Daniel Xia
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Cancer Genomics and Diagnostics
Papers in ⓘ
- Genetics 11
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Chronic Lymphocytic Leukemia Research 4
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- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Neal I. Lindeman (3 shared papers)Gelareh Zadeh (2 shared papers)Kenneth Aldape (3 shared papers)Patrick Y. Wen (1 shared paper)Monika E. Hegi (1 shared paper)Laureen D. Hachem (1 shared paper)Farshad Nassiri (1 shared paper)Alireza Mansouri (1 shared paper)
- Journals
- American Journal of Clinical Pathology (5 papers)American Journal of Hematology (3 papers)Journal of Molecular Diagnostics (2 papers)Scientific Reports (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Daniel Xia
25 papers receiving 521 citations
Peers
Comparison fields: 5 of 77
- Genetics 203
- Cancer Research 112
- Radiology, Nuclear Medicine and Imaging 93
- Molecular Biology 264
- Oncology 72
Countries citing papers authored by Daniel Xia
This map shows the geographic impact of Daniel Xia'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 Daniel Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Xia more than expected).
Fields of papers citing papers by Daniel Xia
This network shows the impact of papers produced by Daniel Xia. 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 Daniel Xia. The network helps show where Daniel Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Xia, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 217 | |
| 2 | 2008 | 102 | |
| 3 | 2010 | 58 | |
| 4 | 2020 | 22 | |
| 5 | 2016 | 22 | |
| 6 | 2018 | 17 | |
| 7 | 2016 | 13 | |
| 8 | 2017 | 10 | |
| 9 | 2018 | 10 | |
| 10 | 2017 | 10 | |
| 11 | 2018 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 2 |
About Daniel Xia
Daniel Xia is a scholar working on Genetics, Hematology, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 29 papers that have together received 529 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Acute Myeloid Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Epigenetics and DNA Methylation (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Genetics (203 citations), Cancer Research (112 citations), Radiology, Nuclear Medicine and Imaging (93 citations), Molecular Biology (264 citations) and Oncology (72 citations). Daniel Xia has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Neal I. Lindeman, Gelareh Zadeh, Kenneth Aldape, Patrick Y. Wen, Monika E. Hegi, Laureen D. Hachem, Farshad Nassiri, Alireza Mansouri, Minesh P. Mehta and Arnab Chakravarti. Their work appears in journals such as American Journal of Clinical Pathology, American Journal of Hematology, Journal of Molecular Diagnostics, Scientific Reports and Molecular Cell.
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.