Xiaohua Song

1.2k total citations · 1 hit paper
48 papers, 859 citations indexed

About

Xiaohua Song is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Xiaohua Song has authored 48 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 11 papers in Molecular Biology and 10 papers in Nutrition and Dietetics. Recurrent topics in Xiaohua Song's work include GABA and Rice Research (11 papers), Rice Cultivation and Yield Improvement (10 papers) and Food composition and properties (8 papers). Xiaohua Song is often cited by papers focused on GABA and Rice Research (11 papers), Rice Cultivation and Yield Improvement (10 papers) and Food composition and properties (8 papers). Xiaohua Song collaborates with scholars based in China, Canada and United States. Xiaohua Song's co-authors include Dingxin Long, Yao Xiang, James C. Stone, Xiaofeng Yu, Jian Sun, Wei‐Dong Du, Jianxiong Tang, Songbai Zheng, Nancy A. Dower and Ana Lopez-Campistrous and has published in prestigious journals such as PLoS ONE, Scientific Reports and World Journal of Gastroenterology.

In The Last Decade

Xiaohua Song

41 papers receiving 846 citations

Hit Papers

Nrf2 and Ferroptosis: A New Research Direction for Neurod... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Xiaohua Song
Comparison fields: 5 of 105
  • Molecular Biology 418
  • Pulmonary and Respiratory Medicine 317
  • Cancer Research 244
  • Nutrition and Dietetics 97
  • Surgery 91
Replace Rupak Pathak with:
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Ping Ren China
Isha Sharma India
Fang Guo China
Karim Bahmed United States
Jasmin Shafarin United Arab Emirates
Krishna P. Maremanda United States
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Rupak Pathak United States View profile →
Citations per field, relative to Xiaohua Song
Xiaohua Song · 1×
Citations per year, relative to Xiaohua Song
Xiaohua Song · 1×

Countries citing papers authored by Xiaohua Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Song. A scholar is included among the top collaborators of Xiaohua 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 Xiaohua Song. Xiaohua 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 0
2 3
3 1
4 0
5 6
6 2
7 17
8 20
9
Nrf2 and Ferroptosis: A New Research Direction for Neurodegenerative Diseases breakdown →
437
10 20
11 8
12
Detection and application of functional markers of Badh2 gene from different fragrant rice varieties in southern Henan.
0
13
Progress in genetic research on rice chalkiness.
1
14 1
15 40
16 5
17 17
18 19
19 38
20 1

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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