Jun Xiao

2.6k total citations · 1 hit paper
63 papers, 1.6k citations indexed

About

Jun Xiao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jun Xiao has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Oncology. Recurrent topics in Jun Xiao's work include Gastric Cancer Management and Outcomes (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Analytical Chemistry and Chromatography (4 papers). Jun Xiao is often cited by papers focused on Gastric Cancer Management and Outcomes (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Analytical Chemistry and Chromatography (4 papers). Jun Xiao collaborates with scholars based in China, United States and Australia. Jun Xiao's co-authors include Habtom W. Ressom, Bin Zhou, Leepika Tuli, Bin Zhou, Tsung‐Heng Tsai, Rency S. Varghese, Amrita K. Cheema, Cristina Di Poto, Jinlian Wang and Mohammad Ranjbar and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jun Xiao

55 papers receiving 1.6k citations

Hit Papers

LC-MS-based metabolomics 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Xiao China 14 952 283 202 160 152 63 1.6k
Xiaotao Shen China 22 1.3k 1.3× 413 1.5× 121 0.6× 153 1.0× 132 0.9× 36 2.1k
Maurizio Ronci Italy 26 716 0.8× 325 1.1× 93 0.5× 122 0.8× 100 0.7× 74 1.8k
Dmitry Grapov United States 29 1.1k 1.1× 140 0.5× 188 0.9× 78 0.5× 218 1.4× 44 2.0k
Anthony C. Dona Australia 19 843 0.9× 151 0.5× 135 0.7× 160 1.0× 90 0.6× 35 1.8k
Jisun Oh South Korea 28 958 1.0× 120 0.4× 89 0.4× 91 0.6× 177 1.2× 86 2.0k
Brian C. DeFelice United States 16 1.3k 1.4× 368 1.3× 117 0.6× 129 0.8× 198 1.3× 30 1.9k
Max Scherer Germany 23 1.1k 1.2× 242 0.9× 189 0.9× 119 0.7× 173 1.1× 76 2.1k
Natalie Homer United Kingdom 23 795 0.8× 119 0.4× 89 0.4× 96 0.6× 99 0.7× 115 2.3k
Takamasa Ishikawa Japan 13 825 0.9× 178 0.6× 93 0.5× 121 0.8× 134 0.9× 23 1.3k
Xiaojian Shi United States 28 1.4k 1.5× 197 0.7× 72 0.4× 74 0.5× 131 0.9× 61 2.2k

Countries citing papers authored by Jun Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Xiao. A scholar is included among the top collaborators of Jun Xiao 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 Jun Xiao. Jun Xiao 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.
Pang, Xiao‐Wei, Lifang Zhu, Ming‐Hao Dong, et al.. (2025). Circulating insulin-like growth factor-1 and the risk of multiple sclerosis: a prospective cohort study. Multiple Sclerosis and Related Disorders. 94. 106281–106281.
2.
Wang, Hanying, et al.. (2024). Water pressure method for endoscopic submucosal dissection of a rectal tumor on the gravitational side close to the dentate line. SHILAP Revista de lepidopterología. 12(4). E532–E534.
3.
Cai, Yimin, Jun Xiao, Yongchang Wei, et al.. (2023). Healthy dietary patterns, genetic risk, and gastrointestinal cancer incident risk: a large-scale prospective cohort study. American Journal of Clinical Nutrition. 119(2). 406–416. 9 indexed citations
4.
Xiao, Xiaoqiang, et al.. (2023). Comorbidity among inpatients with dementia: a preliminary cross-sectional study in West China. Aging Clinical and Experimental Research. 35(3). 659–667. 12 indexed citations
6.
Wang, Zuxing, Zhili Zou, Jun Xiao, et al.. (2023). Brain-derived neurotrophic factor blood levels after electroconvulsive therapy in patients with mental disorders: A systematic review and meta-analysis. General Hospital Psychiatry. 83. 86–92. 4 indexed citations
7.
Xiao, Xiaoqiang, Zuxing Wang, Peijia Wang, et al.. (2022). Autoimmune Encephalitis With Psychotic Manifestations and Cognitive Impairment Presenting as Schizophrenia: Case Report and Literature Review. Frontiers in Psychiatry. 13. 827138–827138. 7 indexed citations
9.
Zhou, Chao, Hongzheng Zeng, Jun Xiao, et al.. (2021). Aerial Locating Method Design for Civil Aviation RFI: UAV Monitoring Platform and Ground Terminal System. Journal of Intelligent & Robotic Systems. 103(2). 4 indexed citations
10.
Wang, Zuxing, Jun Xiao, Wenjiao Min, et al.. (2021). The willingness of Chinese adults to receive the COVID-19 vaccine and its associated factors at the early stage of the vaccination programme: a network analysis. Journal of Affective Disorders. 297. 301–308. 13 indexed citations
11.
Wang, Lin, Jun Xiao, Minzhe Li, et al.. (2020). <p>Performance of a Nomogram Based on the Integration of Inflammation Markers with Tumor Staging in Prognosis Prediction of Stage III Colorectal Cancer</p>. Cancer Management and Research. Volume 12. 7077–7085. 1 indexed citations
13.
Ye, Fang, et al.. (2016). Impact of Insulin Sensitizers on the Incidence of Dementia: A Meta-Analysis. Dementia and Geriatric Cognitive Disorders. 41(5-6). 251–260. 39 indexed citations
14.
Lai, Hao, Xianwei Mo, Yang Yang, et al.. (2014). Association between aflatoxin B1 occupational airway exposure and risk of hepatocellular carcinoma: a case-control study. Tumor Biology. 35(10). 9577–9584. 33 indexed citations
15.
Xiao, Jun, et al.. (2013). Transcription Factor NF-Y Is a Functional Regulator of the Transcription of Core Clock Gene Bmal1. Journal of Biological Chemistry. 288(44). 31930–31936. 12 indexed citations
16.
Ressom, Habtom W., Jun Xiao, Leepika Tuli, et al.. (2012). Utilization of metabolomics to identify serum biomarkers for hepatocellular carcinoma in patients with liver cirrhosis. Analytica Chimica Acta. 743. 90–100. 132 indexed citations
17.
Tuli, Leepika, Tsung‐Heng Tsai, Rency S. Varghese, et al.. (2012). Using a spike-in experiment to evaluate analysis of LC-MS data. Proteome Science. 10(1). 13–13. 13 indexed citations
18.
Zhong, Jian‐Hong, Xue‐Mei You, Wen‐Feng Gong, et al.. (2012). Epidermal Growth Factor Gene Polymorphism and Risk of Hepatocellular Carcinoma: A Meta-Analysis. PLoS ONE. 7(3). e32159–e32159. 45 indexed citations
19.
Zhou, Bin, Jun Xiao, Leepika Tuli, & Habtom W. Ressom. (2011). LC-MS-based metabolomics. Molecular BioSystems. 8(2). 470–481. 452 indexed citations breakdown →
20.
Xiao, Jun, Bin Zhou, & Habtom W. Ressom. (2011). Metabolite identification and quantitation in LC-MS/MS-based metabolomics. TrAC Trends in Analytical Chemistry. 32. 1–14. 420 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026