Jin‐Wen Xu

2.0k citations
60 papers · 1.6k indexed · h-index 22
Topics
Traditional Chinese Medicine Analysis (5 papers)Natural product bioactivities and synthesis (5 papers)Sirtuins and Resveratrol in Medicine (5 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Jin‐Wen Xu

59 papers receiving 1.6k citations

Peers

Jin‐Wen Xu
Comparison fields: 5 of 104
  • Molecular Biology 575
  • Biochemistry 398
  • Pathology and Forensic Medicine 274
  • Plant Science 239
  • Complementary and alternative medicine 216
Replace Joanna Kołodziejczyk-Czepas with:
Joanna Kołodziejczyk-Czepas Poland
Ping‐Hsiao Shih Taiwan
Min–Ho Oak South Korea
Seung Kim South Korea
Ana Belén Granado‐Serrano Spain
Yeo‐Pyo Yun South Korea
Rie Mukai Japan
Yang Xu China
Hongwei Si United States
Yoo‐Hyun Lee South Korea
Jin‐Wen Xu relative to Joanna Kołodziejczyk-Czepas Poland Joanna Kołodziejczyk-Czepas's profile →
Citations per field
00.5×1.5×2.4×
Joanna Kołodziejczyk-Czepas · 1×
Citations per year

Countries citing papers authored by Jin‐Wen Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Wen Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Wen Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Wen Xu. A scholar is included among the top collaborators of Jin‐Wen Xu 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 Jin‐Wen Xu. Jin‐Wen Xu 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 8
2 4
3 3
4 8
5 20
6 21
7 12
8 12
9 5
10 59
11 20
12 23
13 12
14 10
15 7
16 3
17 67
18 24
19 257
20 62

About Jin‐Wen Xu

Jin‐Wen Xu is a scholar working on Complementary and alternative medicine, Geriatrics and Gerontology and Biochemistry, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (5 papers), Natural product bioactivities and synthesis (5 papers) and Sirtuins and Resveratrol in Medicine (5 papers). The work is most often cited by research in Biochemistry (398 citations), Complementary and alternative medicine (216 citations) and Pathology and Forensic Medicine (274 citations). Jin‐Wen Xu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Katsumi Ikeda, Yukio Yamori, Shuang Ling, Yasuo Nara, Hiroko Negishi, Marina Njelekela, Yiming Li, Liuqiang Zhang, Li Sun and Xin Han. Their work appears in journals such as FEBS Letters, International Journal of Molecular Sciences and Hypertension.

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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