Xing Han
About
Xing Han is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Environmental Chemistry.
According to data from OpenAlex, Xing Han has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Health, Toxicology and Mutagenesis and 8 papers in Environmental Chemistry. Recurrent topics in Xing Han's work include Environmental Toxicology and Ecotoxicology (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Toxic Organic Pollutants Impact (7 papers). Xing Han is often cited by papers focused on Environmental Toxicology and Ecotoxicology (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Toxic Organic Pollutants Impact (7 papers). Xing Han collaborates with scholars based in United States, China and Switzerland. Xing Han's co-authors include Lukas K. Tamm, Ching‐Hui Yang, John H. Bushweller, David S. Cafiso, Diane L. Nabb, Gary W. Jepson, Raymond A. Kemper, Timothy Arthur Chandos Snow, Kyle Glover and Robert T. Mingoia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Environmental Science & Technology.
In The Last Decade
Xing Han
46 papers receiving 2.4k citations
Peers
Xing Han
Hua Guo China
Hiranmoy Bhattacharjee United States
Jessica M. Boyd Canada
Qiming Zhou China
Dorothea K. Thompson United States
Xuefeng Ren United States
Dietmar Linder Germany
A. Matin United States
Meyrick J. Peak United States
Thierry Baussant Norway
Citations per year, relative to Xing Han Xing Han (= 1×)
peers
Hua Guo
Countries citing papers authored by Xing Han
Since
Specialization
Citations
This map shows the geographic impact of Xing Han'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 Xing Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Han more than expected).
Fields of papers citing papers by Xing Han
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Xing Han. 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 Xing Han. The network helps show where Xing Han may publish in the future.
Co-authorship network of co-authors of Xing Han
This figure shows the co-authorship network connecting the top 25 collaborators of Xing Han. A scholar is included among the top collaborators of Xing Han 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 Xing Han. Xing Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Yu, Haiyang, Xing Han, Xuechen Zhang, et al.. (2023). Fertilizer-induced N2O and NO emissions in tea gardens and the main controlling factors: A recent three-decade data synthesis. The Science of The Total Environment. 871. 162054–162054.
2.
Jin, Weili, Ye Wu, Ning Chen, et al.. (2021). Early administration of MPC-n(IVIg) selectively accumulates in ischemic areas to protect inflammation-induced brain damage from ischemic stroke. Theranostics. 11(17). 8197–8217.
3.
Han, Xing, Sidi Li, Xueping Li, et al.. (2020). The effect of zwitterionic surface content on blood circulation time of nanocapsule. Journal of Biomaterials Applications. 35(3). 371–384.
4.
Zhou, Tingting, Xing Han, Tingyuan Lang, et al.. (2019). Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia. Journal of Translational Medicine. 17(1). 38–38.
5.
Tang, Xiaoju, Ling Sun, Xiaodong Jin, et al.. (2017). Runt-Related Transcription Factor 1 Regulates LPS-Induced Acute Lung Injury via NF-κB Signaling. American Journal of Respiratory Cell and Molecular Biology. 57(2). 174–183.
6.
Glover, Kyle, et al.. (2015). Synergistic Gene Expression Signature Observed in TK6 Cells upon Co-Exposure to UVC-Irradiation and Protein Kinase C-Activating Tumor Promoters. PLoS ONE. 10(10). e0139850–e0139850.
7.
Han, Xing, Bogdan Szostek, Ching‐Hui Yang, et al.. (2011). Comparative Metabolism of 1,2,3,3,3-Pentafluoropropene in Male and Female Mouse, Rat, Dog, and Human Liver Microsomes and Cytosol and Male Rat Hepatocytes via Oxidative Dehalogenation and Glutathione S-Conjugation Pathways. Drug Metabolism and Disposition. 39(7). 1288–1293.
8.
Yang, Ching‐Hui, Kyle Glover, & Xing Han. (2010). Characterization of Cellular Uptake of Perfluorooctanoate via Organic Anion-Transporting Polypeptide 1A2, Organic Anion Transporter 4, and Urate Transporter 1 for Their Potential Roles in Mediating Human Renal Reabsorption of Perfluorocarboxylates. Toxicological Sciences. 117(2). 294–302.
9.
Nichols, John W., Mark Bonnell, S. Dimitrov, et al.. (2009). Bioaccumulation Assessment Using Predictive Approaches. Integrated Environmental Assessment and Management. 5(4). 577–577.
10.
Yang, Ching‐Hui, Kyle Glover, & Xing Han. (2009). Organic anion transporting polypeptide (Oatp) 1a1-mediated perfluorooctanoate transport and evidence for a renal reabsorption mechanism of Oatp1a1 in renal elimination of perfluorocarboxylates in rats. Toxicology Letters. 190(2). 163–171.
11.
Han, Xing, John C. O’Connor, Erica Donner, et al.. (2008). Non-coplanar 2,2′,3,3′,4,4′,5,5′,6,6′-decachlorobiphenyl (PCB 209) did not induce cytochrome P450 enzyme activities in primary cultured rat hepatocytes, was not genotoxic, and did not exhibit endocrine-modulating activities. Toxicology. 255(3). 177–186.
12.
Han, Xing, Robert T. Mingoia, Diane L. Nabb, et al.. (2008). Xenobiotic intrinsic clearance in freshly isolated hepatocytes from rainbow trout (Oncorhynchus mykiss): Determination of trout hepatocellularity, optimization of cell concentrations and comparison of serum and serum-free incubations. Aquatic Toxicology. 89(1). 11–17.
13.
Nabb, Diane L., Robert T. Mingoia, Ching‐Hui Yang, & Xing Han. (2006). Comparison of basal level metabolic enzyme activities of freshly isolated hepatocytes from rainbow trout (Oncorhynchus mykiss) and rat. Aquatic Toxicology. 80(1). 52–59.
14.
Mingoia, Robert T., Diane L. Nabb, Ching‐Hui Yang, & Xing Han. (2006). Primary culture of rat hepatocytes in 96-well plates: Effects of extracellular matrix configuration on cytochrome P450 enzyme activity and inducibility, and its application in in vitro cytotoxicity screening. Toxicology in Vitro. 21(1). 165–173.
15.
Han, Xing, Raymond A. Kemper, & Gary W. Jepson. (2005). Subcellular Distribution and Protein Binding of Perfluorooctanoic Acid in Rat Liver and Kidney. Drug and Chemical Toxicology. 28(2). 197–209.
16.
Lin, Qingcong, Amy L. Inselman, Xing Han, et al.. (2004). Reductions in Linker Histone Levels Are Tolerated in Developing Spermatocytes but Cause Changes in Specific Gene Expression. Journal of Biological Chemistry. 279(22). 23525–23535.
17.
Tamm, Lukas K., Xing Han, Yinling Li, & Alex L. Lai. (2002). Structure and function of membrane fusion peptides. Biopolymers. 66(4). 249–260.
18.
Han, Xing, John H. Bushweller, David S. Cafiso, & Lukas K. Tamm. (2001). Membrane structure and fusion-triggering conformational change of the fusion domain from influenza hemagglutinin.. Nature Structural Biology. 8(8). 715–720.
19.
Han, Xing & Lukas K. Tamm. (2000). pH-dependent Self-association of Influenza Hemagglutinin Fusion Peptides in Lipid Bilayers. Journal of Molecular Biology. 304(5). 953–965.
20.
Tamm, Lukas K. & Xing Han. (2000). Viral Fusion Peptides: A Tool Set to Disrupt and Connect Biological Membranes. Bioscience Reports. 20(6). 501–518.
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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