Shibiao Sang

429 total citations
35 papers, 280 citations indexed

About

Shibiao Sang is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shibiao Sang has authored 35 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Oncology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shibiao Sang's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (11 papers) and Lymphoma Diagnosis and Treatment (9 papers). Shibiao Sang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (11 papers) and Lymphoma Diagnosis and Treatment (9 papers). Shibiao Sang collaborates with scholars based in China, United States and Germany. Shibiao Sang's co-authors include Jihui Li, Shengming Deng, Bin Zhang, Shushan Ge, Chunhong Hu, Qingru Li, Tongtong Jia, Na Dai, Yi Yang and Xiaoyi Zhang and has published in prestigious journals such as Journal of Medicinal Chemistry, Molecules and Cancer Letters.

In The Last Decade

Shibiao Sang

33 papers receiving 279 citations

Peers

Shibiao Sang
Comparison fields: 5 of 44
  • Radiology, Nuclear Medicine and Imaging 156
  • Oncology 137
  • Pulmonary and Respiratory Medicine 89
  • Pathology and Forensic Medicine 78
  • Molecular Biology 34
Replace Hoda Anwar with:
Hoda Anwar Germany
Lia Palomba United States
R. Wei United States
Diana Libster Israel
Larissa Mendes United Kingdom
CarolL Shields United States
Kelley V. Foyil United States
Shung‐Haur Yang Taiwan
Madhavi Kurli United States
Nian Lu China
Hoda Anwar Germany View profile →
Citations per field, relative to Shibiao Sang
Shibiao Sang · 1×
Citations per year, relative to Shibiao Sang
Shibiao Sang · 1×

Countries citing papers authored by Shibiao Sang

Since Specialization
Citations

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

Fields of papers citing papers by Shibiao Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibiao Sang

This figure shows the co-authorship network connecting the top 25 collaborators of Shibiao Sang. A scholar is included among the top collaborators of Shibiao Sang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shibiao Sang. Shibiao Sang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 0
4 5
5 3
6 5
7 0
8 6
9 1
10 9
11 1
12 17
13 7
14 3
15 22
16 18
17 13
18 28
19 20
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026