Lu Ma

2.1k total citations
69 papers, 1.4k citations indexed

About

Lu Ma is a scholar working on Molecular Biology, Plant Science and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lu Ma has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 27 papers in Plant Science and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lu Ma's work include Chromosomal and Genetic Variations (18 papers), Plant Disease Resistance and Genetics (11 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Lu Ma is often cited by papers focused on Chromosomal and Genetic Variations (18 papers), Plant Disease Resistance and Genetics (11 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Lu Ma collaborates with scholars based in China, Germany and United Kingdom. Lu Ma's co-authors include Andreas Houben, Jing Huang, Fei Yang, Lijia Li, Geng Chen, Shui‐zhang Fei, Ingo Schubert, Stefan Heckmann, Yunjin Li and Lijia Li and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Lu Ma

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Ma China 24 793 640 113 100 91 69 1.4k
Rui Gardner Portugal 17 1.0k 1.3× 743 1.2× 127 1.1× 47 0.5× 20 0.2× 41 1.6k
Lili Ma China 22 696 0.9× 419 0.7× 63 0.6× 65 0.7× 32 0.4× 61 1.3k
Neal Gutterson United States 22 1.3k 1.6× 1.7k 2.6× 276 2.4× 56 0.6× 37 0.4× 32 2.7k
E.M. Quistgaard Sweden 18 789 1.0× 582 0.9× 123 1.1× 62 0.6× 112 1.2× 30 1.7k
Ming Ding China 23 1.1k 1.4× 132 0.2× 77 0.7× 77 0.8× 31 0.3× 59 1.9k
Anne Schuster United States 19 729 0.9× 411 0.6× 101 0.9× 69 0.7× 15 0.2× 35 1.4k
Jincheng Wu China 18 553 0.7× 233 0.4× 41 0.4× 175 1.8× 28 0.3× 69 1.3k
Alicja Ziemienowicz Canada 13 857 1.1× 345 0.5× 94 0.8× 38 0.4× 51 0.6× 23 1.2k
Fei Kong China 18 371 0.5× 188 0.3× 60 0.5× 76 0.8× 40 0.4× 77 1.1k
Tongwu Zhang United States 22 1.0k 1.3× 140 0.2× 168 1.5× 36 0.4× 49 0.5× 57 1.5k

