Liangxiang Dai

37 total papers · 456 total citations
23 papers, 291 citations indexed

About

Liangxiang Dai is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, Liangxiang Dai has authored 23 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 7 papers in Ecology and 2 papers in Molecular Biology. Recurrent topics in Liangxiang Dai's work include Peanut Plant Research Studies (12 papers), Microbial Community Ecology and Physiology (7 papers) and Legume Nitrogen Fixing Symbiosis (5 papers). Liangxiang Dai is often cited by papers focused on Peanut Plant Research Studies (12 papers), Microbial Community Ecology and Physiology (7 papers) and Legume Nitrogen Fixing Symbiosis (5 papers). Liangxiang Dai collaborates with scholars based in China and Taiwan. Liangxiang Dai's co-authors include Hong Ding, Guanchu Zhang, Yang Xu, Zhimeng Zhang, Dunwei Ci, Zipeng Yu, Zhimeng Zhang, Feifei Qin, Tangyuan Ning and Qing Guo and has published in prestigious journals such as International Journal of Molecular Sciences, Archives of Microbiology and BMC Plant Biology.

In The Last Decade

Liangxiang Dai

22 papers receiving 278 citations

Author Peers

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

Author						Papers	Cites
Liangxiang Dai	249	57	46	45	44	23	291
Baili Feng	127 0.5×	55 1.0×	39 0.8×	33 0.7×	84 1.9×	25	219
Ding Wang	170 0.7×	31 0.5×	94 2.0×	60 1.3×	69 1.6×	26	311
T. B. Irving	235 0.9×	28 0.5×	30 0.7×	40 0.9×	56 1.3×	27	321
Zoltán Kende	233 0.9×	21 0.4×	31 0.7×	67 1.5×	54 1.2×	37	322
Adenike Eunice Amoo	196 0.8×	71 1.2×	55 1.2×	14 0.3×	59 1.3×	23	310
S.L. Bithell	293 1.2×	21 0.4×	28 0.6×	33 0.7×	27 0.6×	36	324
Priya George	222 0.9×	30 0.5×	56 1.2×	18 0.4×	20 0.5×	21	275
Muhammad Noor	237 1.0×	42 0.7×	16 0.3×	105 2.3×	64 1.5×	20	324
Zongyong Tong	227 0.9×	26 0.5×	76 1.7×	36 0.8×	31 0.7×	19	296
Gilbert Koskey	255 1.0×	22 0.4×	27 0.6×	89 2.0×	34 0.8×	15	305

Countries citing papers authored by Liangxiang Dai

Since Specialization

Citations

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

Fields of papers citing papers by Liangxiang Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangxiang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Liangxiang Dai. A scholar is included among the top collaborators of Liangxiang Dai 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 Liangxiang Dai. Liangxiang Dai 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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