Xiaoxia Jin

542 total citations
34 papers, 372 citations indexed

About

Xiaoxia Jin is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Xiaoxia Jin has authored 34 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 11 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Xiaoxia Jin's work include Plant Stress Responses and Tolerance (10 papers), Plant Molecular Biology Research (10 papers) and Plant Parasitism and Resistance (6 papers). Xiaoxia Jin is often cited by papers focused on Plant Stress Responses and Tolerance (10 papers), Plant Molecular Biology Research (10 papers) and Plant Parasitism and Resistance (6 papers). Xiaoxia Jin collaborates with scholars based in China, Pakistan and United States. Xiaoxia Jin's co-authors include Lijie Yu, Jeffrey J. Chalmers, Maciej Zborowski, Chao Chen, Gaoyang Wang, Pengtao Gong, Yingjun Liao, Xichen Zhang, Sherif S. Farag and Qi Sun and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Geophysical Research Letters.

In The Last Decade

Xiaoxia Jin

34 papers receiving 371 citations

Peers

Xiaoxia Jin
Dorothy J. Nesbit United States
Miao Sun China
R. Conor Higgins United States
R. J. Newsam United Kingdom
Chunfang Wei United States
Dorothy J. Nesbit United States
Xiaoxia Jin
Citations per year, relative to Xiaoxia Jin Xiaoxia Jin (= 1×) peers Dorothy J. Nesbit

Countries citing papers authored by Xiaoxia Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxia Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxia Jin

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

All Works

20 of 20 papers shown
1.
Wang, Hongyu, et al.. (2024). Overexpression of cucumber CYP82D47 enhances resistance to powdery mildew and Fusarium oxysporum f. sp. cucumerinum. Functional & Integrative Genomics. 24(1). 14–14. 3 indexed citations
5.
Ding, Deqiang, Xue Mi, Jingyu Wu, et al.. (2023). GsPKS24, a calcineurin B-like protein-interacting protein kinase gene from Glycine soja, positively regulates tolerance to pH stress and ABA signal transduction. Functional & Integrative Genomics. 23(3). 276–276. 4 indexed citations
7.
Lu, Mengdi, et al.. (2023). UDP-glycosyltransferase gene SlUGT73C1 from Solanum lycopersicum regulates salt and drought tolerance in Arabidopsis thaliana L.. Functional & Integrative Genomics. 23(4). 320–320. 7 indexed citations
8.
Zhao, Jiuwei, et al.. (2023). The Characteristics of the Yangtze Flooding During 1998 and 2020 Based on Atmospheric Water Tracing. Geophysical Research Letters. 50(19). 8 indexed citations
11.
Chen, Chen, et al.. (2022). Exogenous strigolactones enhance tolerance in soybean seedlings in response to alkaline stress. Physiologia Plantarum. 174(5). e13784–e13784. 11 indexed citations
13.
Zhang, Xu, Haihang Wang, Xiaoxia Jin, et al.. (2022). Genome-wide identification and characterization of NHL gene family in response to alkaline stress, ABA and MEJA treatments in wild soybean ( Glycine soja ). PeerJ. 10. e14451–e14451. 8 indexed citations
14.
Li, Qian, et al.. (2021). SlUPS , a U‐box type E3 ubiquitin ligase gene of Lycopersicon esculentum Mill., confers the capacity of cadmium stress resistance in Arabidopsis. New Zealand Journal of Crop and Horticultural Science. 51(3). 384–399. 2 indexed citations
15.
Jin, Xiaoxia, et al.. (2020). Analysis of 2,4-epibrassinolide created an enhancement tolerance on Cd toxicity in Solanum nigrum L.. Environmental Science and Pollution Research. 27(14). 16784–16797. 25 indexed citations
17.
Jin, Xiaoxia, et al.. (2017). Activation of ERK Signaling via TLR11 Induces IL-12p40 Production in Peritoneal Macrophages Challenged by Neospora caninum. Frontiers in Microbiology. 8. 1393–1393. 16 indexed citations
18.
Jin, Xiaoxia, et al.. (2016). The p38 MAPK inhibitor, SB203580, inhibits cell invasion by Neospora caninum. Parasitology Research. 116(2). 813–819. 8 indexed citations
19.
Jin, Xiaoxia, Stewart Abbot, Xiaokui Zhang, et al.. (2012). Erythrocyte Enrichment in Hematopoietic Progenitor Cell Cultures Based on Magnetic Susceptibility of the Hemoglobin. PLoS ONE. 7(8). e39491–e39491. 14 indexed citations
20.
Jin, Xiaoxia, Yang Zhao, Lee R. Moore, et al.. (2008). Differences in magnetically induced motion of diamagnetic, paramagnetic, and superparamagnetic microparticles detected by cell tracking velocimetry. The Analyst. 133(12). 1767–1767. 21 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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