Gang Long

1.0k total citations
18 papers, 597 citations indexed

About

Gang Long is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Gang Long has authored 18 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Hepatology. Recurrent topics in Gang Long's work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Mosquito-borne diseases and control (4 papers). Gang Long is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Mosquito-borne diseases and control (4 papers). Gang Long collaborates with scholars based in China, Netherlands and Hong Kong. Gang Long's co-authors include Xiaoyu Pan, Richard Kormelink, Just M. Vlak, Fanfan Zhao, Zhengtian Li, Yue Gao, Mengzhe Zhang, Dawei Wang, Jia Song and Ting Zhao and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biomaterials.

In The Last Decade

Gang Long

17 papers receiving 593 citations

Peers

Countries citing papers authored by Gang Long

Since Specialization

Citations

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

Fields of papers citing papers by Gang Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Long

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

All Works

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18 of 18 papers shown

#	Title	Journal	Authors	Indexed citations
1	ANG secretion predisposes endothelial cells toward angiogenesis in FIN56-induced ferroptotic hepatocellular carcinoma via the BMP6/ID1 signaling pathway	Free Radical Biology and Medicine	Gang Long, Qingwen Wang et al.	1
2	Targeted inhibition of Zika virus infection in human cells by CRISPR-Cas13b	Virus Research	Ping Chen, Minjie Chen et al.	14
3	Protocol for in utero injection to investigate Zika virus-related fetal microcephaly in mice	STAR Protocols	Xiaochun Xie, Gang Long et al.	2
4	Exosomal miRNA-16-5p Derived From M1 Macrophages Enhances T Cell-Dependent Immune Response by Regulating PD-L1 in Gastric Cancer	Frontiers in Cell and Developmental Biology	Zhengtian Li, Gang Long et al.	104
5	Syntenin regulates hepatitis C virus sensitivity to neutralizing antibody by promoting E2 secretion through exosomes	Journal of Hepatology	Jiang Wang, Xiaoning Wang et al.	41
6	Double-stranded RNA deaminase ADAR1 promotes the Zika virus replication by inhibiting the activation of protein kinase PKR	Journal of Biological Chemistry	Shili Zhou, Chao‐Chun Yang et al.	37
7	HCV Reporter System (Viral Infection-Activated Split-Intein-Mediated Reporter System) for Testing Virus Cell-to-cell Transmission ex-vivo	BIO-PROTOCOL	Fanfan Zhao, Ting Zhao et al.	0
8	Chemokine receptor antagonist block inflammation and therapy Japanese encephalitis virus infection in mouse model	Cytokine	Ke Liu, Changguang Xiao et al.	13
9	Hepatic CREBZF couples insulin to lipogenesis by inhibiting insig activity and contributes to hepatic steatosis in diet‐induced insulin‐resistant mice	Hepatology	Feifei Zhang, Zhimin Hu et al.	35
10	Binding of cellular nucleolin with the viral core RNA G-quadruplex structure suppresses HCV replication	Nucleic Acids Research	Yan Xie, Xiaoning Wang et al.	58
11	Visualizing the Essential Role of Complete Virion Assembly Machinery in Efficient Hepatitis C Virus Cell-to-Cell Transmission by a Viral Infection-Activated Split-Intein-Mediated Reporter System	Journal of Virology	Fanfan Zhao, Ting Zhao et al.	50
12	Neglected but Important Role of Apolipoprotein E Exchange in Hepatitis C Virus Infection	Journal of Virology	Xiaoning Wang, Xiumei Chi et al.	33
13	Wound Dressing Model of Human Umbilical Cord Mesenchymal Stem Cells‐Alginates Complex Promotes Skin Wound Healing by Paracrine Signaling	Stem Cells International	Gang Long et al.	30
14	Self-biotinylation and site-specific double labeling of baculovirus using quantum dots for single-virus in-situ tracking	Biomaterials	Fuxian Zhang, Zhenhua Zheng et al.	36
15	Absence of N-linked glycans from the F2 subunit of the major baculovirus envelope fusion protein F enhances fusogenicity	Journal of General Virology	Gang Long, Xiaoyu Pan et al.	8
16	Deletion of a Helicoverpa armigera nucleopolyhedrovirus gene encoding a virion structural protein (ORF107) increases the budded virion titre and reduces in vivo infectivity	Journal of General Virology	Xiaoyu Pan, Gang Long et al.	5
17	Functional Entry of Baculovirus into Insect and Mammalian Cells Is Dependent on Clathrin-Mediated Endocytosis	Journal of Virology	Gang Long, Xiaoyu Pan et al.	128
18	Serologic classification of acute viral hepatitis at San Lazaro Hospital, Manila, Philippines.	PubMed	Roxana Reyes, Catherine P. Ranoa et al.	2

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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