Zhenhong Nan

1.8k total citations
15 papers, 703 citations indexed

About

Zhenhong Nan is a scholar working on Genetics, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Zhenhong Nan has authored 15 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Physiology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Zhenhong Nan's work include Mesenchymal stem cell research (7 papers), Lysosomal Storage Disorders Research (7 papers) and Spinal Cord Injury Research (4 papers). Zhenhong Nan is often cited by papers focused on Mesenchymal stem cell research (7 papers), Lysosomal Storage Disorders Research (7 papers) and Spinal Cord Injury Research (4 papers). Zhenhong Nan collaborates with scholars based in United States, Poland and Portugal. Zhenhong Nan's co-authors include Walter C. Low, Jing Xiao, Yasuhiko Motooka, R. Scott McIvor, Rui E. Castro, Clifford J. Steer, Cecília M. P. Rodrigues, Susana Solá, Paulo S. Ribeiro and Cyndy D. Sanberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of the New York Academy of Sciences and Neurosurgery.

In The Last Decade

Zhenhong Nan

15 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenhong Nan United States 12 284 220 196 116 111 15 703
Seung‐Wan Yoo United States 14 375 1.3× 258 1.2× 47 0.2× 68 0.6× 140 1.3× 21 768
Sandrine Bichet Switzerland 10 323 1.1× 100 0.5× 126 0.6× 44 0.4× 62 0.6× 14 862
Wenyan He China 16 491 1.7× 131 0.6× 207 1.1× 78 0.7× 40 0.4× 41 1.2k
Dritan Agalliu United States 8 447 1.6× 95 0.4× 106 0.5× 104 0.9× 93 0.8× 10 1.2k
Serena Ghezzi Italy 17 470 1.7× 161 0.7× 135 0.7× 34 0.3× 72 0.6× 33 944
Zhongshu Tang China 20 593 2.1× 84 0.4× 75 0.4× 68 0.6× 76 0.7× 35 1.1k
Kelly Hares United Kingdom 15 319 1.1× 251 1.1× 81 0.4× 37 0.3× 152 1.4× 24 739
Jelena Škuljec Germany 17 360 1.3× 70 0.3× 150 0.8× 61 0.5× 369 3.3× 34 1.3k
Xing‐Li Meng United States 14 265 0.9× 44 0.2× 226 1.2× 71 0.6× 63 0.6× 19 530
Po‐Min Chiang Taiwan 13 516 1.8× 380 1.7× 131 0.7× 54 0.5× 63 0.6× 24 1.1k

Countries citing papers authored by Zhenhong Nan

Since Specialization
Citations

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

Fields of papers citing papers by Zhenhong Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhong Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenhong Nan. A scholar is included among the top collaborators of Zhenhong 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 Zhenhong Nan. Zhenhong Nan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Belur, Lalitha R., Kelly M. Podetz-Pedersen, Zhenhong Nan, et al.. (2021). Comparative Effectiveness of Intracerebroventricular, Intrathecal, and Intranasal Routes of AAV9 Vector Administration for Genetic Therapy of Neurologic Disease in Murine Mucopolysaccharidosis Type I. Frontiers in Molecular Neuroscience. 14. 618360–618360. 33 indexed citations
2.
3.
Stewart, Andrew N., Jessica J. Matyas, Ryan M. Welchko, et al.. (2017). SDF-1 overexpression by mesenchymal stem cells enhances GAP-43-positive axonal growth following spinal cord injury. Restorative Neurology and Neuroscience. 35(4). 395–411. 16 indexed citations
4.
Laoharawee, Kanut, Kelly M. Podetz-Pedersen, Tam T. T. N. Nguyen, et al.. (2017). Prevention of Neurocognitive Deficiency in Mucopolysaccharidosis Type II Mice by Central Nervous System–Directed, AAV9-Mediated Iduronate Sulfatase Gene Transfer. Human Gene Therapy. 28(8). 626–638. 42 indexed citations
5.
Matyas, Jessica J., Andrew N. Stewart, Zhenhong Nan, et al.. (2017). Effects of Bone-Marrow–Derived MSC Transplantation on Functional Recovery in a Rat Model of Spinal Cord Injury. Cell Transplantation. 26(8). 1472–1482. 28 indexed citations
6.
Feng, Xiao, Zhenhong Nan, Cyndy D. Sanberg, et al.. (2016). Amelioration of Ischemic Brain Injury in Rats with Human Umbilical Cord Blood Stem Cells: Mechanisms of Action. Cell Transplantation. 25(8). 1473–1488. 30 indexed citations
7.
Janson, Christopher G., Liudmila Romanova, Paola Leone, et al.. (2013). Comparison of Endovascular and Intraventricular Gene Therapy With Adeno-Associated Virus–α-L-Iduronidase for Hurler Disease. Neurosurgery. 74(1). 99–111. 19 indexed citations
8.
Wolf, Daniel, Leah R. Hanson, Elena L. Aronovich, et al.. (2012). Lysosomal enzyme can bypass the blood–brain barrier and reach the CNS following intranasal administration. Molecular Genetics and Metabolism. 106(1). 131–134. 49 indexed citations
9.
Nan, Zhenhong, Laurie L. Shekels, Matthew Nelson, et al.. (2012). Intracerebroventricular Transplantation of Human Bone Marrow-Derived Multipotent Progenitor Cells in an Immunodeficient Mouse Model of Mucopolysaccharidosis Type I (MPS-I). Cell Transplantation. 21(7). 1577–1593. 9 indexed citations
10.
Wolf, Daniel, Zhenhong Nan, Lalitha R. Belur, et al.. (2011). Direct gene transfer to the CNS prevents emergence of neurologic disease in a murine model of mucopolysaccharidosis type I. Neurobiology of Disease. 43(1). 123–133. 67 indexed citations
11.
Wolf, Daniel, Zhenhong Nan, Elizabeth Braunlin, et al.. (2011). Increased longevity and metabolic correction following syngeneic BMT in a murine model of mucopolysaccharidosis type I. Bone Marrow Transplantation. 47(9). 1235–1240. 5 indexed citations
12.
Nelson, Matthew, Zhenhong Nan, Shaukat Khan, et al.. (2007). Characterization of an immunodeficient mouse model of mucopolysaccharidosis type I suitable for preclinical testing of human stem cell and gene therapy. Brain Research Bulletin. 74(6). 429–438. 32 indexed citations
13.
Xiao, Jing, Zhenhong Nan, Yasuhiko Motooka, & Walter C. Low. (2005). Transplantation of a Novel Cell Line Population of Umbilical Cord Blood Stem Cells Ameliorates Neurological Deficits Associated with Ischemic Brain Injury. Stem Cells and Development. 14(6). 722–733. 117 indexed citations
14.
Nan, Zhenhong, Andrew W. Grande, Cyndy D. Sanberg, Paul R. Sanberg, & Walter C. Low. (2005). Infusion of Human Umbilical Cord Blood Ameliorates Neurologic Deficits in Rats with Hemorrhagic Brain Injury. Annals of the New York Academy of Sciences. 1049(1). 84–96. 86 indexed citations
15.
Rodrigues, Cecília M. P., Susana Solá, Zhenhong Nan, et al.. (2003). Tauroursodeoxycholic acid reduces apoptosis and protects against neurological injury after acute hemorrhagic stroke in rats. Proceedings of the National Academy of Sciences. 100(10). 6087–6092. 169 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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