Xiaoli Ma

921 total citations · 1 hit paper
10 papers, 590 citations indexed

About

Xiaoli Ma is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Xiaoli Ma has authored 10 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Plant Science and 1 paper in Genetics. Recurrent topics in Xiaoli Ma's work include Single-cell and spatial transcriptomics (5 papers), Plant Molecular Biology Research (4 papers) and Genomics and Phylogenetic Studies (2 papers). Xiaoli Ma is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Plant Molecular Biology Research (4 papers) and Genomics and Phylogenetic Studies (2 papers). Xiaoli Ma collaborates with scholars based in Germany, China and United States. Xiaoli Ma's co-authors include Marja C.P. Timmermans, Tom Denyer, Emanuele Scacchi, Kay Nieselt, Rui Wu, Bo Hu, Ying‐Juan Cheng, Jiawei Wang, Xiuli Bi and Chang Liu and has published in prestigious journals such as PLANT PHYSIOLOGY, Genome Research and Developmental Cell.

In The Last Decade

Xiaoli Ma

10 papers receiving 582 citations

Hit Papers

Spatiotemporal Developmental Trajectories in the Arabidop... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Ma Germany 7 430 367 34 25 19 10 590
Tom Denyer Germany 7 467 1.1× 465 1.3× 29 0.9× 36 1.4× 19 1.0× 9 693
Kook Hui Ryu United States 12 681 1.6× 660 1.8× 24 0.7× 39 1.6× 15 0.8× 13 898
Gina Turco United States 10 506 1.2× 491 1.3× 82 2.4× 25 1.0× 8 0.4× 11 723
Kevin Verstaen Belgium 8 285 0.7× 257 0.7× 10 0.3× 21 0.8× 20 1.1× 9 425
Thomas Eekhout Belgium 15 466 1.1× 600 1.6× 22 0.6× 18 0.7× 18 0.9× 27 739
Cristina M Alexandre United States 9 541 1.3× 545 1.5× 31 0.9× 33 1.3× 16 0.8× 11 731
Emanuele Scacchi Germany 10 935 2.2× 1.2k 3.3× 25 0.7× 23 0.9× 12 0.6× 12 1.4k
Alessandra Dal Molin Italy 9 250 0.6× 372 1.0× 28 0.8× 9 0.4× 51 2.7× 14 534
Yue Xu China 13 503 1.2× 452 1.2× 23 0.7× 5 0.2× 9 0.5× 32 698

Countries citing papers authored by Xiaoli Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Ma

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

All Works

10 of 10 papers shown
1.
Ma, Xiaoli & Wen‐Xiong Wang. (2024). Unveiling osmoregulation and immunological adaptations in Eleutheronema tetradactylum gills through high-throughput single-cell transcriptome sequencing. Fish & Shellfish Immunology. 154. 109878–109878. 1 indexed citations
2.
Autour, Alexis, et al.. (2022). Technological and computational advances driving high-throughput oncology. Trends in Cell Biology. 32(11). 947–961. 9 indexed citations
3.
Ma, Xiaoli, Tom Denyer, Marie Javelle, Antje Feller, & Marja C.P. Timmermans. (2021). Genome-wide analysis of plant miRNA action clarifies levels of regulatory dynamics across developmental contexts. Genome Research. 31(5). 811–822. 15 indexed citations
4.
Ma, Xiaoli, Tom Denyer, & Marja C.P. Timmermans. (2020). PscB: A Browser to Explore Plant Single Cell RNA-Sequencing Data Sets. PLANT PHYSIOLOGY. 183(2). 464–467. 33 indexed citations
5.
Javelle, Marie, Lin Li, Xianran Li, et al.. (2019). A high-resolution gene expression atlas links dedicated meristem genes to key architectural traits. Genome Research. 29(12). 1962–1973. 42 indexed citations
6.
Denyer, Tom, et al.. (2019). Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing. Developmental Cell. 48(6). 840–852.e5. 362 indexed citations breakdown →
8.
Bi, Xiuli, Ying‐Juan Cheng, Bo Hu, et al.. (2017). Nonrandom domain organization of the Arabidopsis genome at the nuclear periphery. Genome Research. 27(7). 1162–1173. 86 indexed citations
9.
Yu, Qian, Ke‐Wu Zeng, Xiaoli Ma, et al.. (2017). Ginsenoside Rk1 suppresses pro-inflammatory responses in lipopolysaccharide-stimulated RAW264.7 cells by inhibiting the Jak2/Stat3 pathway. Chinese Journal of Natural Medicines. 15(10). 751–757. 37 indexed citations
10.
Wang, Yajie, Xiaoli Ma, Yue-Shan Piao, Yongjuan Fu, & Li Chen. (2014). Gliomatosis cerebri:a clinicalpathologic study of 37 cases. Chin J Neurol. 47(3). 159–162. 1 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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