Wei-meng Zhao

1.1k total citations
9 papers, 868 citations indexed

About

Wei-meng Zhao is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Wei-meng Zhao has authored 9 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cell Biology and 1 paper in Oncology. Recurrent topics in Wei-meng Zhao's work include Microtubule and mitosis dynamics (5 papers), RNA Research and Splicing (4 papers) and Ubiquitin and proteasome pathways (2 papers). Wei-meng Zhao is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), RNA Research and Splicing (4 papers) and Ubiquitin and proteasome pathways (2 papers). Wei-meng Zhao collaborates with scholars based in United States and Japan. Wei-meng Zhao's co-authors include Guowei Fang, Akiko Seki, Paul W. Huber, Katherine Minter‐Dykhouse, Jan van Deursen, Junjie Chen, Hideyuki Saya, Irene M. Ward, Dongwei Zhang and Todd T. Kroll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Wei-meng Zhao

9 papers receiving 858 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei-meng Zhao United States	8	677	485	154	64	62	9	868
Jon M. Askham United Kingdom	16	788 1.2×	571 1.2×	138 0.9×	47 0.7×	65 1.0×	22	982
Michelle S. Levine United States	9	495 0.7×	331 0.7×	135 0.9×	59 0.9×	96 1.5×	13	697
Hanjun Kim South Korea	11	435 0.6×	349 0.7×	83 0.5×	24 0.4×	63 1.0×	16	686
Naoko Kunitoku Japan	10	782 1.2×	855 1.8×	446 2.9×	196 3.1×	89 1.4×	11	1.1k
Onur Cizmecioglu Germany	10	484 0.7×	395 0.8×	161 1.0×	69 1.1×	34 0.5×	12	614
Megan Fabbro Australia	8	745 1.1×	242 0.5×	215 1.4×	26 0.4×	102 1.6×	8	899
Nora Shannon United Kingdom	6	368 0.5×	290 0.6×	123 0.8×	60 0.9×	100 1.6×	11	551
Mihir Rajurkar United States	9	518 0.8×	274 0.6×	135 0.9×	22 0.3×	63 1.0×	12	708
Caroline Reynaud France	12	480 0.7×	190 0.4×	141 0.9×	23 0.4×	153 2.5×	21	670
Yukio Tonozuka Japan	8	325 0.5×	243 0.5×	139 0.9×	50 0.8×	48 0.8×	10	554

Countries citing papers authored by Wei-meng Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Wei-meng Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-meng Zhao. 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 Wei-meng Zhao. The network helps show where Wei-meng Zhao may publish in the future.

Co-authorship network of co-authors of Wei-meng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-meng Zhao. A scholar is included among the top collaborators of Wei-meng Zhao 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 Wei-meng Zhao. Wei-meng Zhao 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:

9 of 9 papers shown

1.

Huber, Paul W. & Wei-meng Zhao. (2010). Detection of protein–RNA complexes in Xenopus oocytes. Methods. 51(1). 82–86. 3 indexed citations

2.

Zhao, Wei-meng, et al.. (2010). Monoclonal Antibodies to Fibroblast Growth Factor Receptor 2 Effectively Inhibit Growth of Gastric Tumor Xenografts. Clinical Cancer Research. 16(23). 5750–5758. 67 indexed citations

3.

Zhao, Wei-meng, Judith A. Coppinger, Akiko Seki, et al.. (2008). RCS1, a substrate of APC/C, controls the metaphase to anaphase transition. Proceedings of the National Academy of Sciences. 105(36). 13415–13420. 35 indexed citations

4.

Zhao, Wei-meng, Akiko Seki, & Guowei Fang. (2006). Cep55, a Microtubule-bundling Protein, Associates with Centralspindlin to Control the Midbody Integrity and Cell Abscission during Cytokinesis. Molecular Biology of the Cell. 17(9). 3881–3896. 190 indexed citations

5.

Yu, Xiaochun, Katherine Minter‐Dykhouse, Liviu Malureanu, et al.. (2005). Chfr is required for tumor suppression and Aurora A regulation. Nature Genetics. 37(4). 401–406. 164 indexed citations

6.

Zhao, Wei-meng & Guowei Fang. (2005). Anillin Is a Substrate of Anaphase-promoting Complex/Cyclosome (APC/C) That Controls Spatial Contractility of Myosin during Late Cytokinesis. Journal of Biological Chemistry. 280(39). 33516–33524. 109 indexed citations

7.

Zhao, Wei-meng & Guowei Fang. (2005). MgcRacGAP controls the assembly of the contractile ring and the initiation of cytokinesis. Proceedings of the National Academy of Sciences. 102(37). 13158–13163. 168 indexed citations

8.

Kroll, Todd T., Wei-meng Zhao, Can Jiang, & Paul W. Huber. (2002). A homolog of FBP2/KSRP binds to localized mRNAs inXenopusoocytes. Development. 129(24). 5609–5619. 60 indexed citations

9.

Zhao, Wei-meng. (2001). A proline-rich protein binds to the localization element of Xenopus Vg1 mRNA and to ligands involved in actin polymerization. The EMBO Journal. 20(9). 2315–2325. 72 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