Xiaoli Mi
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Cancer-related gene regulation 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Single-cell and spatial transcriptomics 1
-
- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Omar Abdel‐Wahab (6 shared papers)Justin Taylor (3 shared papers)Alexander Penson (2 shared papers)Eytan M. Stein (3 shared papers)Khrystyna North (1 shared paper)Peter Boyle (1 shared paper)Zachary D. Smith (1 shared paper)Hongcang Gu (1 shared paper)
- Journals
- Blood (3 papers)American Journal of Hematology (1 paper)JCO Precision Oncology (1 paper)The Journal of Experimental Medicine (1 paper)eLife (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Xiaoli Mi
11 papers receiving 185 citations
Peers
Comparison fields: 5 of 33
- Hematology 98
- Genetics 32
- Molecular Biology 118
- Public Health, Environmental and Occupational Health 33
- Oncology 22
Countries citing papers authored by Xiaoli Mi
This map shows the geographic impact of Xiaoli Mi'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 Xiaoli Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Mi more than expected).
Fields of papers citing papers by Xiaoli Mi
This network shows the impact of papers produced by Xiaoli Mi. 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 Xiaoli Mi. The network helps show where Xiaoli Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Mi, 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 | 2020 | 38 | |
| 2 | 2023 | 36 | |
| 3 | 2018 | 34 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 23 | |
| 6 | 2020 | 14 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 |
About Xiaoli Mi
Xiaoli Mi is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Ocean Engineering, having authored 11 papers that have together received 187 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cancer-related gene regulation (2 papers), CAR-T cell therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Single-cell and spatial transcriptomics (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (98 citations), Genetics (32 citations), Molecular Biology (118 citations), Public Health, Environmental and Occupational Health (33 citations) and Oncology (22 citations). Xiaoli Mi has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Omar Abdel‐Wahab, Justin Taylor, Alexander Penson, Eytan M. Stein, Khrystyna North, Peter Boyle, Zachary D. Smith, Hongcang Gu, Jessie Bourcier and Daniel H. Wiseman. Their work appears in journals such as Blood, American Journal of Hematology, JCO Precision Oncology, The Journal of Experimental Medicine and eLife.
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.