Xianjun Fu

2.6k total citations · 3 hit papers
77 papers, 1.9k citations indexed

About

Xianjun Fu is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Xianjun Fu has authored 77 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 22 papers in Complementary and alternative medicine and 15 papers in Pharmacology. Recurrent topics in Xianjun Fu's work include Traditional Chinese Medicine Studies (16 papers), Traditional Chinese Medicine Analysis (15 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Xianjun Fu is often cited by papers focused on Traditional Chinese Medicine Studies (16 papers), Traditional Chinese Medicine Analysis (15 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Xianjun Fu collaborates with scholars based in China, United States and Canada. Xianjun Fu's co-authors include Zhenguo Wang, Tianqi Wang, Zhibo Gai, Gerd A. Kullak‐Ublick, Michele Visentin, Dongdong Wang, Qingfa Chen, Jayanta Kumar Patra, Xia Ren and Li Qiao and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Food Chemistry.

In The Last Decade

Xianjun Fu

73 papers receiving 1.9k citations

Hit Papers

Lipid Accumulation and Chronic Kidney Disease 2019 2026 2021 2023 2019 2019 2022 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xianjun Fu China 22 746 241 231 176 152 77 1.9k
Wanghui Jing China 22 759 1.0× 204 0.8× 159 0.7× 142 0.8× 161 1.1× 54 1.7k
Abdullah F. Alasmari Saudi Arabia 27 1.0k 1.4× 157 0.7× 183 0.8× 101 0.6× 218 1.4× 274 3.1k
Dan Su China 30 1.1k 1.4× 307 1.3× 267 1.2× 180 1.0× 219 1.4× 99 2.6k
Hany H. Arab Egypt 34 1.1k 1.4× 406 1.7× 210 0.9× 174 1.0× 302 2.0× 87 3.1k
Bor‐Show Tzang Taiwan 30 836 1.1× 179 0.7× 223 1.0× 176 1.0× 138 0.9× 135 2.6k
Tatjana Simić Serbia 30 1.3k 1.7× 99 0.4× 96 0.4× 108 0.6× 148 1.0× 131 3.1k
Hanaa H. Ahmed Egypt 28 613 0.8× 158 0.7× 178 0.8× 88 0.5× 275 1.8× 198 2.5k
Jie Song China 34 1.4k 1.9× 540 2.2× 303 1.3× 171 1.0× 318 2.1× 84 2.7k
Xiumei Zhang China 33 1.3k 1.7× 155 0.6× 207 0.9× 151 0.9× 189 1.2× 124 3.0k
Shih‐Min Hsia Taiwan 34 1.3k 1.8× 584 2.4× 177 0.8× 84 0.5× 276 1.8× 143 3.5k

Countries citing papers authored by Xianjun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xianjun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianjun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xianjun Fu. A scholar is included among the top collaborators of Xianjun Fu 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 Xianjun Fu. Xianjun Fu 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
1.
Gao, Yaping, et al.. (2025). From ancient prescriptions to multiple industries: Resource potential and multidisciplinary applications of kelp. Industrial Crops and Products. 235. 121735–121735.
2.
Li, Fangjie, et al.. (2025). Antifungal Activity of Genistein Against Phytopathogenic Fungi Valsa mali Through ROS-Mediated Lipid Peroxidation. Plants. 14(1). 120–120. 2 indexed citations
3.
Xu, Zongchang, et al.. (2024). Ethnomedical uses, phytochemistry and pharmacology of Apocynum venetum L. Journal of Ethnopharmacology. 337(Pt 3). 118967–118967. 5 indexed citations
4.
Shao, Xinxin, Jiarui Zhang, Cong Chen, et al.. (2024). Key role of PPAR-γ-mediated suppression of the NFκB signaling pathway in rutin's antidepressant effect. Phytomedicine. 135. 156178–156178. 2 indexed citations
5.
Wang, Miao, et al.. (2024). Tanshinone IIA, originated from Salvia miltiorrhiza, activated EPO/EPOR-JAK2-STAT5 pathway in rat blood deficiency therapy. South African Journal of Botany. 170. 105–119. 1 indexed citations
6.
Chen, Zhixiong, Ruiquan Ge, Changmiao Wang, et al.. (2024). Identification of important gene signatures in schizophrenia through feature fusion and genetic algorithm. Mammalian Genome. 35(2). 241–255. 1 indexed citations
7.
Wang, Mengyu, Liqun Qu, Jerome P. L. Ng, et al.. (2024). Natural Products and Derivatives Targeting Metabolic Reprogramming in Colorectal Cancer: A Comprehensive Review. Metabolites. 14(9). 490–490. 7 indexed citations
8.
Xu, Kuo, Liqun Qu, Hui Li, et al.. (2024). Functional properties of dietary quercetin in cardiovascular health and disease. SHILAP Revista de lepidopterología. 5(5). 1951–1967. 8 indexed citations
9.
Liu, Qingyang, et al.. (2023). Algorithm Analysis of Face Recognition Robot Based on Deep Learning. International Journal of Pattern Recognition and Artificial Intelligence. 37(5). 3 indexed citations
10.
Ren, Xia, et al.. (2023). Comprehensive survey of target prediction web servers for Traditional Chinese Medicine. Heliyon. 9(8). e19151–e19151. 13 indexed citations
11.
Li, Hui, et al.. (2023). Vitex rotundifolia L. f. and Vitex trifolia L.: A review on their traditional medicine, phytochemistry, pharmacology. Journal of Ethnopharmacology. 308. 116273–116273. 26 indexed citations
12.
Qiu, Min, et al.. (2023). Bitter–Pungent Flavor Identification Based on Ingredient Information Similarity of Chinese Herbal Medicines. Journal of AOAC International. 107(2). 354–361. 2 indexed citations
13.
Xu, Kuo, et al.. (2022). Structural Modifications and Biological Activities of Natural α- and β-Cembrenediol: A Comprehensive Review. Pharmaceuticals. 15(5). 601–601. 6 indexed citations
14.
Liu, Y, Baoguo Li, Yuhua Su, et al.. (2022). Potential activity of Traditional Chinese Medicine against Ulcerative colitis: A review. Journal of Ethnopharmacology. 289. 115084–115084. 141 indexed citations breakdown →
15.
Fu, Xianjun, et al.. (2021). Nature Identification of Chinese Herbal Medicine Compounds Based on Molecular Descriptors. Journal of AOAC International. 104(6). 1754–1759. 6 indexed citations
16.
Fu, Xianjun, et al.. (2021). Cold–hot nature identification based on GC similarity analysis of Chinese herbal medicine ingredients. RSC Advances. 11(42). 26008–26015. 9 indexed citations
17.
Yang, Bin, Lihua Zhang, Xianjun Fu, et al.. (2021). The possible mechanisms of Erhuang decoction in the treatment of acute lung injury based on network pharmacology. Yaoxue xuebao. 244–256. 1 indexed citations
18.
Ren, Xia, Xinxin Shao, Xiuxue Li, et al.. (2020). Identifying potential treatments of COVID-19 from Traditional Chinese Medicine (TCM) by using a data-driven approach. Journal of Ethnopharmacology. 258. 112932–112932. 99 indexed citations
19.
Fu, Xianjun, et al.. (2019). Multisolvent Similarity Measure of Chinese Herbal Medicine Ingredients for Cold–Hot Nature Identification. Journal of Chemical Information and Modeling. 59(12). 5065–5073. 20 indexed citations
20.
Fu, Xianjun, et al.. (2019). Similarity measurement of Chinese medicine ingredients for cold-hot nature identification. 2(4). 183–183. 5 indexed citations

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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