Libo Chen

443 citations
21 papers · 299 indexed · h-index 11

Impact in

Papers in

Libo Chen

20 papers receiving 298 citations

Peers

Libo Chen
Comparison fields: 5 of 35
  • Endocrinology, Diabetes and Metabolism 213
  • Cancer Research 49
  • Radiology, Nuclear Medicine and Imaging 56
  • Oncology 58
  • Molecular Biology 109
Replace Songfeng Wei with:
Songfeng Wei China
Patricia Borges de Souza Italy
Libo Chen China
Carmela Coccaro Italy
Rong-Liang Shi China
Teresa Ramone Italy
Carla Vaz Ferreira Brazil
Tomasz Trybek Poland
Yanan Xu China
Hans H G Verbeek Netherlands
Libo Chen relative to Songfeng Wei China Songfeng Wei's profile →
Citations per field
00.5×1.5×1.8×
Songfeng Wei · 1×
Citations per year

Countries citing papers authored by Libo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Libo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201745
2 201938
3 202128
4 200824
5 201524
6 202023
7 201822
8 202020
9 202014
10 201311
11 201610
12 20179
13 20208
14 20165
15 20245
16 20193
17 20223
18 20223
19 20252
20 20182

About Libo Chen

Libo Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 299 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (18 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Medical Imaging Techniques and Applications (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), S100 Proteins and Annexins (3 papers) and Thyroid Disorders and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (213 citations), Cancer Research (49 citations), Radiology, Nuclear Medicine and Imaging (56 citations), Oncology (58 citations) and Molecular Biology (109 citations). Libo Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuchen Jin, Min Liu, Maomei Ruan, Lin Cheng, Hao Fu, Qianggang Dong, Zhiyan Liu, Rui Liang, Hankui Lu and Quan‐Yong Luo. Their work appears in journals such as Scientific Reports, Molecular Therapy — Oncolytics, Medicine, Diabetes 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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