Xue Nan

1.8k total citations
64 papers, 1.1k citations indexed

About

Xue Nan is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Xue Nan has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Genetics and 17 papers in Surgery. Recurrent topics in Xue Nan's work include Mesenchymal stem cell research (20 papers), Pluripotent Stem Cells Research (13 papers) and Liver physiology and pathology (12 papers). Xue Nan is often cited by papers focused on Mesenchymal stem cell research (20 papers), Pluripotent Stem Cells Research (13 papers) and Liver physiology and pathology (12 papers). Xue Nan collaborates with scholars based in China, India and Mexico. Xue Nan's co-authors include Xuetao Pei, Wen Yue, Quan Zeng, Jiafei Xi, Junnian Zhou, Cixian Bai, Lijuan He, Xinlong Yan, Lijuan He and Yi Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Xue Nan

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xue Nan China 20 567 356 263 172 146 64 1.1k
Yulin Li China 23 567 1.0× 395 1.1× 290 1.1× 154 0.9× 127 0.9× 62 1.3k
Hsin-Yang Li Taiwan 20 583 1.0× 294 0.8× 260 1.0× 108 0.6× 62 0.4× 28 1.2k
Jae‐Sung Ryu South Korea 20 547 1.0× 172 0.5× 277 1.1× 103 0.6× 101 0.7× 50 1.2k
Eun Ju Lee South Korea 19 679 1.2× 343 1.0× 333 1.3× 102 0.6× 68 0.5× 45 1.2k
Murali K. Mamidi India 16 509 0.9× 457 1.3× 300 1.1× 139 0.8× 73 0.5× 29 1.1k
Peter C. Stapor United States 15 638 1.1× 209 0.6× 164 0.6× 239 1.4× 184 1.3× 18 1.2k
Eun Su Jeon South Korea 22 722 1.3× 588 1.7× 335 1.3× 147 0.9× 248 1.7× 29 1.4k
Hae Young Song South Korea 18 535 0.9× 299 0.8× 185 0.7× 122 0.7× 215 1.5× 21 990
Vimal Kishor Singh India 16 633 1.1× 306 0.9× 288 1.1× 63 0.4× 100 0.7× 29 1.2k
Tae–Hoon Shin South Korea 20 577 1.0× 624 1.8× 226 0.9× 208 1.2× 156 1.1× 36 1.4k

