Shengfeng Ji

791 total citations
20 papers, 572 citations indexed

About

Shengfeng Ji is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Shengfeng Ji has authored 20 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Neurology and 9 papers in Physiology. Recurrent topics in Shengfeng Ji's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Alzheimer's disease research and treatments (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). Shengfeng Ji is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Alzheimer's disease research and treatments (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). Shengfeng Ji collaborates with scholars based in China. Shengfeng Ji's co-authors include Weina Yang, John Bosco Ruganzu, Xiaoqian Peng, Yanbing Ma, Hui Jin, Yi‐Hua Qian, Yingying He, Xiangyuan Wu, Bo Ding and Qian Liu and has published in prestigious journals such as International Journal of Molecular Sciences, Experimental Cell Research and European Journal of Pharmacology.

In The Last Decade

Shengfeng Ji

19 papers receiving 568 citations

Peers

Shengfeng Ji
Comparison fields: 5 of 83
  • Neurology 215
  • Molecular Biology 185
  • Physiology 181
  • Complementary and alternative medicine 98
  • Immunology 87
John Bosco Ruganzu China
Cristóbal Cerda‐Troncoso Chile
Yiren Qin China
Charannya Sozheesvari Subhramanyam Singapore
Xuemei Wang China
Inge Tomic Germany
Parakalan Rangarajan Singapore
HyunHee Park South Korea
Tingting Huang China
Li-Ze Gu China
John Bosco Ruganzu China View profile →
Citations per field, relative to Shengfeng Ji
Shengfeng Ji · 1×
Citations per year, relative to Shengfeng Ji
Shengfeng Ji · 1×

Countries citing papers authored by Shengfeng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Shengfeng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengfeng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Shengfeng Ji. A scholar is included among the top collaborators of Shengfeng Ji 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 Shengfeng Ji. Shengfeng Ji 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 1
4 6
5 36
6 25
7 21
8 25
9 135
10 36
11 8
12 31
13 77
14 16
15 45
16 2
17 16
18 24
19 31
20 36

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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