyer is a scholar working on Hematology, Cancer Research, Immunology, Genetics and Genetics, having authored 23 papers that have together received 769 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Cancer Genomics and Diagnostics (3 papers), RNA Interference and Gene Delivery (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Blood disorders and treatments (3 papers), MicroRNA in disease regulation (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Hematology (367 citations), Cancer Research (169 citations), Genetics (106 citations), Molecular Biology (424 citations) and Immunology (112 citations). Sara E. Meyer has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include H. Leighton Grimes, Susan Eileen Waltz, Mitsuhiro Ito, Robert G. Roeder, Pingping Jiang, Qiuping Hu, Xiaoting Zhang, SA Khan, S. Steven Potter and Bliss Magella. Their work appears in journals such as Blood, Leukemia, Developmental Biology, Journal of Cellular Physiology and Cancer Discovery.
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.