Jing Shen

999 total citations · 1 hit paper
40 papers, 715 citations indexed

About

Jing Shen is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Jing Shen has authored 40 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 9 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Jing Shen's work include Mycobacterium research and diagnosis (7 papers), Tuberculosis Research and Epidemiology (5 papers) and Intracerebral and Subarachnoid Hemorrhage Research (4 papers). Jing Shen is often cited by papers focused on Mycobacterium research and diagnosis (7 papers), Tuberculosis Research and Epidemiology (5 papers) and Intracerebral and Subarachnoid Hemorrhage Research (4 papers). Jing Shen collaborates with scholars based in China, Taiwan and United States. Jing Shen's co-authors include Rung-Jiun Chou, Zhenfu Li, Jiasong Li, Weimin Gong, Fahui Li, Jiangyun Wang, Huifang Tian, Xiaosong Hu, Jianshu Dong and Jin Gu and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nano Energy.

In The Last Decade

Jing Shen

39 papers receiving 699 citations

Hit Papers

Rural revitalization of Xiamei: The development experienc... 2022 2026 2023 2024 2022 25 50 75 100

Peers

Jing Shen
Comparison fields: 5 of 132
  • Molecular Biology 261
  • Epidemiology 119
  • Spectroscopy 75
  • Sociology and Political Science 74
  • Oncology 61
Replace Shuoxun Zhang with:
Shuoxun Zhang China
Arpita Chatterjee United States
Hiroko Yoshida Japan
Roland Andersson Sweden
Zixi Chen China
Ngoc Minh Nguyen Vietnam
Kiet T. Nguyen Vietnam
Yu‐Fang Chang Taiwan
Xinhui Chen China
Shuoxun Zhang China View profile →
Citations per field, relative to Jing Shen
Jing Shen · 1×
Citations per year, relative to Jing Shen
Jing Shen · 1×

Countries citing papers authored by Jing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Shen. A scholar is included among the top collaborators of Jing 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 Jing Shen. Jing 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 0
2 1
3 1
4 48
5 4
6 6
7 4
8 22
9 4
10 8
11 18
12 4
13 7
14 19
15 33
16 21
17 20
18 62
19 44
20 5

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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