Daniel Xia

916 citations
33 papers · 670 · h-index 11

Impact in

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
    • Chronic Lymphocytic Leukemia Research 3
    • Glioma Diagnosis and Treatment 2
    • Acute Myeloid Leukemia Research 5
    • Chronic Myeloid Leukemia Treatments 3

Daniel Xia

29 papers receiving 657 citations

Peers

Daniel Xia
Comparison fields: 5 of 82
  • Genetics 219
  • Cancer Research 108
  • Radiology, Nuclear Medicine and Imaging 83
  • Oncology 96
  • Molecular Biology 252
Replace Leili Mirsadraei with:
Leili Mirsadraei United States
Ali Nael United States
Ann C. Goussia Greece
H. Ian Robins United States
Maxime Fontanilles France
Sameer A. Greenall Australia
Benjamin A. Greenberger United States
Konstantinos Beroukas Greece
Hiromi Kanno Japan
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Citations per field
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Leili Mirsadraei · 1×
Citations per year

Countries citing papers authored by Daniel Xia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Xia Line = papers co-authored together Daniel Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018249
2 2008102
3 201061
4 202035
5 202026
6 201625
7 201425
8 201819
9 201715
10 201614
11 201814
12 201711
13 201711
14 201810
15 20197
16 20217
17 20226
18 20236
19 20215
20 20214

About Daniel Xia

Daniel Xia is a scholar working on Genetics, Hematology, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 33 papers that have together received 670 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Acute Myeloid Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Reservoir Engineering and Simulation Methods (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (219 citations), Cancer Research (108 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Oncology (96 citations) and Molecular Biology (252 citations). Daniel Xia has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Neal Ian Lindeman, Jerrold L. Abraham, Kenneth Aldape, Gelareh Mohammed Zadeh, Alireza Mansouri, Laureen D. Hachem, Monika E. Hegi, Farshad Nassiri, Sheila Mansouri and Roger Stupp. Their work appears in journals such as American Journal of Clinical Pathology, American Journal of Hematology, Journal of Molecular Diagnostics, Neuro-Oncology 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.

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