Shijie Jin

5.5k citations
73 papers · 4.6k indexed · 1 hit paper · h-index 39
Topics
Neuroinflammation and Neurodegeneration Mechanisms (30 papers)Amyotrophic Lateral Sclerosis Research (8 papers)Neuroscience and Neuropharmacology Research (8 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Shijie Jin

72 papers receiving 4.5k citations

Hit Papers

Tumor Necrosis Factor-α Induces Neurotoxicity via Glutama...20062026201220192006200400600

Peers

Shijie Jin
Comparison fields: 5 of 140
  • Molecular Biology 1.8k
  • Neurology 1.5k
  • Immunology 977
  • Physiology 796
  • Cellular and Molecular Neuroscience 699
Replace Emmanuel Pinteaux with:
Emmanuel Pinteaux United Kingdom
Eugene D. Ponomarev Hong Kong
Fabián Docagne France
Jun‐ichi Satoh Japan
Cinthia Farina Italy
Zengqiang Yuan China
Jyoti J. Watters United States
Lijun Xu United States
Denis Soulet Canada
Lu Zhou China
Shijie Jin relative to Emmanuel Pinteaux United Kingdom Emmanuel Pinteaux's profile →
Citations per field
00.5×1.5×1.8×
Emmanuel Pinteaux · 1×
Citations per year

Countries citing papers authored by Shijie Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shijie Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijie Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shijie Jin. A scholar is included among the top collaborators of Shijie Jin 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 Shijie Jin. Shijie Jin 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
#WorkIndexed citations
1 0
2 3
3 19
4 48
5 105
6 20
7 80
8 201
9 46
10 83
11 240
12 45
13 90
14 123
15 121
16 47
17 22
18 89
19 66
20 82

About Shijie Jin

Shijie Jin is a scholar working on Neurology, Developmental Neuroscience and Immunology, having authored 73 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (30 papers), Amyotrophic Lateral Sclerosis Research (8 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Neurology (1.5k citations), Biological Psychiatry (297 citations) and Developmental Neuroscience (294 citations). Shijie Jin has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Akio Suzumura, Tetsuya Mizuno, Hideyuki Takeuchi, Yoshifumi Sonobe, Jun Kawanokuchi, Yukiko Doi, Abraham L. Sonenshein, Guiqin Zhang, Jinyan Wang and Reiko Kuno. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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