Meixia Yang

69 total papers · 465 total citations
40 papers, 358 citations indexed

About

Meixia Yang is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Molecular Biology. According to data from OpenAlex, Meixia Yang has authored 40 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, Evolution, Behavior and Systematics, 14 papers in Plant Science and 8 papers in Molecular Biology. Recurrent topics in Meixia Yang's work include Phytoplasmas and Hemiptera pathogens (8 papers), Fern and Epiphyte Biology (6 papers) and Parasites and Host Interactions (5 papers). Meixia Yang is often cited by papers focused on Phytoplasmas and Hemiptera pathogens (8 papers), Fern and Epiphyte Biology (6 papers) and Parasites and Host Interactions (5 papers). Meixia Yang collaborates with scholars based in China, Hong Kong and Switzerland. Meixia Yang's co-authors include Qingwu Jiang, Yibiao Zhou, Genming Zhao, Li‐Song Wang, Christoph Scheidegger, Shiva Devkota, Xianyou Wang, Mingjun Jing, Tianjing Wu and Qizhi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Chemistry A and Green Chemistry.

In The Last Decade

Meixia Yang

36 papers receiving 355 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Meixia Yang	119	98	68	56	56	40	358
Qicai Zhang	149 1.3×	20 0.2×	17 0.3×	94 1.7×	16 0.3×	31	353
Naoko Hayashi	45 0.4×	49 0.5×	26 0.4×	3 0.1×	30 0.5×	26	359
Changyan Hu	44 0.4×	9 0.1×	95 1.4×	13 0.2×	5 0.1×	22	397
Hossein Nourani	68 0.6×	26 0.3×	2 0.0×	10 0.2×	15 0.3×	50	392
Kuang-Yao Chen	49 0.4×	79 0.8×	23 0.3×	3 0.1×	3 0.1×	32	328
Qianqian Su	17 0.1×	30 0.3×	47 0.7×	16 0.3×	4 0.1×	35	378
P. F. V. Ward	76 0.6×	123 1.3×	7 0.1×	6 0.1×	5 0.1×	20	352
Mohamed R. Habib	179 1.5×	188 1.9×	2 0.0×	25 0.4×	3 0.1×	44	399
Yuee Zhao	36 0.3×	39 0.4×	16 0.2×	11 0.2×	12 0.2×	27	328
Agnieszka Niemczynowicz	23 0.2×	79 0.8×	11 0.2×	15 0.3×	4 0.1×	36	358

Countries citing papers authored by Meixia Yang

Since Specialization

Citations

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

Fields of papers citing papers by Meixia Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meixia Yang

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

All Works

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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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