Meihua Chu

1.1k total citations · 1 hit paper
10 papers, 894 citations indexed

About

Meihua Chu is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Meihua Chu has authored 10 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Plant Science and 1 paper in Organic Chemistry. Recurrent topics in Meihua Chu's work include Plant Virus Research Studies (4 papers), Plant Pathogenic Bacteria Studies (3 papers) and Plant-Microbe Interactions and Immunity (2 papers). Meihua Chu is often cited by papers focused on Plant Virus Research Studies (4 papers), Plant Pathogenic Bacteria Studies (3 papers) and Plant-Microbe Interactions and Immunity (2 papers). Meihua Chu collaborates with scholars based in United States, France and Australia. Meihua Chu's co-authors include Raymond C. Stevens, Gye Won Han, Chong Wang, Vadim Cherezov, Fai Siu, Vsevolod Katritch, H. Eric Xu, Bryan L. Roth, John D. McCorvy and Daniel Wacker and has published in prestigious journals such as Science, Biochemistry and Nature Protocols.

In The Last Decade

Meihua Chu

10 papers receiving 884 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Structural Features for Functional Selectivity at Serotonin Receptors

2013 543 citations Daniel Wacker, Chong Wang et al. Science profile →

Peers

Countries citing papers authored by Meihua Chu

Since Specialization

Citations

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

Fields of papers citing papers by Meihua Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meihua Chu

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Aequorea’s secrets revealed: New fluorescent proteins with unique properties for bioimaging and biosensing 2020 ·PLoS Biology ·Gerard G. Lambert, (unknown), Guillaume Gotthard, Darrin T. Schultz, Isabelle Navizet, Talley J. Lambert, Stephen Adams, (unknown), Meihua Chu, Daphne S. Bindels, (unknown), (unknown), Anya Salih, Antoine Royant, Nathan C. Shaner	43
2	Small-scale approach for precrystallization screening in GPCR X-ray crystallography 2019 ·Nature Protocols ·Martin Audet, (unknown), Jeffrey Velasquez, Meihua Chu, (unknown), Raymond C. Stevens	5
3	Structural Features for Functional Selectivity at Serotonin Receptors breakdown → 2013 ·Science ·Daniel Wacker, Chong Wang, Vsevolod Katritch, Gye Won Han, Xi‐Ping Huang, Eyal Vardy, John D. McCorvy, Yi Jiang, Meihua Chu, Fai Siu, Wei Liu, H. Eric Xu, Vadim Cherezov, Bryan L. Roth, Raymond C. Stevens	543
4	Synergistic effects of ginsenoside Rg3 and cyclophosphamine on tumor growth and angiogenesis in lung cancer 2011 ·AFRICAN JOURNAL OF BIOTECHNOLOGY ·Hang Li, (unknown), (unknown), (unknown), Meihua Chu, Chenyu Wang, (unknown), (unknown), (unknown)	4
5	Cell cycle-dependent phosphorylation of human CDC5 regulates RNA processing 2008 ·Cell Cycle ·(unknown), Hope Lancero, (unknown), Meihua Chu, (unknown), Xiaoqin Xu, (unknown), Robert J. Chalkley, Alma L. Burlingame, David Stokoe, Harold S. Bernstein	24
6	Genetic Dissection of Tomato Bushy Stunt Virus p19-Protein-Mediated Host-Dependent Symptom Induction and Systemic Invasion 2000 ·Virology ·Meihua Chu, Bénédicte Desvoyes, Massimo Turina, Rob Noad, Karen‐Beth G. Scholthof	91
7	MRE-Binding Transcription Factor-1: Weak Zinc-Binding Finger Domains 5 and 6 Modulate the Structure, Affinity, and Specificity of the Metal-Response Element Complex 1999 ·Biochemistry ·Xiaohua Chen, Meihua Chu, David Giedroc	92
8	Separate Regions on the Tomato Bushy Stunt Virus p22 Protein Mediate Cell-to-Cell Movement versus Elicitation of Effective Resistance Responses 1999 ·Molecular Plant-Microbe Interactions ·Meihua Chu, Jong‐Won Park, Karen‐Beth G. Scholthof	31
9	Two Separate Regions in the Genome of the Tobacco Etch Virus Contain Determinants of the Wilting Response of Tabasco Pepper 1997 ·Molecular Plant-Microbe Interactions ·Meihua Chu, Juan José López‐Moya, (unknown), T. P. Pirone	57
10	Nucleotide sequence of a strain of tobacco etch virus that does not cause Tabasco pepper wilt 1995 ·Virus Genes ·Meihua Chu, Mark S. Johnson, David W. Thornbury, L. T. Black, T. P. Pirone	4

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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