Xinglai Ji

2.8k total citations · 1 hit paper
26 papers, 1.7k citations indexed

About

Xinglai Ji is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Xinglai Ji has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Xinglai Ji's work include Nematode management and characterization studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Plant-Microbe Interactions and Immunity (3 papers). Xinglai Ji is often cited by papers focused on Nematode management and characterization studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Plant-Microbe Interactions and Immunity (3 papers). Xinglai Ji collaborates with scholars based in China, United States and Canada. Xinglai Ji's co-authors include Shu-Qun Liu, Yuan-Ling Xia, Yi Li, Peng Sang, Jing Liang, Xing Du, Ke‐Qin Zhang, Cheng‐Gang Zou, Jinkui Yang and Jianping Xu and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

In The Last Decade

Xinglai Ji

25 papers receiving 1.7k citations

Hit Papers

Insights into Protein–Ligand Interactions: Mechanisms, Mo... 2016 2026 2019 2022 2016 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Insights into Protein–Ligand Interactions: Mechanisms, Models, and Methods
    2016 1.1k citations Xinglai Ji, Shu-Qun Liu et al. profile →

Peers

Xinglai Ji
Bing Xia China
Shu-Qun Liu China
Durai Sundar India
Nicholas Fisher United Kingdom
Andrew Binkowski United States
Jieling Zhao United States
Hugo Verli Brazil
Peng Sang China
Dong Hae Shin South Korea
Bing Xia China
Xinglai Ji
Citations per year, relative to Xinglai Ji Xinglai Ji (= 1×) peers Bing Xia

Countries citing papers authored by Xinglai Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xinglai Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinglai Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Xinglai Ji. A scholar is included among the top collaborators of Xinglai Ji 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 Xinglai Ji. Xinglai Ji 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.
Yang, Qingxia, Wenyu Jiang, Lan Mi, et al.. (2024). MultiClassMetabo: A Superior Classification Model Constructed Using Metabolic Markers in Multiclass Metabolomics. Analytical Chemistry. 96(4). 1410–1418. 2 indexed citations
2.
Ji, Xinglai, Zefen Yu, Jinkui Yang, et al.. (2020). Expansion of Adhesion Genes Drives Pathogenic Adaptation of Nematode-Trapping Fungi. iScience. 23(5). 101057–101057. 34 indexed citations
3.
4.
Ji, Xinglai, Heng Li, Weihua Zhang, et al.. (2019). The lifestyle transition of Arthrobotrys oligospora is mediated by microRNA-like RNAs. Science China Life Sciences. 63(4). 543–551. 24 indexed citations
5.
Huang, Xiaowei, Zhìhóng Hú, Heng Li, et al.. (2019). Thioredoxin1 regulates conidia formation, hyphal growth, and trap formation in the nematode-trapping fungus Arthrobotrys oligospora. Annals of Microbiology. 69(12). 1267–1274. 3 indexed citations
6.
Jiang, Zongmin, Yonggang Li, Xinglai Ji, et al.. (2017). Protein profiling identified key chemokines that regulate the maintenance of human pluripotent stem cells. Scientific Reports. 7(1). 14510–14510. 12 indexed citations
7.
Liu, Fang, Yi Xiao, Xinglai Ji, Ke‐Qin Zhang, & Cheng‐Gang Zou. (2017). The cAMP-PKA pathway-mediated fat mobilization is required for cold tolerance in C. elegans. Scientific Reports. 7(1). 638–638. 44 indexed citations
8.
Wang, Wenxue, Guoxiu Zhang, Jing Yang, et al.. (2016). Digital gene expression profiling analysis of DNA repair pathways in colon cancer stem population of HT29 cells. Acta Biochimica et Biophysica Sinica. 49(1). 90–100. 4 indexed citations
9.
Cao, Yi, et al.. (2015). Associated bacteria of different life stages of Meloidogyne incognita using pyrosequencing‐based analysis. Journal of Basic Microbiology. 55(8). 950–960. 34 indexed citations
10.
Zou, Cheng‐Gang, et al.. (2013). The DAF-16/FOXO Transcription Factor Functions as a Regulator of Epidermal Innate Immunity. PLoS Pathogens. 9(10). e1003660–e1003660. 58 indexed citations
11.
Ji, Xinglai, Shu-Qun Liu, Jesse Li‐Ling, & Zhirong Sun. (2012). Protein subcellular localization prediction and genomic polymorphism analysis of the SARS coronavirus. Tsinghua Science & Technology. 9(4). 384–390.
12.
Ellis, Angela E., et al.. (2012). Frequent Alteration of the Tumor Suppressor Gene APC in Sporadic Canine Colorectal Tumors. PLoS ONE. 7(12). e50813–e50813. 23 indexed citations
13.
Chen, Danqi, et al.. (2011). PhenOMIM: An OMIM-based secondary database purported for phenotypic comparison. PubMed. 6. 3589–3592. 5 indexed citations
14.
Ji, Xinglai, Jie Tang, Richard B. Halberg, et al.. (2010). Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study. BMC Cancer. 10(1). 426–426. 17 indexed citations
15.
Jin, Ping, Xinglai Ji, Hui Wang, Jesse Li‐Ling, & Fei Ma. (2010). AmphiEST: Enabling comparative analysis of ESTs from five developmental stages of amphioxus. Marine Genomics. 3(3-4). 151–155. 6 indexed citations
16.
Li, Hebin, et al.. (2009). Thermus thermophilus Proteins That Are Differentially Expressed in Response to Growth Temperature and Their Implication in Thermoadaptation. Journal of Proteome Research. 9(2). 855–864. 13 indexed citations
17.
Ji, Xinglai & Shaying Zhao. (2008). DA and Xiao—two giant and composite LTR–retrotransposon-like elements identified in the human genome. Genomics. 91(3). 249–258. 15 indexed citations
18.
Ji, Xinglai, Yuan Yuan, Jesse Li‐Ling, Yanda Li, & Zhirong Sun. (2004). HMMGEP: clustering gene expression data using hidden Markov models. Bioinformatics. 20(11). 1799–1800. 3 indexed citations
19.
Liu, Shu-Qun, et al.. (2003). Bioinformatical study on the proteomics and evolution of SARS-CoV. Chinese Science Bulletin. 48(13). 1277–1287. 2 indexed citations
20.
Ji, Xinglai, Jesse Li‐Ling, & Zhirong Sun. (2003). Mining gene expression data using a novel approach based on hidden Markov models. FEBS Letters. 542(1-3). 125–131. 28 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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