Ya Jin

1.8k total citations
63 papers, 1.6k citations indexed

About

Ya Jin is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Ya Jin has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Spectroscopy, 18 papers in Molecular Biology and 13 papers in Computational Mechanics. Recurrent topics in Ya Jin's work include Advanced Proteomics Techniques and Applications (22 papers), Mass Spectrometry Techniques and Applications (19 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Ya Jin is often cited by papers focused on Advanced Proteomics Techniques and Applications (22 papers), Mass Spectrometry Techniques and Applications (19 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Ya Jin collaborates with scholars based in China, Japan and Canada. Ya Jin's co-authors include Takashi Manabe, Jesse Zhu, Dingrong Bai, Lan Xiang, Zhigang Yu, Ze Wang, John R. Grace, Allan S. Issangya, Di Zhou and Xin Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Ya Jin

61 papers receiving 1.5k citations

Peers

Ya Jin
Comparison fields: 5 of 127
  • Computational Mechanics 627
  • Biomedical Engineering 344
  • Mechanical Engineering 342
  • Materials Chemistry 238
  • Molecular Biology 222
Replace Jiayong Chen with:
Jiayong Chen China
Katsumi Tsuchiya Japan
Donghui Li China
Li‐Tao Zhu China
T. Howard Black United States
A.I. Bailey United Kingdom
Jie Pan China
Vladimir Živković United Kingdom
Shubin Fu Hong Kong
Donald L. Hunston United States
Jiayong Chen China View profile →
Citations per field, relative to Ya Jin
Ya Jin · 1×
Citations per year, relative to Ya Jin
Ya Jin · 1×

Countries citing papers authored by Ya Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ya Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Jin. A scholar is included among the top collaborators of Ya 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 Ya Jin. Ya 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 2
2 2
3 4
4 2
5
Magnetic multiwalled carbon nanotubes with controlled release of epirubicin: an intravesical instillation system for bladder cancer
1
6 7
7 19
8 10
9 12
10 3
11 10
12 13
13 8
14 10
15 25
16 27
17 24
18 7
19 31
20 37

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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