Xinbo Song

998 total citations
57 papers, 800 citations indexed

About

Xinbo Song is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Xinbo Song has authored 57 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 19 papers in Complementary and alternative medicine and 17 papers in Pharmacology. Recurrent topics in Xinbo Song's work include Natural product bioactivities and synthesis (20 papers), Traditional Chinese Medicine Analysis (14 papers) and Pharmacological Effects of Natural Compounds (14 papers). Xinbo Song is often cited by papers focused on Natural product bioactivities and synthesis (20 papers), Traditional Chinese Medicine Analysis (14 papers) and Pharmacological Effects of Natural Compounds (14 papers). Xinbo Song collaborates with scholars based in China, United States and Japan. Xinbo Song's co-authors include Heshui Yu, Lifeng Han, Baiping Ma, Liping Kang, Xiumei Gao, Hui Ding, Yang Zhao, Wenzhi Yang, Wei Li and Cheng‐Qi Xiong and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Molecules and Journal of Ethnopharmacology.

In The Last Decade

Xinbo Song

54 papers receiving 784 citations

Peers

Xinbo Song
Comparison fields: 5 of 93
  • Molecular Biology 511
  • Plant Science 221
  • Complementary and alternative medicine 148
  • Pharmacology 132
  • Food Science 113
Replace Zhi-Lai Zhan with:
Zhi-Lai Zhan China
Xinghao Yang China
Yue Song China
Y.T. Wang Macao
Weisu Huang China
Zhangchi Ning China
Il Yun Jeong South Korea
Guoyong Xie China
Jia Sun China
Zhi-Lai Zhan China View profile →
Citations per field, relative to Xinbo Song
Xinbo Song · 1×
Citations per year, relative to Xinbo Song
Xinbo Song · 1×

Countries citing papers authored by Xinbo Song

Since Specialization
Citations

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

Fields of papers citing papers by Xinbo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinbo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xinbo Song. A scholar is included among the top collaborators of Xinbo Song 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 Xinbo Song. Xinbo Song 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 0
4 3
5 4
6 3
7 0
8 7
9 7
10 10
11 8
12 82
13 1
14 35
15 12
16 20
17 4
18 37
19
Advances in research on extract of Ginkgo biloba leaves
1
20 4

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026