Bing Shi

700 total citations
26 papers, 535 citations indexed

About

Bing Shi is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bing Shi has authored 26 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bing Shi's work include Renal cell carcinoma treatment (5 papers), Tuberous Sclerosis Complex Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Bing Shi is often cited by papers focused on Renal cell carcinoma treatment (5 papers), Tuberous Sclerosis Complex Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Bing Shi collaborates with scholars based in China, United States and Pakistan. Bing Shi's co-authors include Zhengyu Jin, Gumuyang Zhang, Huadan Xue, Hao Sun, Jogeshwar Mukherjee, J. Mantil, Eileen Kemether, Hao Sun, Monte S. Buchsbaum and Brad T. Christian and has published in prestigious journals such as The Journal of Urology, Journal of Cerebral Blood Flow & Metabolism and Plastic & Reconstructive Surgery.

In The Last Decade

Bing Shi

26 papers receiving 528 citations

Peers

Bing Shi
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 240
  • Pulmonary and Respiratory Medicine 198
  • Surgery 97
  • Molecular Biology 77
  • Cellular and Molecular Neuroscience 73
Replace Takayoshi Shinya with:
Takayoshi Shinya Japan
Yihui Guan China
Xavier Setoaín Spain
G. Petyt France
Keiichi Oda Japan
Joan Duch Spain
Gordon W. Blair United Kingdom
Ping Cai China
Supatporn Tepmongkol Thailand
Maria Ricci Italy
Takayoshi Shinya Japan View profile →
Citations per field, relative to Bing Shi
Bing Shi · 1×
Citations per year, relative to Bing Shi
Bing Shi · 1×

Countries citing papers authored by Bing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Bing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Shi. A scholar is included among the top collaborators of Bing Shi 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 Bing Shi. Bing Shi 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 13
2 1
3 11
4 12
5 59
6 6
7 28
8 12
9 29
10 33
11 25
12 8
13 22
14 53
15 3
16 11
17 10
18 101
19 26
20 4

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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