Xiaoya Ma

990 total citations
26 papers, 383 citations indexed

About

Xiaoya Ma is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology and Genetics. According to data from OpenAlex, Xiaoya Ma has authored 26 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Xiaoya Ma's work include Genetic and phenotypic traits in livestock (8 papers), Plant Pathogens and Fungal Diseases (6 papers) and Plant and animal studies (5 papers). Xiaoya Ma is often cited by papers focused on Genetic and phenotypic traits in livestock (8 papers), Plant Pathogens and Fungal Diseases (6 papers) and Plant and animal studies (5 papers). Xiaoya Ma collaborates with scholars based in China, Thailand and United States. Xiaoya Ma's co-authors include B. Zhong, Xianguang Hou, Lingxiao Yang, S. Blair Hedges, Ji‐Chuan Kang, Xiaofan Zhou, George D. Stanley, Jie Zhao, Jie Zhao and Jan Bergström and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and Molecular Biology and Evolution.

In The Last Decade

Xiaoya Ma

24 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoya Ma China 11 163 130 110 102 87 26 383
Anna Syme Australia 9 71 0.4× 76 0.6× 49 0.4× 66 0.6× 39 0.4× 19 307
Pavel Říha Czechia 12 221 1.4× 52 0.4× 40 0.4× 264 2.6× 18 0.2× 13 411
Ferozah Conrad South Africa 5 200 1.2× 381 2.9× 69 0.6× 298 2.9× 35 0.4× 5 687
P. M. Jørgensen Norway 6 205 1.3× 74 0.6× 62 0.6× 250 2.5× 26 0.3× 17 402
Arnoldo Santos Guerra Spain 9 207 1.3× 98 0.8× 55 0.5× 199 2.0× 56 0.6× 51 428
James R. P. Worth Japan 15 200 1.2× 319 2.5× 86 0.8× 294 2.9× 20 0.2× 42 742
Joeri S. Strijk China 15 144 0.9× 368 2.8× 26 0.2× 422 4.1× 37 0.4× 39 618
Masatsugu Yokota Japan 12 218 1.3× 212 1.6× 50 0.5× 240 2.4× 17 0.2× 64 469
Weston Testo United States 18 198 1.2× 138 1.1× 54 0.5× 808 7.9× 36 0.4× 46 926
Meritxell Antó Spain 9 56 0.3× 243 1.9× 34 0.3× 18 0.2× 35 0.4× 11 466

Countries citing papers authored by Xiaoya Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoya Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoya Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoya Ma. A scholar is included among the top collaborators of Xiaoya 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 Xiaoya Ma. Xiaoya Ma 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.
Zhang, Li‐Jun, Luís A. Buatois, M. Gabriela Mángano, et al.. (2025). Trace fossils from the Meishucun section of South China: revisiting ichnotaxonomy, behavioural diversification and ecosystem engineering from a key Ediacaran–Cambrian succession. Papers in Palaeontology. 11(2). 2 indexed citations
2.
Ma, Xiaoya, Chi Zhang, Lingxiao Yang, S. Blair Hedges, & B. Zhong. (2025). New insights on angiosperm crown age based on Bayesian node dating and skyline fossilized birth-death approaches. Nature Communications. 16(1). 2265–2265. 2 indexed citations
4.
Ma, Xiaoya, et al.. (2024). Transcriptome-Wide Association Study Reveals Potentially Candidate Genes Responsible for Milk Production Traits in Buffalo. International Journal of Molecular Sciences. 25(5). 2626–2626. 4 indexed citations
5.
Deng, Tingxian, et al.. (2024). Multi-omics analysis provides insight into the genetic basis of proline-derived milk microbiota in buffalo. Food Bioscience. 59. 103942–103942. 2 indexed citations
6.
Deng, Tingxian, et al.. (2024). Genome-wide copy number variant analysis reveals candidate genes associated with milk production traits in water buffalo (Bubalus bubalis). Journal of Dairy Science. 107(9). 7022–7037. 3 indexed citations
7.
Ma, Xiaoya, et al.. (2023). A Reinvestigation of Multiple Independent Evolution and Triassic–Jurassic Origins of Multicellular Volvocine Algae. Genome Biology and Evolution. 15(8). 4 indexed citations
8.
Ma, Xiaoya, Qiuping Wang, Xiaolin Tian, et al.. (2023). Phylotranscriptomics unveil a Paleoproterozoic-Mesoproterozoic origin and deep relationships of the Viridiplantae. Nature Communications. 14(1). 5542–5542. 19 indexed citations
9.
Zhang, Zhenhua, et al.. (2022). Origin and evolution of green plants in the light of key evolutionary events. Journal of Integrative Plant Biology. 64(2). 516–535. 23 indexed citations
10.
Hou, Zheng, Xiaoya Ma, Xi Li, et al.. (2022). Phylotranscriptomic insights into a Mesoproterozoic–Neoproterozoic origin and early radiation of green seaweeds (Ulvophyceae). Nature Communications. 13(1). 1610–1610. 31 indexed citations
11.
Ma, Xiaoya, et al.. (2022). Genome-wide analysis of runs of homozygosity in Italian Mediterranean buffalo. Journal of Dairy Science. 105(5). 4324–4334. 5 indexed citations
12.
Yang, Lingxiao, et al.. (2021). Large-Scale Phylogenomic Analyses Reveal the Monophyly of Bryophytes and Neoproterozoic Origin of Land Plants. Molecular Biology and Evolution. 38(8). 3332–3344. 72 indexed citations
13.
Ma, Xiaoya, Sureeporn Nontachaiyapoom, Kevin D. Hyde, et al.. (2020). Biscogniauxia dendrobii sp. nov. and B. petrensis from Dendrobium orchids and the first report of cytotoxicity (towards A549 and K562) of B. petrensis (MFLUCC 14-0151) in vitro. South African Journal of Botany. 134. 382–393. 7 indexed citations
14.
Bai, Mingzhou, Chi Zhang, Junhui Chen, et al.. (2019). Global transcriptome analysis of different stages of preimplantation embryo development in river buffalo. PeerJ. 7. e8185–e8185. 2 indexed citations
15.
Qiao, Lijun, Ruvishika S. Jayawardena, Kevin D. Hyde, et al.. (2019). Two new endophytic Colletotrichum species from Nothapodytes pittosporoides in China. MycoKeys. 49. 1–14. 11 indexed citations
16.
Ma, Xiaoya, Sureeporn Nontachaiyapoom, Ruvishika S. Jayawardena, et al.. (2018). Endophytic Colletotrichum species from Dendrobium spp. in China and Northern Thailand. MycoKeys. 43(43). 23–57. 48 indexed citations
17.
Deng, Tingxian, et al.. (2018). Molecular characterisation of the buffaloSCAPgene and its association with milk production traits in water buffaloes. Journal of Dairy Research. 85(2). 133–137.
18.
Deng, Tingxian, et al.. (2017). Buffalo SREBP1: molecular cloning, expression and association analysis with milk production traits. Animal Genetics. 48(6). 720–721. 9 indexed citations
19.
Qiao, Lijun, et al.. (2017). A new species of Monilochaetes from Nothapodytes pittosporoides. Phytotaxa. 326(2). 5 indexed citations
20.
Deng, Tingxian, et al.. (2016). Four novel polymorphisms of buffalo INSIG2 gene are associated with milk production traits in Chinese buffaloes. Molecular and Cellular Probes. 30(5). 294–299. 13 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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