Na Wei

2.6k total citations
87 papers, 1.9k citations indexed

About

Na Wei is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Na Wei has authored 87 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 28 papers in Plant Science and 16 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Na Wei's work include Plant and animal studies (13 papers), Plant Parasitism and Resistance (10 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Na Wei is often cited by papers focused on Plant and animal studies (13 papers), Plant Parasitism and Resistance (10 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Na Wei collaborates with scholars based in China, United States and Germany. Na Wei's co-authors include Tia‐Lynn Ashman, Aaron Liston, Xiaoyu Zhu, Xiangzhen Li, Yong Tao, Shuyun Zhu, Jinmao You, Jacob A. Tennessen, Liang Cheng and Bo Tao and has published in prestigious journals such as Nature, Nature Communications and Environmental Science & Technology.

In The Last Decade

Na Wei

83 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Na Wei China	26	804	579	342	241	180	87	1.9k
Qiang Liu China	32	495 0.6×	990 1.7×	156 0.5×	341 1.4×	427 2.4×	203	3.2k
Dimitri Heintz France	34	2.1k 2.6×	1.9k 3.3×	166 0.5×	122 0.5×	151 0.8×	88	3.5k
Huimei Wang China	30	910 1.1×	1.3k 2.3×	131 0.4×	167 0.7×	159 0.9×	164	2.8k
Katherine Louie United States	20	861 1.1×	1.3k 2.2×	117 0.3×	43 0.2×	68 0.4×	41	2.4k
Roberto Pilu Italy	30	598 0.7×	1.4k 2.4×	54 0.2×	205 0.9×	270 1.5×	112	2.6k
Kjell Sergeant Belgium	34	1.3k 1.6×	2.0k 3.5×	123 0.4×	87 0.4×	190 1.1×	104	3.3k
Jing Gao China	27	583 0.7×	449 0.8×	256 0.7×	255 1.1×	159 0.9×	127	2.4k
Yu Li China	30	1.5k 1.9×	1.6k 2.7×	245 0.7×	87 0.4×	183 1.0×	324	3.3k
Ana Winters United Kingdom	29	603 0.8×	897 1.5×	127 0.4×	101 0.4×	207 1.1×	73	2.2k

Countries citing papers authored by Na Wei

Since Specialization

Citations

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

Fields of papers citing papers by Na Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Wei

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

20 of 20 papers shown

Feng, Xue, et al.. (2025). Revisiting competitive outcomes through a trait lens: a global meta-analysis across species provenance. Nature Communications. 16(1). 10639–10639.

Li, Gaojie, Na Wei, & Hong‐Wei Hou. (2025). Uncovering the Secrets of How Plants Adapt to Water Stress. Plant Cell & Environment.

Wei, Na, et al.. (2025). Contrasting Diversity and Network Dynamics of Soil Fungal Functional Groups in the Plant Rhizosphere. Microbial Ecology. 88(1). 116–116.

He, Xiaojuan, Xiuli Yi, & Na Wei. (2024). Examining the impact of internet-enabled nursing practices, guided by specialist nurses on patients with hypertension and their caregivers. Experimental Gerontology. 197. 112606–112606. 1 indexed citations

Wu, Hong-Fen, et al.. (2024). Selection Signal Analysis Reveals Hainan Yellow Cattle Are Being Selectively Bred for Heat Tolerance. Animals. 14(5). 775–775. 2 indexed citations

Pan, Yue, Meng Li, Jie Pan, et al.. (2024). Viral communities in a pH>10 serpentinite-like environment: insight into diversity and potential roles in modulating the microbiomes by bioactive vitamin B ₉ synthesis. Applied and Environmental Microbiology. 90(8). e0085024–e0085024. 2 indexed citations

O’Neill, Elizabeth, et al.. (2024). Neopolyploidy has variable effects on the diversity and composition of the wild strawberry microbiome. American Journal of Botany. 111(8). e16287–e16287. 5 indexed citations

Pan, Jie, Robert A. Sanford, Shuming Peng, et al.. (2023). Distinct microbial structure and metabolic potential shaped by significant environmental gradient impacted by ferrous slag weathering. Environment International. 178. 108067–108067. 3 indexed citations

Li, Hang, et al.. (2023). Genome-Wide Identification of the Trihelix Transcription Factor Family and Functional Analysis of the Drought Stress-Responsive Genes in Melilotus albus. Plants. 12(21). 3696–3696. 3 indexed citations

10.

Ashman, Tia‐Lynn & Na Wei. (2023). Evaluating the influences of floral traits and pollinator generalism on α and β diversity of heterospecific pollen on stigmas. Functional Ecology. 38(2). 465–476. 4 indexed citations

11.

Wei, Na, Guang‐You Hao, Shi‐Jian Yang, et al.. (2023). Does competitive asymmetry confer polyploid advantage under changing environments?. Journal of Ecology. 111(6). 1327–1339. 6 indexed citations

12.

Wei, Na & Jiaqi Tan. (2023). Environment and Host Genetics Influence the Biogeography of Plant Microbiome Structure. Microbial Ecology. 86(4). 2858–2868. 3 indexed citations

13.

Cantalupo, Paul G., Na Wei, Maria Teresa Sáenz Robles, et al.. (2022). The pollen virome of wild plants and its association with variation in floral traits and land use. Nature Communications. 13(1). 523–523. 30 indexed citations

14.

Wei, Na, et al.. (2021). Pollinators mediate floral microbial diversity and microbial network under agrochemical disturbance. Molecular Ecology. 30(10). 2235–2247. 29 indexed citations

15.

Wei, Na, Rainee L. Kaczorowski, Gerardo Arceo‐Gómez, et al.. (2021). Pollinators contribute to the maintenance of flowering plant diversity. Nature. 597(7878). 688–692. 99 indexed citations

16.

Rebolleda‐Gómez, María, Nicole J. Forrester, Avery L. Russell, et al.. (2019). Gazing into the anthosphere: considering how microbes influence floral evolution. New Phytologist. 224(3). 1012–1020. 53 indexed citations

17.

Wei, Na & Tia‐Lynn Ashman. (2018). The effects of host species and sexual dimorphism differ among root, leaf and flower microbiomes of wild strawberries in situ. Scientific Reports. 8(1). 5195–5195. 61 indexed citations

18.

Wei, Na, Shijun Xiao, Weiqing Huang, et al.. (2017). Intestinal Microbiota in Large Yellow Croaker, Larimichthys crocea, at Different Ages. Journal of the World Aquaculture Society. 49(1). 256–267. 13 indexed citations

19.

Li, Chunji, Ning Zhang, Jia Song, et al.. (2016). A single desaturase gene from red yeast Sporidiobolus pararoseus is responsible for both four- and five-step dehydrogenation of phytoene. Gene. 590(1). 169–176. 20 indexed citations

20.

Wang, Zhongsheng, et al.. (2009). Effects of Stand Regeneration Management Regimes and Age on Genetic Structure of Quercus aquifolioides (Sclerophyllous Oak) in Southwestern China. Forest Science. 55(2). 142–148. 2 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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