Emily Mitchell
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Single-cell and spatial transcriptomics 5
- CRISPR and Genetic Engineering 3
- DNA Repair Mechanisms 1
- Hematology 11
- Acute Myeloid Leukemia Research 9
- Hematopoietic Stem Cell Transplantation 2
- Co-authors
- Jyoti Nangalia (9 shared papers)Peter J. Campbell (10 shared papers)Nicholas Williams (7 shared papers)Luiza Moore (4 shared papers)Kevin J. Dawson (4 shared papers)Anthony R. Green (4 shared papers)James Hewinson (3 shared papers)Anna L. Godfrey (3 shared papers)
- Journals
- Blood (6 papers)Nature Genetics (2 papers)Nature (2 papers)PLoS ONE (1 paper)Nature Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Emily Mitchell
18 papers receiving 534 citations
Emily Mitchell's Hit Papers
Peers
Comparison fields: 5 of 60
- Hematology 179
- Genetics 134
- Cancer Research 162
- Aging 11
- Molecular Biology 246
Countries citing papers authored by Emily Mitchell
This map shows the geographic impact of Emily Mitchell'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 Emily Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Mitchell more than expected).
Fields of papers citing papers by Emily Mitchell
This network shows the impact of papers produced by Emily Mitchell. 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 Emily Mitchell. The network helps show where Emily Mitchell may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily Mitchell, 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 | Life histories of myeloproliferative neoplasms inferred from phylogenies. Hit paper breakdown → | 2022 | 152 |
| 2 | 2021 | 95 | |
| 3 | 2021 | 90 | |
| 4 | 2024 | 45 | |
| 5 | 2023 | 33 | |
| 6 | 2018 | 25 | |
| 7 | 2023 | 23 | |
| 8 | 2021 | 19 | |
| 9 | 2024 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2023 | 11 | |
| 12 | 2019 | 6 | |
| 13 | 2021 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2019 | 0 | |
| 20 | 2025 | 0 |
About Emily Mitchell
Emily Mitchell is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Genetics, having authored 20 papers that have together received 537 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Acute Myeloid Leukemia Research (9 papers), Single-cell and spatial transcriptomics (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), CRISPR and Genetic Engineering (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Virus-based gene therapy research (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Hematology (179 citations), Genetics (134 citations), Cancer Research (162 citations), Aging (11 citations) and Molecular Biology (246 citations). Emily Mitchell has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Jyoti Nangalia, Peter J. Campbell, Nicholas Williams, Luiza Moore, Kevin J. Dawson, Anthony R. Green, James Hewinson, Anna L. Godfrey, Michael Spencer Chapman and Joe Lee. Their work appears in journals such as Blood, Nature Genetics, Nature, PLoS ONE and Nature Medicine.
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.