Xiaoxia Li

609 citations
32 papers · 448 · h-index 10

Impact in

Papers in

Xiaoxia Li

27 papers receiving 439 citations

Peers

Xiaoxia Li
Comparison fields: 5 of 70
  • Cancer Research 83
  • Biomaterials 59
  • Hematology 50
  • Developmental Neuroscience 6
  • Cell Biology 25
Replace Christopher D. Duntsch with:
Christopher D. Duntsch United States
Sally H. Ditzler United States
Li-Ying Feng China
Neal Shah United States
John J. Grzesiak United States
Kaci A. Bohn United States
Diana Behrens Germany
Martina Da Ros Italy
Sylvie Avril France
Xiaoxia Li relative to Christopher D. Duntsch United States Christopher D. Duntsch's profile →
Citations per field
00.5×2×4×6.2×
Christopher D. Duntsch · 1×
Citations per year

Countries citing papers authored by Xiaoxia Li

Since Specialization
Citations

This map shows the geographic impact of Xiaoxia Li'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 Xiaoxia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxia Li more than expected).

Fields of papers citing papers by Xiaoxia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoxia Li. 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 Xiaoxia Li. The network helps show where Xiaoxia Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoxia Li, 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 Xiaoxia Li Line = papers co-authored together Xiaoxia Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021105
2 201960
3 201256
4 201850
5 201541
6 202121
7 201817
8 202417
9 202113
10 202410
11 20237
12 20186
13
Significance of nuclear magnetic resonance combined with Ki-67 and VEGF detection in the diagnosis and prognosis evaluation of brain glioma.
20196
14 20165
15 20245
16 20245
17 20234
18 20223
19 20243
20 20253

About Xiaoxia Li

Xiaoxia Li is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics and Cancer Research, having authored 32 papers that have together received 448 indexed citations. Recurring topics across this work include Blood disorders and treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Chromosomal and Genetic Variations (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Platelet Disorders and Treatments (2 papers), Renal cell carcinoma treatment (2 papers) and Erythropoietin and Anemia Treatment (1 paper). The work is most often cited by research in Cancer Research (83 citations), Biomaterials (59 citations), Hematology (50 citations), Developmental Neuroscience (6 citations) and Cell Biology (25 citations). Xiaoxia Li has collaborated with scholars based in China and United States. Frequent co-authors include Mawadda Alnaeeli, Barbora Piknova, Heather Marie Rogers, Constance Tom Noguchi, Guoxiang Liu, Juan He, Fenghua Xu, Bing Li, Guang Chen and Lina Yang. Their work appears in journals such as Academic Radiology, Cell Death and Disease, Agriculture Ecosystems & Environment, Journal of Cellular and Molecular Medicine and Nature Communications.

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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