Jing‐Zhi Yan

1.5k citations
46 papers · 846 indexed · h-index 14
Topics
Neuroscience and Neuropharmacology Research (17 papers)Astrophysical Phenomena and Observations (16 papers)Gamma-ray bursts and supernovae (11 papers)
Partner nations
ChinaFranceUnited States

In The Last Decade

Jing‐Zhi Yan

43 papers receiving 825 citations

Peers

Jing‐Zhi Yan
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 462
  • Molecular Biology 317
  • Astronomy and Astrophysics 161
  • Cognitive Neuroscience 140
  • Neurology 128
Replace Shinji Matsumura with:
Shinji Matsumura Japan
Hechao Chen China
Victor V. Dyakin United States
Tilmann Ott Germany
Gian Carlo Demontis Italy
Shaojie Yang China
András Mihály Hungary
Caroline Fasano Canada
И. А. Гривенников Russia
Yuhong Fang United States
Jing‐Zhi Yan relative to Shinji Matsumura Japan Shinji Matsumura's profile →
Citations per field
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Shinji Matsumura · 1×
Citations per year

Countries citing papers authored by Jing‐Zhi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Zhi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐Zhi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Zhi Yan. A scholar is included among the top collaborators of Jing‐Zhi Yan 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‐Zhi Yan. Jing‐Zhi Yan 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 1
2 2
3 1
4 0
5 6
6
FAST Detected A Transient Periodic Signal In The Direction of LS I +61 303
1
7 57
8 12
9 11
10 88
11 3
12 60
13 38
14 0
15 92
16 13
17 11
18 108
19 33
20 51

About Jing‐Zhi Yan

Jing‐Zhi Yan is a scholar working on Astronomy and Astrophysics, Cellular and Molecular Neuroscience and Aging, having authored 46 papers that have together received 846 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Astrophysical Phenomena and Observations (16 papers) and Gamma-ray bursts and supernovae (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (462 citations), Neurology (128 citations) and Developmental Neuroscience (48 citations). Jing‐Zhi Yan has collaborated with scholars based in China, France and United States. Frequent co-authors include Wei Lü, Guangyi Zhang, Yong Liu, Siqiang Ren, Wen Yao, Zhuo Xu, Rongqing Chen, Qinhua Gu, Suyi Liu and Xiaoyu Hou. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The EMBO Journal.

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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