Xiaominting Song

1.1k total citations · 2 hit papers
11 papers, 846 citations indexed

About

Xiaominting Song is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Xiaominting Song has authored 11 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Genetics. Recurrent topics in Xiaominting Song's work include Bioactive Compounds and Antitumor Agents (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Medicinal Plants and Bioactive Compounds (2 papers). Xiaominting Song is often cited by papers focused on Bioactive Compounds and Antitumor Agents (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Medicinal Plants and Bioactive Compounds (2 papers). Xiaominting Song collaborates with scholars based in China, Switzerland and United Kingdom. Xiaominting Song's co-authors include Zhixing Cao, Yuzhi Li, Chuanjie Guo, Lu Tan, Yali Ren, Miao Wang, Cheng Peng, Junlin He, Miao Wang and Peidu Jiang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Xiaominting Song

11 papers receiving 834 citations

Hit Papers

Pharmacological properties and derivatives of shikonin—A ... 2019 2026 2021 2023 2019 2020 50 100 150 200 250

Peers

Xiaominting Song
Comparison fields: 5 of 96
  • Molecular Biology 400
  • Toxicology 132
  • Plant Science 106
  • Organic Chemistry 104
  • Cancer Research 104
Replace Lu Tan with:
Lu Tan China
Raghavendra S. Patwardhan India
María C. Recio Spain
An-Cheng Huang Taiwan
Karina Bettega Felipe Brazil
Kyoo Seok Ahn South Korea
Lalitha Ramachandran Singapore
Yi-Shih Ma Taiwan
Shin‐Hyung Park South Korea
Vinothkumar Rajamanickam China
Lu Tan China View profile →
Citations per field, relative to Xiaominting Song
Xiaominting Song · 1×
Citations per year, relative to Xiaominting Song
Xiaominting Song · 1×

Countries citing papers authored by Xiaominting Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaominting Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaominting Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaominting Song. A scholar is included among the top collaborators of Xiaominting 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 Xiaominting Song. Xiaominting Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 4
2 2
3 7
4 13
5 75
6
Myricetin: A review of the most recent research breakdown →
268
7 100
8 54
9 6
10
Pharmacological properties and derivatives of shikonin—A review in recent years breakdown →
271
11 46

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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