Lihong Shen

2.0k total citations
40 papers, 1.6k citations indexed

About

Lihong Shen is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lihong Shen has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Developmental Neuroscience and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lihong Shen's work include Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Hepatitis B Virus Studies (4 papers). Lihong Shen is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Hepatitis B Virus Studies (4 papers). Lihong Shen collaborates with scholars based in China, United States and Czechia. Lihong Shen's co-authors include Juntian Zhang, Yong Cheng, Michael Chopp, Jade Borneman, Jing Zhang, Qi Gao, Qiang Xu, Yang Sun, Wenjie Guo and Yanhong Gu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Lihong Shen

40 papers receiving 1.5k citations

Peers

Lihong Shen
Comparison fields: 5 of 99
  • Molecular Biology 867
  • Genetics 331
  • Developmental Neuroscience 311
  • Neurology 192
  • Cellular and Molecular Neuroscience 189
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Citations per field, relative to Lihong Shen
Lihong Shen · 1×
Citations per year, relative to Lihong Shen
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Countries citing papers authored by Lihong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lihong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihong Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Lihong Shen. A scholar is included among the top collaborators of Lihong 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 Lihong Shen. Lihong 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 1
3 7
4 149
5
[Role of NO signal in ABA-induced phenolic acids accumulation in Salvia miltiorrhiza hairy roots].
3
6 5
7 32
8
Determination of consolidation priority for farmland at county level using grid method.
4
9 23
10 10
11 27
12
Research progress on Leonurus heterophyllus Sweet.
2
13 57
14 102
15 86
16
Preliminary Studies on Reproduction Biology of Helmet Catfish (Cranoglanis bouderius)
2
17 299
18 231
19 55
20 29

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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