Xinming Zhao

1.1k citations
45 papers · 710 indexed · h-index 12

Xinming Zhao

44 papers receiving 700 citations

Peers

Xinming Zhao
Comparison fields: 5 of 62
  • Radiology, Nuclear Medicine and Imaging 530
  • Health Informatics 13
  • Pulmonary and Respiratory Medicine 297
  • Oncology 215
  • Cancer Research 78
Replace Poonam Yadav with:
Poonam Yadav United States
Mahmoud A. Abdalah United States
Hailiang Li China
Ilke Tunali United States
Wen Yu China
Chuanli Chen China
Silvia Girolama Drago Italy
Pingzhen Guo United States
Mohammadhadi Khorrami United States
Cristina T. Dodge United States
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Citations per year

Countries citing papers authored by Xinming Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xinming Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20241
5 20241
6 20243
7 20247
8 20243
9 20231
10 202326
11 20203
12 202035
13 20193
14 2019147
15 20187
16 201711
17 201415
18 201419
19
Comparative study on imaging of 99 Tcm-survivin mRNA antisense peptide nucleic acid in tumor and inflammation animal models
20111
20
Preparation of 99Tcm labeled survivin mRNA antisense PNA and gene imaging in nude mice bearing lung carcinoma A549 xenografts
20112

About Xinming Zhao

Xinming Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 710 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), Medical Imaging Techniques and Applications (6 papers), Peptidase Inhibition and Analysis (6 papers), Lung Cancer Treatments and Mutations (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), HER2/EGFR in Cancer Research (5 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (530 citations), Health Informatics (13 citations) and Pulmonary and Respiratory Medicine (297 citations). Xinming Zhao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jingmian Zhang, Jingya Han, Zhaoqi Zhang, Meng Dai, Jianyuan Zhang, Jianfang Wang, Yingchen Wang, Yan Zhao, Jie Tian and Jhanelle E. Gray. Their work appears in journals such as Nature Communications, Clinical Cancer Research and International Journal of Radiation Oncology*Biology*Physics.

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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