Weiwei Zhan

2.6k citations
125 papers · 1.4k indexed · h-index 22

Impact in

Papers in

Weiwei Zhan

112 papers receiving 1.4k citations

Peers

Weiwei Zhan
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 448
  • Radiology, Nuclear Medicine and Imaging 594
  • Cancer Research 223
  • Health Informatics 19
  • Pathology and Forensic Medicine 147
Replace Martin Freesmeyer with:
Martin Freesmeyer Germany
Ah Young Park South Korea
Shingo Iwano Japan
Won Woo Lee South Korea
Susanne Klutmann Germany
Rosa Sciuto Italy
Mohamed Houseni United States
Francesco Fiz Italy
Alexandre Cochet France
Dae Chul Jung South Korea
Weiwei Zhan relative to Martin Freesmeyer Germany Martin Freesmeyer's profile →
Citations per field
00.5×4.8×
Martin Freesmeyer · 1×
Citations per year

Countries citing papers authored by Weiwei Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20244
5 20240
6 20241
7 202312
8 20230
9 20223
10 20222
11 202219
12 202026
13 20200
14 202019
15 20208
16 20190
17 201711
18 20166
19 201433
20 200712

About Weiwei Zhan

Weiwei Zhan is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 125 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (36 papers), Head and Neck Anomalies (21 papers), Thyroid and Parathyroid Surgery (19 papers), Ultrasound Imaging and Elastography (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Breast Cancer Treatment Studies (11 papers) and Breast Lesions and Carcinomas (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (448 citations), Radiology, Nuclear Medicine and Imaging (594 citations), Cancer Research (223 citations), Health Informatics (19 citations) and Pathology and Forensic Medicine (147 citations). Weiwei Zhan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yijie Dong, Shujun Xia, Wei Zhou, Chun Zhou, Jianqiao Zhou, Shangyan Xu, Jianqiao Zhou, Zhifang Yang, Cai Chang and Edward G. Grant. Their work appears in journals such as Journal of Ultrasound in Medicine, Frontiers in Oncology, Ultrasound in Medicine & Biology, European Radiology and Clinical Radiology.

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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