Xiaowei Ma

2.3k citations
49 papers · 1.6k · h-index 20

Impact in

Papers in

Xiaowei Ma

49 papers receiving 1.6k citations

Peers

Xiaowei Ma
Comparison fields: 5 of 94
  • Biomedical Engineering 691
  • Radiology, Nuclear Medicine and Imaging 315
  • Biomaterials 195
  • Immunology and Allergy 44
  • Oncology 195
Replace Haokao Gao with:
Haokao Gao China
Jelena Levi United States
Xilin Sun China
Jinxia Guo China
Lisa M. Mahakian United States
See‐Tong Pang Taiwan
Jinhua Zhao China
Mark E. Lobatto Netherlands
Sharon Bloch United States
Chenguang Li China
Xiaowei Ma relative to Haokao Gao China Haokao Gao's profile →
Citations per field
00.5×1.5×1.9×
Haokao Gao · 1×
Citations per year

Countries citing papers authored by Xiaowei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014342
2 2014235
3 2013160
4 201599
5 201483
6 201569
7 201364
8 201451
9 201444
10 201642
11 201639
12 201438
13 201634
14 201431
15 201728
16 201825
17 201624
18 201623
19 201520
20 201919

About Xiaowei Ma

Xiaowei Ma is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Biomedical Engineering and Materials Chemistry, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (11 papers), Nanoplatforms for cancer theranostics (10 papers), Peptidase Inhibition and Analysis (9 papers), Advanced biosensing and bioanalysis techniques (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Click Chemistry and Applications (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Biomedical Engineering (691 citations), Radiology, Nuclear Medicine and Imaging (315 citations), Biomaterials (195 citations), Immunology and Allergy (44 citations) and Oncology (195 citations). Xiaowei Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhen Cheng, Kai Cheng, Ruiping Zhang, Min Yang, Quli Fan, Wei Huang, Xiaomei Lü, Xiang Hu, Lei Xing and Lihong Bu. Their work appears in journals such as Journal of Nuclear Medicine, Molecular Pharmaceutics, Annals of Nuclear Medicine, Bioconjugate Chemistry and Biomaterials.

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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