Zhibo Wang

1.3k total citations
47 papers, 905 citations indexed

About

Zhibo Wang is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Zhibo Wang has authored 47 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 18 papers in Plant Science and 11 papers in Cancer Research. Recurrent topics in Zhibo Wang's work include Cancer-related molecular mechanisms research (10 papers), Plant Molecular Biology Research (8 papers) and Plant Gene Expression Analysis (6 papers). Zhibo Wang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Plant Molecular Biology Research (8 papers) and Plant Gene Expression Analysis (6 papers). Zhibo Wang collaborates with scholars based in China, United States and Egypt. Zhibo Wang's co-authors include Gerald S. Shadel, Justin Cotney, Yucheng Wang, Yanli Zhang, Feng Wang, Xiaolei Yao, Hua Yang, Sharine Wittkopp, Timothy E. Shutt and Dan Mishmar and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Zhibo Wang

45 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhibo Wang China 17 634 201 177 164 97 47 905
Ratnesh Singh United States 19 556 0.9× 130 0.6× 137 0.8× 125 0.8× 27 0.3× 39 896
Guangyuan Li China 17 496 0.8× 223 1.1× 68 0.4× 88 0.5× 41 0.4× 39 769
Catherine Collette Sweden 3 302 0.5× 69 0.3× 156 0.9× 625 3.8× 16 0.2× 3 851
Masoud Toloue United States 11 742 1.2× 71 0.4× 221 1.2× 111 0.7× 24 0.2× 17 977
Nathalie J. van Orsouw United States 16 799 1.3× 313 1.6× 160 0.9× 329 2.0× 162 1.7× 22 1.1k
Ahmed Yagi Finland 17 427 0.7× 58 0.3× 53 0.3× 120 0.7× 41 0.4× 28 759
Mingtian Deng China 17 542 0.9× 35 0.2× 166 0.9× 223 1.4× 8 0.1× 52 815
Zhuying Wei China 17 478 0.8× 32 0.2× 79 0.4× 188 1.1× 10 0.1× 53 707
Xiujin Li China 15 236 0.4× 54 0.3× 135 0.8× 223 1.4× 7 0.1× 49 627
Feng Han China 16 450 0.7× 196 1.0× 80 0.5× 91 0.6× 5 0.1× 36 809

Countries citing papers authored by Zhibo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhibo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhibo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhibo Wang. A scholar is included among the top collaborators of Zhibo Wang 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 Zhibo Wang. Zhibo Wang 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.
2.
Fatima, Israr, Abdur Rehman, Yanheng Ding, et al.. (2024). Breakthroughs in AI and multi-omics for cancer drug discovery: A review. European Journal of Medicinal Chemistry. 280. 116925–116925. 10 indexed citations
3.
Wang, Zhibo, et al.. (2024). Birch WRKY transcription factor, BpWRKY32, confers salt tolerance by mediating stomatal closing, proline accumulation, and reactive oxygen species scavenging. Plant Physiology and Biochemistry. 210. 108599–108599. 12 indexed citations
4.
Wang, Zhibo, et al.. (2023). Evaluate the guide RNA effectiveness via Agrobacterium-mediated transient assays in Nicotiana benthamiana. Frontiers in Plant Science. 14. 1111683–1111683. 5 indexed citations
5.
Wang, Zhibo, M. Luciana Rosso, Chao Shang, et al.. (2023). Development of new mutant alleles and markers for KTI1 and KTI3 via CRISPR/Cas9-mediated mutagenesis to reduce trypsin inhibitor content and activity in soybean seeds. Frontiers in Plant Science. 14. 1111680–1111680. 13 indexed citations
6.
Wang, Zhibo, Dajun Yu, Gota Morota, et al.. (2023). Genome-wide association analysis of sucrose and alanine contents in edamame beans. Frontiers in Plant Science. 13. 1086007–1086007. 9 indexed citations
7.
Bao, Yongjin, Xiaodan Li, M.A. El-Samahy, et al.. (2022). Exploration the role of INHBA in Hu sheep granulosa cells using RNA-Seq. Theriogenology. 197. 198–208. 5 indexed citations
8.
9.
Yao, Xiaolei, Xiaoxiao Gao, Yongjin Bao, et al.. (2021). lncRNA FDNCR promotes apoptosis of granulosa cells by targeting the miR-543-3p/DCN/TGF-β signaling pathway in Hu sheep. Molecular Therapy — Nucleic Acids. 24. 223–240. 42 indexed citations
10.
Wang, Bang, Xiujuan Lv, Yufei Wang, et al.. (2021). CRISPR/Cas9-mediated mutagenesis at microhomologous regions of human mitochondrial genome. Science China Life Sciences. 64(9). 1463–1472. 20 indexed citations
11.
Wang, Zhibo, et al.. (2021). Revealing the salt tolerance mechanism of Tamarix hispida by large-scale identification of genes conferring salt tolerance. Tree Physiology. 41(11). 2153–2170. 20 indexed citations
12.
Zhao, Jie, Hua Yang, Mingtian Deng, et al.. (2020). Expression pattern and potential role of Nanos3 in regulating testosterone biosynthesis in Leydig cells of sheep. Theriogenology. 154. 31–42. 5 indexed citations
13.
Feng, Xiaobo, et al.. (2020). Upregulation of miR-552 Predicts Unfavorable Prognosis of Gastric Cancer and Promotes the Proliferation, Migration, and Invasion of Gastric Cancer Cells. Oncology Research and Treatment. 43(3). 103–111. 14 indexed citations
14.
Yang, Hua, Qi Wang, Zhibo Wang, et al.. (2020). Characterization of sheep spermatogenesis through single‐cell RNA sequencing. The FASEB Journal. 35(2). e21187–e21187. 49 indexed citations
15.
Yao, Xiaolei, Zhibo Wang, Xiaoxiao Gao, et al.. (2020). Unconservative_15_2570409 suppresses progesterone receptor expression in the granulosa cells of Hu sheep. Theriogenology. 157. 303–313. 8 indexed citations
16.
Yao, Xiaolei, M.A. El-Samahy, Zhibo Wang, et al.. (2020). CITED4 mediates proliferation, apoptosis and steroidogenesis of Hu sheep granulosa cells in vitro. Reproduction. 161(3). 255–267. 6 indexed citations
17.
Cai, Yu, Mingtian Deng, Zifei Liu, et al.. (2020). EZH2 expression and its role in spermatogonial stem cell self-renewal in goats. Theriogenology. 155. 222–231. 15 indexed citations
18.
Wang, Zhibo, et al.. (2019). Expression characterization and transcription regulation analysis of porcine Yip1 domain family member 3 gene. Asian-Australasian Journal of Animal Sciences. 33(3). 398–407. 3 indexed citations
19.
Wan, Yongjie, Mingtian Deng, Zhifei Liu, et al.. (2018). Efficient generation of CLPG1‐edited rabbits using the CRISPR/Cas9 system. Reproduction in Domestic Animals. 54(3). 538–544. 11 indexed citations
20.
Wang, Zhibo, Jason C. Poole, Sharine Wittkopp, et al.. (2009). Ancient mtDNA Genetic Variants Modulate mtDNA Transcription and Replication. PLoS Genetics. 5(5). e1000474–e1000474. 120 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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