Xiaohui Lin

3.2k total citations
116 papers, 2.5k citations indexed

About

Xiaohui Lin is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, Xiaohui Lin has authored 116 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 16 papers in Spectroscopy and 16 papers in Plant Science. Recurrent topics in Xiaohui Lin's work include Metabolomics and Mass Spectrometry Studies (41 papers), Gene expression and cancer classification (20 papers) and Bioinformatics and Genomic Networks (18 papers). Xiaohui Lin is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (41 papers), Gene expression and cancer classification (20 papers) and Bioinformatics and Genomic Networks (18 papers). Xiaohui Lin collaborates with scholars based in China, Australia and Germany. Xiaohui Lin's co-authors include Guowang Xu, Peiyuan Yin, Xin Lu, Lina Zhou, Xingyuan Wang, Quancai Wang, Xin Lu, Xinjie Zhao, Chao Li and Hao Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Xiaohui Lin

106 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohui Lin China 30 1.4k 269 241 227 215 116 2.5k
Robert A. van den Berg Belgium 16 1.5k 1.1× 241 0.9× 322 1.3× 192 0.8× 83 0.4× 21 2.6k
Jennifer Fostel United States 30 2.0k 1.5× 142 0.5× 176 0.7× 182 0.8× 325 1.5× 54 3.1k
Hong Fang United States 40 2.0k 1.5× 290 1.1× 151 0.6× 83 0.4× 354 1.6× 83 4.8k
Liming Chen China 39 1.7k 1.3× 89 0.3× 157 0.7× 156 0.7× 279 1.3× 137 4.6k
Frank Dieterle Switzerland 22 1.7k 1.3× 301 1.1× 449 1.9× 73 0.3× 177 0.8× 34 3.4k
Stacey N. Reinke Australia 20 1.3k 1.0× 249 0.9× 185 0.8× 71 0.3× 113 0.5× 34 2.1k
Jiyao Wang China 13 2.6k 1.9× 263 1.0× 345 1.4× 238 1.0× 122 0.6× 57 5.2k
Youngja Park United States 29 1.9k 1.4× 220 0.8× 167 0.7× 105 0.5× 140 0.7× 100 3.7k
Bo Li China 33 2.3k 1.7× 255 0.9× 130 0.5× 73 0.3× 414 1.9× 198 4.3k
Chen Meng China 34 2.4k 1.7× 512 1.9× 192 0.8× 178 0.8× 370 1.7× 134 4.0k

Countries citing papers authored by Xiaohui Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Lin. A scholar is included among the top collaborators of Xiaohui Lin 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 Xiaohui Lin. Xiaohui Lin 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
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Wang, Weiwei, Xiaolin Wang, Shuai Yuan, et al.. (2025). Metabolic Reprogramming of Gastric Cancer Revealed by a Liquid Chromatography–Mass Spectrometry-Based Metabolomics Study. Metabolites. 15(4). 222–222.
3.
4.
Wang, Xiaoxiao, et al.. (2023). Retention time prediction for small samples based on integrating molecular representations and adaptive network. Journal of Chromatography B. 1217. 123624–123624. 6 indexed citations
5.
Zhou, Xian, Dennis Chang, Chenxiang Wang, et al.. (2023). Dendrobium mixture ameliorates hepatic injury induced by insulin resistance in vitro and in vivo through the downregulation of AGE/RAGE/Akt signaling pathway. Heliyon. 9(11). e22007–e22007. 4 indexed citations
6.
Zhang, Ai, Rui Wang, Qianfeng Liu, et al.. (2022). Breast adipose metabolites mediates the association of tetrabromobisphenol a with breast cancer: A case-control study in Chinese population. Environmental Pollution. 316. 120701–120701. 6 indexed citations
7.
Li, Guanghua, Sha Liu, Yapeng Huo, et al.. (2022). “Three-in-one” nanohybrids as synergistic nanozymes assisted with exonuclease I amplification to enhance colorimetric aptasensor for ultrasensitive detection of kanamycin. Analytica Chimica Acta. 1222. 340178–340178. 12 indexed citations
8.
Li, Chao, Peng Dou, Xin Lü, et al.. (2022). Identification and Validation of TRIM25 as a Glucose Metabolism Regulator in Prostate Cancer. International Journal of Molecular Sciences. 23(16). 9325–9325. 5 indexed citations
9.
Lin, Xiaohui, et al.. (2022). A new feature selection method based on feature distinguishing ability and network influence. Journal of Biomedical Informatics. 128. 104048–104048. 8 indexed citations
10.
Lin, Xiaohui, et al.. (2021). 14-3-3 Proteins Are Involved in BR-Induced Ray Petal Elongation in Gerbera hybrida. Frontiers in Plant Science. 12. 718091–718091. 8 indexed citations
11.
Li, Chao, et al.. (2020). A new feature selection algorithm based on relevance, redundancy and complementarity. Computers in Biology and Medicine. 119. 103667–103667. 40 indexed citations
12.
Lin, Xiaohui, et al.. (2020). Investigation of Stomata in Cut ‘Master’ Carnations: Organographic Distribution, Morphology, and Contribution to Water Loss. HortScience. 55(7). 1144–1147. 11 indexed citations
13.
Lin, Xiaohui, et al.. (2019). A new feature selection method based on symmetrical uncertainty and interaction gain. Computational Biology and Chemistry. 83. 107149–107149. 33 indexed citations
14.
Liu, Xinyu, Fujian Zheng, Xinjie Zhao, et al.. (2019). Removal of false positive features to generate authentic peak table for high-resolution mass spectrometry-based metabolomics study. Analytica Chimica Acta. 1067. 79–87. 14 indexed citations
15.
Lin, Xiaohui, Yanhui Zhang, Chao Li, et al.. (2019). A new data analysis method based on feature linear combination. Journal of Biomedical Informatics. 94. 103173–103173. 4 indexed citations
16.
Wang, Lichao, Zhongda Zeng, Xinjie Zhao, et al.. (2018). Ion-Pair Selection Method for Pseudotargeted Metabolomics Based on SWATH MS Acquisition and Its Application in Differential Metabolite Discovery of Type 2 Diabetes. Analytical Chemistry. 90(19). 11401–11408. 31 indexed citations
17.
Luo, Ping, Peiyuan Yin, Weijian Zhang, et al.. (2016). Optimization of large-scale pseudotargeted metabolomics method based on liquid chromatography–mass spectrometry. Journal of Chromatography A. 1437. 127–136. 48 indexed citations
18.
Zeng, Jun, Xin Huang, Lina Zhou, et al.. (2015). Metabolomics Identifies Biomarker Pattern for Early Diagnosis of Hepatocellular Carcinoma: from Diethylnitrosamine Treated Rats to Patients. Scientific Reports. 5(1). 16101–16101. 41 indexed citations
19.
Yu, Fangyou, et al.. (2008). Prevalence of Staphylococcus aureus carrying Panton—Valentine leukocidin genes among isolates from hospitalised patients in China. Clinical Microbiology and Infection. 14(4). 381–384. 130 indexed citations
20.
Zhang, Caiqiao, et al.. (2006). Prostaglandin involvement in follicle-stimulating hormone-induced proliferation of granulosa cells from chicken prehierarchical follicles. Prostaglandins & Other Lipid Mediators. 81(1-2). 45–54. 25 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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