Ying Jin

1.7k total citations
50 papers, 1.3k citations indexed

About

Ying Jin is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, Ying Jin has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 16 papers in Developmental Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Ying Jin's work include Nerve injury and regeneration (22 papers), Neurogenesis and neuroplasticity mechanisms (16 papers) and Spinal Cord Injury Research (7 papers). Ying Jin is often cited by papers focused on Nerve injury and regeneration (22 papers), Neurogenesis and neuroplasticity mechanisms (16 papers) and Spinal Cord Injury Research (7 papers). Ying Jin collaborates with scholars based in United States, China and Japan. Ying Jin's co-authors include Itzhak Fischer, John D. Houlé, George M. Smith, Wei Pan, Ben Z. Stanger, Amy E. Kiernan, Heng Wu, Jianning Wei, Jang‐Yen Wu and Chandana Buddhala and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Ying Jin

47 papers receiving 1.3k citations

Peers

Ying Jin
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 607
  • Molecular Biology 401
  • Pathology and Forensic Medicine 334
  • Developmental Neuroscience 328
  • Physiology 178
Replace Yoshio Takashima with:
Yoshio Takashima Japan
Anthony O. Caggiano United States
Yimin Yuan China
Klaus M. Giehl Germany
Meng Inn Chuah Australia
Meena Jhanwar‐Uniyal United States
Ornella Cuomo Italy
Zixuan Cao China
Rose A. Korsak United States
Cha‐Gyun Jung Japan
Yoshio Takashima Japan View profile →
Citations per field, relative to Ying Jin
Ying Jin · 1×
Citations per year, relative to Ying Jin
Ying Jin · 1×

Countries citing papers authored by Ying Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ying Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Jin. A scholar is included among the top collaborators of Ying 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 Ying Jin. Ying 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
# Work Indexed citations
1 9
2 0
3 1
4 1
5 27
6 1
7 34
8 19
9 10
10 9
11 13
12 16
13 8
14 98
15 22
16 18
17 14
18 35
19 3
20 8

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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