Sheng Shen

1.1k total citations
54 papers, 630 citations indexed

About

Sheng Shen is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Hepatology. According to data from OpenAlex, Sheng Shen has authored 54 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 14 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Hepatology. Recurrent topics in Sheng Shen's work include Advanced MRI Techniques and Applications (13 papers), Hepatitis B Virus Studies (12 papers) and Hepatitis C virus research (9 papers). Sheng Shen is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), Hepatitis B Virus Studies (12 papers) and Hepatitis C virus research (9 papers). Sheng Shen collaborates with scholars based in China, United States and Japan. Sheng Shen's co-authors include Haitao Guo, Hongyu Deng, Zheng Xu, Jian Sun, Jinlin Hou, Bo Qin, Huaqiang Zeng, Matthew S. Rosen, Rui Deng and Shi Liu and has published in prestigious journals such as PLoS ONE, Hepatology and Journal of Virology.

In The Last Decade

Sheng Shen

51 papers receiving 620 citations

Peers

Sheng Shen
Comparison fields: 5 of 96
  • Epidemiology 280
  • Hepatology 106
  • Molecular Biology 103
  • Radiology, Nuclear Medicine and Imaging 86
  • Oncology 82
Replace Andrea Urbani with:
Andrea Urbani Italy
Yi‐Chien Lee Taiwan
Julio Martín Spain
Katsumi Omagari Japan
Haekyung Lee United States
Zahid Hussain India
Haibo Li China
Jos Weusten Netherlands
Mukarram Jamat Ali United States
Motoi Nishimura Japan
Andrea Urbani Italy View profile →
Citations per field, relative to Sheng Shen
Sheng Shen · 1×
Citations per year, relative to Sheng Shen
Sheng Shen · 1×

Countries citing papers authored by Sheng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Shen. A scholar is included among the top collaborators of Sheng Shen 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 Sheng Shen. Sheng Shen 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 1
2 0
3 2
4 12
5 1
6 4
7 2
8 4
9 7
10 29
11 9
12 20
13 13
14 40
15 25
16 8
17 5
18 13
19 13
20
[Proportions and correlates of recent HIV infections among newly reported HIV/AIDS cases from 2005 through 2009 in Dehong prefecture, Yunnan province].
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.

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