Countries citing papers authored by Xue Nan

Since Specialization
Citations

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

Fields of papers citing papers by Xue Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Xue Nan. A scholar is included among the top collaborators of Xue Nan 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 Xue Nan. Xue Nan 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.
Liu, Yü, et al.. (2025). A highly stable leaf-like Ni/Ca3AlO catalyst for hydrogen production from biomass gasification. Energy. 316. 134638–134638. 7 indexed citations
2.
Zeng, Quan, Yang Zhou, Huilin Li, et al.. (2023). Generation of Rh D‐negative blood using CRISPR/Cas9. Cell Proliferation. 56(11). e13486–e13486. 5 indexed citations
4.
Yue, Wen, Lin Chen, Dongli Chen, et al.. (2022). The accumulation of miR-125b-5p is indispensable for efficient erythroblast enucleation. Cell Death and Disease. 13(10). 886–886. 1 indexed citations
5.
Zhou, Junnian, Biao Zhang, Haiyang Wang, et al.. (2022). A Functional Screening Identifies a New Organic Selenium Compound Targeting Cancer Stem Cells: Role of c‐Myc Transcription Activity Inhibition in Liver Cancer. Advanced Science. 9(22). e2201166–e2201166. 22 indexed citations
6.
Zhang, Biao, Haiyang Wang, Dongxing Wang, et al.. (2020). The splicing regulatory factor hnRNPU is a novel transcriptional target of c‐Myc in hepatocellular carcinoma. FEBS Letters. 595(1). 68–84. 18 indexed citations
7.
Zhang, Biao, Haiyang Wang, Dongxing Wang, et al.. (2020). A new protocol for long‐term culture of a specific subpopulation of liver cancer stem cells enriched by cell surface markers. FEBS Open Bio. 10(9). 1737–1747. 5 indexed citations
8.
Yang, Chao, Lei Ji, Wen Yue, et al.. (2012). Human Fetal Liver Stromal Cells Expressing Erythropoietin Promote Hematopoietic Development from Human Embryonic Stem Cells. Cellular Reprogramming. 14(1). 88–97.
9.
Zhou, Junnian, Haixu Chen, Siting Li, et al.. (2012). Fibroblastic Potential of CD41 + Cells in the Mouse Aorta-Gonad-Mesonephros Region and Yolk Sac. Stem Cells and Development. 21(14). 2592–2605. 3 indexed citations
10.
Yuan, Hongfeng, Chao Zhai, Xinlong Yan, et al.. (2011). SIRT1 is required for long-term growth of human mesenchymal stem cells. Journal of Molecular Medicine. 90(4). 389–400. 106 indexed citations
11.
Teng, Yue, Yunfang Wang, Wei Wang, et al.. (2010). Treatment of Acute Hepatic Failure in Mice by Transplantation of Mixed Microencapsulation of Rat Hepatocytes and Transgenic Human Fetal Liver Stromal Cells. Tissue Engineering Part C Methods. 16(5). 1125–1134. 17 indexed citations
12.
Liu, Yuxiao, Wen Yue, Lei Ji, Xue Nan, & Xuetao Pei. (2010). Production of erythriod cells from human embryonic stem cells by fetal liver cell extract treatment. BMC Developmental Biology. 10(1). 85–85. 13 indexed citations
13.
Nan, Xue, et al.. (2009). Effects of dietary different ratios of n-3 to n-6 polyunsaturated fatty acids on AMP-activated protein kinase expression of rats.. Acta Nutrimenta Sinica. 31(5). 437–446. 1 indexed citations
14.
Liu, Yuxiao, Lei Ji, Wen Yue, et al.. (2009). Cells Extract from Fetal Liver Promotes the Hematopoietic Differentiation of Human Embryonic Stem Cells. Cloning and Stem Cells. 11(1). 51–60. 8 indexed citations
15.
Lǐ, Yànhuá, Yang Lv, Lin Chen, et al.. (2008). Regulatory role of neuron‐restrictive silencing factor in the specific expression of cocaine‐ and amphetamine‐regulated transcript gene. Journal of Neurochemistry. 106(3). 1314–1324. 11 indexed citations
16.
Zhang, Peng, Hongfeng Yuan, Lin Chen, et al.. (2008). Overexpression of spindlin1 induces metaphase arrest and chromosomal instability. Journal of Cellular Physiology. 217(2). 400–408. 43 indexed citations
17.
Xi, Jiafei, Wen Yue, Xue Nan, et al.. (2008). Lineage Restriction and Differentiation of Human Embryonic Stem Cells into Hepatic Progenitors and Zone 1 Hepatocytes. Tissue Engineering Part C Methods. 15(1). 95–104. 20 indexed citations
18.
Peng, Hongmei, Jiafei Xi, Yuxiao Liu, et al.. (2007). In vitro induction of human embryonic stem cells into hepatocyte-like cells. Chinese Science Bulletin. 52(23). 3221–3226.
19.
Yue, Huimin, Lei Zhang, Yunfang Wang, et al.. (2006). Proliferation and differentiation into endothelial cells of human bone marrow mesenchymal stem cells (MSCs) on poly DL-lactic-co-glycolic acid (PLGA) films. Chinese Science Bulletin. 51(11). 1328–1333. 12 indexed citations
20.
Li, Yanhua, Xiaoyan Xie, Lin Chen, et al.. (2005). Establishment of Wnt3a--transfected bone marrow stromal cells and study on expansion of human umbilical cord blood CD34~(+) hematopoietic stem/progenitor cells {\sl in vitro}. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 32(9). 835–841. 1 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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