Jing Wen

3.1k citations
79 papers · 2.3k indexed · h-index 23
Topics
Metabolomics and Mass Spectrometry Studies (6 papers)Immune Cell Function and Interaction (6 papers)Natural product bioactivities and synthesis (6 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Jing Wen

73 papers receiving 2.3k citations

Peers

Jing Wen
Comparison fields: 5 of 127
  • Molecular Biology 1.1k
  • Immunology 390
  • Cardiology and Cardiovascular Medicine 358
  • Physiology 329
  • Pathology and Forensic Medicine 327
Replace Somasundaram Arumugam with:
Somasundaram Arumugam Japan
Tao Su China
Sofia Mariotto Italy
Rajarajan A. Thandavarayan United States
Brijesh Kumar Singh Singapore
Dae‐Kyu Song South Korea
Dong‐Hoon Shin South Korea
Paul W. Hake United States
Uy Dong Sohn South Korea
Yi Zheng United States
Jing Wen relative to Somasundaram Arumugam Japan Somasundaram Arumugam's profile →
Citations per field
00.5×1.5×
Somasundaram Arumugam · 1×
Citations per year

Countries citing papers authored by Jing Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Wen. A scholar is included among the top collaborators of Jing Wen 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 Wen. Jing Wen 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 0
3 1
4 0
5 2
6 0
7 1
8 1
9 3
10 6
11 1
12 86
13 13
14 23
15 2
16 7
17
Chemical constituents from Sappan Lignum
23
18
Preliminary Study on Aquilaria sinensis Cultivate in Monutanious Area and the Growth Rule of Young Plantation
1
19 20
20 364

About Jing Wen

Jing Wen is a scholar working on Developmental Neuroscience, Molecular Biology and Sensory Systems, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Immune Cell Function and Interaction (6 papers) and Natural product bioactivities and synthesis (6 papers). The work is most often cited by research in Biochemistry (112 citations), Immunology (390 citations) and Pathology and Forensic Medicine (327 citations). Jing Wen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shunji Hayashidani, Akira Takeshita, Hiroyuki Tsutsui, Tetsuya Shiomi, Toru Kubota, Masaki Ikeuchi, Nobuhiro Suematsu, Naotaka Hamasaki, Dongchon Kang and Tomomi Ide. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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