Weide Ge

524 total citations · 1 hit paper
6 papers, 359 citations indexed

About

Weide Ge is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Weide Ge has authored 6 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Weide Ge's work include Plant-Microbe Interactions and Immunity (4 papers), Plant pathogens and resistance mechanisms (3 papers) and Plant Pathogens and Fungal Diseases (2 papers). Weide Ge is often cited by papers focused on Plant-Microbe Interactions and Immunity (4 papers), Plant pathogens and resistance mechanisms (3 papers) and Plant Pathogens and Fungal Diseases (2 papers). Weide Ge collaborates with scholars based in China and United States. Weide Ge's co-authors include Lichao Song, Xuguang Niu, Feng Ming, Matthew W. Blair, Jian Chen, Chao Zhong, Yuning Huang, Jian Chen, Lanfen Wang and Zhao Li and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and Theoretical and Applied Genetics.

In The Last Decade

Weide Ge

6 papers receiving 351 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.

Drought-Tolerant Plant Growth-Promoting Rhizobacteria Associated with Foxtail Millet in a Semi-arid Agroecosystem and Their Potential in Alleviating Drought Stress

2018 305 citations Xuguang Niu, Lichao Song et al. Frontiers in Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weide Ge China	4	335	74	25	24	20	6	359
Wenjie Yue China	6	185 0.6×	59 0.8×	25 1.0×	20 0.8×	12 0.6×	12	244
Mathieu Gonin France	8	297 0.9×	104 1.4×	18 0.7×	23 1.0×	15 0.8×	11	343
Ayaz Ali Keerio Pakistan	7	240 0.7×	72 1.0×	19 0.8×	11 0.5×	13 0.7×	11	280
Shih-Hsun Walter Hung Taiwan	8	270 0.8×	89 1.2×	25 1.0×	31 1.3×	11 0.6×	12	326
C. Felici Italy	7	242 0.7×	81 1.1×	16 0.6×	20 0.8×	29 1.4×	13	265
Chulpan Allagulova Russia	10	325 1.0×	86 1.2×	12 0.5×	10 0.4×	16 0.8×	17	368
Pranita Bose India	4	208 0.6×	75 1.0×	30 1.2×	16 0.7×	8 0.4×	4	231
Martinus Schneijderberg Netherlands	6	243 0.7×	83 1.1×	54 2.2×	34 1.4×	22 1.1×	7	308
H. K. Jaiswal India	10	323 1.0×	54 0.7×	16 0.6×	28 1.2×	13 0.7×	40	345

Countries citing papers authored by Weide Ge

Since Specialization

Citations

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

Fields of papers citing papers by Weide Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weide Ge

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

All Works

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6 of 6 papers shown

1.

Liu, Yu, Feng Ming, Yuning Huang, et al.. (2024). Genome-wide characterization of PEBP genes in Mung bean (Vigna radiata L.) with functional analysis of VrFT1 in relation to photoperiod. Scientific Reports. 14(1). 26413–26413. 2 indexed citations

2.

Liu, Yu, Yuning Huang, Zhao Li, et al.. (2023). Genome-wide identification of the TGA genes in common bean (Phaseolus vulgaris) and revealing their functions in response to Fusarium oxysporum f. sp. phaseoli infection. Frontiers in Genetics. 14. 13 indexed citations

3.

Ming, Feng, et al.. (2021). A methyl esterase 1 (PvMES1) promotes the salicylic acid pathway and enhances Fusarium wilt resistance in common beans. Theoretical and Applied Genetics. 134(8). 2379–2398. 14 indexed citations

4.

Niu, Xuguang, et al.. (2018). Drought-Tolerant Plant Growth-Promoting Rhizobacteria Associated with Foxtail Millet in a Semi-arid Agroecosystem and Their Potential in Alleviating Drought Stress. Frontiers in Microbiology. 8. 2580–2580. 305 indexed citations breakdown →

5.

Wang, Lı, et al.. (2018). Identification and Expression Analysis of Likely Orthologs of Tobacco Salicylic Acid Binding Protein 2 in Common Beans. ACTA AGRONOMICA SINICA. 44(5). 642–649. 1 indexed citations

6.

Wu, Xingbo, Yan Zhuang, Jian Chen, et al.. (2017). Hairy root transgene expression analysis of a secretory peroxidase (PvPOX1) from common bean infected by Fusarium wilt. Plant Science. 260. 1–7. 24 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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