Countries citing papers authored by Lu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Ma. A scholar is included among the top collaborators of Lu 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 Lu Ma. Lu 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.
Hu, Hong, Ying Huang, Lu Ma, et al.. (2025). Metagenome-assembled microbial genomes (n = 3,448) of the oral microbiomes of Tibetan and Duroc pigs. Scientific Data. 12(1). 141–141.
2.
3.
Ling, Jie, Xin Peng, Xianlin Liu, et al.. (2023). A Novel <i>EYA1</i> Mutation Causing Alternative RNA Splicing in a Chinese Family With Branchio-Oto Syndrome: Implications for Molecular Diagnosis and Clinical Application. Clinical and Experimental Otorhinolaryngology. 16(4). 342–358. 2 indexed citations
4.
Leitch, Andrew R., Lu Ma, Steven Dodsworth, et al.. (2023). The Role of Chromatin Modifications in the Evolution of Giant Plant Genomes. Plants. 12(11). 2159–2159. 2 indexed citations
5.
Dai, Liming, et al.. (2023). SELENIUM REGULATION OF THE GRAIN YIELD, DRY MATTER, ANTIOXIDANT ATTRIBUTES, AND METAL CONTENTS OF FRAGRANT RICE UNDER STRESS OF CADMIUM AND LEAD. Applied Ecology and Environmental Research. 21(3). 2507–2519. 2 indexed citations
6.
Duan, Yehui, Changbing Zheng, Jie Zheng, et al.. (2022). Profiles of muscular amino acids, fatty acids, and metabolites in Shaziling pigs of different ages and relation to meat quality. Science China Life Sciences. 66(6). 1323–1339. 35 indexed citations
7.
Liu, Jun, et al.. (2022). Identification of the cell wall proteins associated with the softening of Lycium barbarum L. fruit by using iTRAQ technology. Food Chemistry Molecular Sciences. 4. 100110–100110. 7 indexed citations
8.
Fang, Dong, Yong Liu, Zhiyue Zhang, et al.. (2017). Postnatal Alteration of Monocarboxylate Transporter 1 Expression in the Rat Corpus Callosum. Physiological Research. 66(2). 345–355. 4 indexed citations
9.
Wang, Ke, Yuexing Yuan, Xin Liu, et al.. (2016). Cardiac Specific Overexpression of Mitochondrial Omi/HtrA2 Induces Myocardial Apoptosis and Cardiac Dysfunction. Scientific Reports. 6(1). 37927–37927. 33 indexed citations
10.
Manetto, Antonio, et al.. (2016). Fluorescent labelling of in situ hybridisation probes through the copper-catalysed azide-alkyne cycloaddition reaction. Chromosome Research. 24(3). 299–307. 3 indexed citations
11.
Becher, Hannes, Lu Ma, Laura J. Kelly, et al.. (2014). Endogenous pararetrovirus sequences associated with 24 nt small RNA s at the centromeres of Fritillaria imperialis L . ( L iliaceae), a species with a giant genome. The Plant Journal. 80(5). 823–833. 23 indexed citations
12.
Poursarebani, Naser, Lu Ma, Thomas Schmutzer, Andreas Houben, & Nils Stein. (2014). FISH Mapping for Physical Map Improvement in the Large Genome of Barley: A Case Study on Chromosome 2H. Cytogenetic and Genome Research. 143(4). 275–279. 4 indexed citations
13.
Ma, Lu, Ke Wang, Xin Liu, et al.. (2014). Anti-Peroxynitrite Treatment Ameliorated Vasorelaxation of Resistance Arteries in Aging Rats: Involvement with NO-sGC-cGKs Pathway. PLoS ONE. 9(8). e104788–e104788. 18 indexed citations
14.
Schmutzer, Thomas, et al.. (2013). Kmasker - A Tool for in silico Prediction of Single-Copy FISH Probes for the Large-Genome Species <b><i>Hordeum vulgare</i></b>. Cytogenetic and Genome Research. 142(1). 66–78. 17 indexed citations
15.
Li, Jun, Shibin He, Lu Zhang, et al.. (2011). Telomere and 45S rDNA sequences are structurally linked on the chromosomes in Chrysanthemum segetum L.. PROTOPLASMA. 249(1). 207–215. 13 indexed citations
16.
Heckmann, Stefan, E. Schroeder-Reiter, Katrin Kumke, et al.. (2011). Holocentric Chromosomes of <i>Luzula elegans</i> Are Characterized by a Longitudinal Centromere Groove, Chromosome Bending, and a Terminal Nucleolus Organizer Region. Cytogenetic and Genome Research. 134(3). 220–228. 53 indexed citations
17.
Kapusi, Eszter, Lu Ma, Chee How Teo, et al.. (2011). Telomere-mediated truncation of barley chromosomes. Chromosoma. 121(2). 181–190. 42 indexed citations
18.
19.
Huang, Jing, Lu Ma, Fei Yang, Shui‐zhang Fei, & Lijia Li. (2008). 45S rDNA Regions Are Chromosome Fragile Sites Expressed as Gaps In Vitro on Metaphase Chromosomes of Root-Tip Meristematic Cells in Lolium spp. PLoS ONE. 3(5). e2167–e2167. 77 indexed citations
20.
Yang, Jinling, Lu Ma, Yan Zhang, Fang Fang, & Lijia Li. (2007). Flow cytometric identification of two different rhodamine-123-stained mitochondrial populations in maize leaves. PROTOPLASMA. 231(3-4). 249–252. 11 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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