Ye Tang

706 total citations
12 papers, 518 citations indexed

About

Ye Tang is a scholar working on Infectious Diseases, Genetics and Molecular Biology. According to data from OpenAlex, Ye Tang has authored 12 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Ye Tang's work include Virus-based gene therapy research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Biological and pharmacological studies of plants (2 papers). Ye Tang is often cited by papers focused on Virus-based gene therapy research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Biological and pharmacological studies of plants (2 papers). Ye Tang collaborates with scholars based in China. Ye Tang's co-authors include Dong Wu, Suhua Zhang, Bing Xie, Yinglong Su, Yaping Zhao, Bing Xie, Ye Li, Lu Zhan, Guang Yu and Yuan Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Ye Tang

10 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Tang China 5 323 249 151 139 68 12 518
Fengfeng Ma China 13 199 0.6× 110 0.4× 108 0.7× 219 1.6× 50 0.7× 35 535
Ch. Tahir Mehmood China 12 269 0.8× 178 0.7× 79 0.5× 142 1.0× 85 1.3× 21 518
Yixuan Zhao China 7 389 1.2× 253 1.0× 93 0.6× 97 0.7× 109 1.6× 11 640
Hoang‐Lam Nguyen Canada 13 451 1.4× 317 1.3× 80 0.5× 52 0.4× 75 1.1× 17 603
Yuanqiang Tang China 5 542 1.7× 338 1.4× 91 0.6× 63 0.5× 81 1.2× 7 642
Sangita Yadav India 10 224 0.7× 161 0.6× 64 0.4× 93 0.7× 76 1.1× 20 392
Nirban Laskar India 8 269 0.8× 216 0.9× 65 0.4× 151 1.1× 49 0.7× 14 501
Julia Nieto-Sandoval Spain 12 284 0.9× 188 0.8× 181 1.2× 127 0.9× 96 1.4× 24 547
Quan Feng China 14 266 0.8× 214 0.9× 61 0.4× 188 1.4× 39 0.6× 33 549
Domenica Mosca Angelucci Italy 17 354 1.1× 105 0.4× 116 0.8× 284 2.0× 52 0.8× 33 657

Countries citing papers authored by Ye Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Tang

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

All Works

12 of 12 papers shown
1.
Zhang, Jing, Ye Tang, Haifeng Xiong, et al.. (2024). Protective Efficacy of an Inactivated Recombinant Serotype 4 Fowl Adenovirus Against Duck Adenovirus 3 in Muscovy Duck. Vaccines. 12(12). 1357–1357. 1 indexed citations
2.
Tian, Xiaoyan, et al.. (2024). A novel linear B cell epitope of the canine coronavirus nucleocapsid protein identified by a monoclonal antibody. Veterinary Microbiology. 293. 110098–110098.
3.
4.
Tang, Ye, Ye Li, Lu Zhan, et al.. (2021). Removal of emerging contaminants (bisphenol A and antibiotics) from kitchen wastewater by alkali-modified biochar. The Science of The Total Environment. 805. 150158–150158. 136 indexed citations
5.
Tang, Ye, et al.. (2021). Identification and phylogenetic analysis of two canine coronavirus strains. SHILAP Revista de lepidopterología. 1(1). 10–10. 1 indexed citations
6.
Yu, Guang, Yuan Zhou, Juanjuan Yu, et al.. (2020). Author Correction: Transcriptome and digital gene expression analysis unravels the novel mechanism of early flowering in Angelica sinensis. Scientific Reports. 10(1). 1888–1888. 1 indexed citations
7.
Tang, Ye, Suhua Zhang, Yinglong Su, et al.. (2020). Removal of microplastics from aqueous solutions by magnetic carbon nanotubes. Chemical Engineering Journal. 406. 126804–126804. 330 indexed citations
8.
Tang, Ye, et al.. (2020). Preparation of submicron capsules containing fragrance and their application as emulsifier. Polymer Bulletin. 78(4). 1821–1833. 7 indexed citations
9.
Jiang, Yucui, Ying Du, Ye Tang, et al.. (2019). Characteristics of compound 48/80-induced voltage-dependent currents in mouse mast cell tumor P815 cells. Acta Biochimica et Biophysica Sinica. 51(11). 1182–1184. 1 indexed citations
10.
Yu, Guang, Yuan Zhou, Juanjuan Yu, et al.. (2019). Transcriptome and digital gene expression analysis unravels the novel mechanism of early flowering in Angelica sinensis. Scientific Reports. 9(1). 10035–10035. 19 indexed citations
11.
Zhou, Yuan, Menghan Sun, Ye Tang, et al.. (2019). Responses of the proteome in testis of mice exposed chronically to environmentally relevant concentrations of Microcystin-LR.. Ecotoxicology and Environmental Safety. 187. 109824–109824. 21 indexed citations
12.
Tang, Ye. (2002). Colony PCR Apply to The Rice Genome Sequencing. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 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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