Gang Han

1.3k total citations
57 papers, 1.0k citations indexed

About

Gang Han is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Gang Han has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 12 papers in Cancer Research and 9 papers in Immunology. Recurrent topics in Gang Han's work include Muscle Physiology and Disorders (13 papers), RNA Interference and Gene Delivery (8 papers) and MicroRNA in disease regulation (6 papers). Gang Han is often cited by papers focused on Muscle Physiology and Disorders (13 papers), RNA Interference and Gene Delivery (8 papers) and MicroRNA in disease regulation (6 papers). Gang Han collaborates with scholars based in China, United States and Singapore. Gang Han's co-authors include HaiFang Yin, Yidong Wang, Wenzhi Bi, Yan Wang, Xianjun Gao, Kun Liu, Limin Cao, Xue Dong, Qingsong Wang and Yu Cao and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Gang Han

56 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gang Han China	19	685	218	115	93	88	57	1.0k
Pachiappan Arjunan United States	16	510 0.7×	141 0.6×	136 1.2×	87 0.9×	100 1.1×	28	1.0k
Artem Smirnov Italy	14	576 0.8×	194 0.9×	176 1.5×	92 1.0×	87 1.0×	34	953
Feifei Sun China	19	513 0.7×	259 1.2×	195 1.7×	75 0.8×	54 0.6×	106	1.1k
Gianmarco Rinaldi Belgium	14	661 1.0×	374 1.7×	91 0.8×	57 0.6×	73 0.8×	19	964
Zhenbo Han China	16	641 0.9×	317 1.5×	126 1.1×	60 0.6×	39 0.4×	30	1.0k
Xin Bu China	20	627 0.9×	130 0.6×	121 1.1×	63 0.7×	78 0.9×	49	1.1k
Hee‐Jin Kwak South Korea	13	563 0.8×	277 1.3×	164 1.4×	83 0.9×	49 0.6×	31	1.0k
Fernando J. Rossello Australia	21	756 1.1×	147 0.7×	110 1.0×	117 1.3×	194 2.2×	40	1.1k
Meng Ye China	19	651 1.0×	246 1.1×	94 0.8×	51 0.5×	68 0.8×	47	876

Countries citing papers authored by Gang Han

Since Specialization

Citations

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

Fields of papers citing papers by Gang Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Han

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jing, Renwei, Leijie Zhang, Ruibin Li, et al.. (2024). Milk‐derived extracellular vesicles functionalized with anti‐tumour necrosis factor‐α nanobody and anti‐microbial peptide alleviate ulcerative colitis in mice. Journal of Extracellular Vesicles. 13(6). 15 indexed citations

Zhang, Zhipeng, Yunzhou Pu, Gang Han, et al.. (2024). RSPO3 induced by Helicobacter pylori extracts promotes gastric cancer stem cell properties through the GNG7/β‐catenin signaling pathway. Cancer Medicine. 13(7). e7092–e7092. 4 indexed citations

Han, Gang, Yao Zhang, Zhong Li, et al.. (2024). Generalizable anchor aptamer strategy for loading nucleic acid therapeutics on exosomes. EMBO Molecular Medicine. 16(4). 1027–1045. 9 indexed citations

Liu, Xuan, Ningning Liu, Yi Zhang, et al.. (2021). Long noncoding RNA NEAT1 promotes tumorigenesis in H. pylori gastric cancer by sponging miR‐30a to regulate COX‐2/BCL9 pathway. Helicobacter. 26(6). e12847–e12847. 13 indexed citations

Kim, Eugene, Mohi Ahmed, Gang Han, et al.. (2021). MRI-guided histology of TDP-43 knock-in mice implicates parvalbumin interneuron loss, impaired neurogenesis and aberrant neurodevelopment in amyotrophic lateral sclerosis-frontotemporal dementia. Brain Communications. 3(2). fcab114–fcab114. 13 indexed citations

Dong, Xue, Lei Yi, Zeyang Yu, et al.. (2021). Exosome-mediated delivery of an anti-angiogenic peptide inhibits pathological retinal angiogenesis. Theranostics. 11(11). 5107–5126. 84 indexed citations

Jing, Renwei, Yu Kong, Gang Han, et al.. (2020). The Mutation of the Ap3b1 Gene Causes Uterine Hypoplasia in Pearl Mice. Reproductive Sciences. 27(1). 182–191. 6 indexed citations

Lin, Caorui, Gang Han, Ning Ran, et al.. (2020). Glycine Enhances Satellite Cell Proliferation, Cell Transplantation, and Oligonucleotide Efficacy in Dystrophic Muscle. Molecular Therapy. 28(5). 1339–1358. 31 indexed citations

Han, Gang, Ben J. Gu, Caorui Lin, et al.. (2019). Hexose Potentiates Peptide-Conjugated Morpholino Oligomer Efficacy in Cardiac Muscles of Dystrophic Mice in an Age-Dependent Manner. Molecular Therapy — Nucleic Acids. 18. 341–350. 7 indexed citations

10.

Han, Gang, et al.. (2018). Long-Term Morpholino Oligomers in Hexose Elicit Long-Lasting Therapeutic Improvements in mdx Mice. Molecular Therapy — Nucleic Acids. 12. 478–489. 10 indexed citations

11.

Luo, Longlong, Junhua Wu, Yuxia Wang, et al.. (2015). Monoclonal antibody, mAb 4C13, an effective detoxicant antibody against ricin poisoning. Vaccine. 33(32). 3836–3842. 5 indexed citations

12.

Wang, Qingsong, Gang Han, Jianhua Ye, et al.. (2014). Characterization of the polycystic kidney disease 2 gene promoter. Genomics. 104(6). 512–519. 5 indexed citations

13.

Gao, Xianjun, Jingwen Zhao, Gang Han, et al.. (2014). Effective Dystrophin Restoration by a Novel Muscle-Homing Peptide–Morpholino Conjugate in Dystrophin-Deficient mdx Mice. Molecular Therapy. 22(7). 1333–1341. 59 indexed citations

14.

Ren, Jianan, Yunzhao Zhao, Yujie Yuan, et al.. (2012). Complement Depletion Deteriorates Clinical Outcomes of Severe Abdominal Sepsis: A Conspirator of Infection and Coagulopathy in Crime?. PLoS ONE. 7(10). e47095–e47095. 31 indexed citations

15.

Han, Gang, Yan Wang, & Wenzhi Bi. (2012). c-Myc Overexpression Promotes Osteosarcoma Cell Invasion Via Activation of MEK-ERK Pathway. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 20(4). 149–156. 71 indexed citations

16.

Han, Gang, et al.. (2011). Genetic and phylogenetic analysis of ten Gobiidae species in China based on amplified fragment length polymorphism (AFLP) analysis. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(51). 10530–10536. 3 indexed citations

17.

Han, Gang. (2010). Regional water consumption control based on technical efficiency of water resources utilization. Journal of Hohai University.

18.

Han, Gang. (2010). Application of molecular marker in fishery stock enhancement. 1 indexed citations

19.

Han, Gang. (2009). Toxic effects of Panax notoginseng saponins on cardiac hemodynamics in rats. Zhongguo xin yao zazhi. 2 indexed citations

20.

Han, Gang. (2007). Study on the Method of Identification of Sedimentary Microfacies Using Well Logging Data. Science Technology and Engineering. 2 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