Li Ma

7.7k total citations
128 papers, 3.5k citations indexed

About

Li Ma is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Li Ma has authored 128 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Genetics, 44 papers in Molecular Biology and 32 papers in Cancer Research. Recurrent topics in Li Ma's work include Genetic and phenotypic traits in livestock (45 papers), Genetic Mapping and Diversity in Plants and Animals (37 papers) and Cancer-related molecular mechanisms research (25 papers). Li Ma is often cited by papers focused on Genetic and phenotypic traits in livestock (45 papers), Genetic Mapping and Diversity in Plants and Animals (37 papers) and Cancer-related molecular mechanisms research (25 papers). Li Ma collaborates with scholars based in United States, China and United Kingdom. Li Ma's co-authors include John B. Cole, Yang Da, P.M. VanRaden, Jicai Jiang, George E. Liu, Li Tian, Zhilin Li, G.R. Wiggans, Curtis P. Van Tassell and Dzianis Prakapenka and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Li Ma

117 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Li Ma United States	32	1.8k	1.1k	739	482	360	128	3.5k
Xianyong Lan China	35	2.5k 1.4×	2.7k 2.5×	1.8k 2.4×	487 1.0×	361 1.0×	316	5.0k
Vincenzo Russo Italy	40	1.8k 1.0×	1.1k 1.0×	510 0.7×	163 0.3×	709 2.0×	172	4.3k
Lin Jiang China	34	1.4k 0.8×	1.5k 1.4×	854 1.2×	171 0.4×	440 1.2×	165	4.1k
Li Fang China	32	642 0.4×	1.9k 1.8×	696 0.9×	209 0.4×	92 0.3×	140	3.4k
Florian Guillou France	39	2.1k 1.2×	3.0k 2.8×	419 0.6×	359 0.7×	82 0.2×	116	5.8k
Eduard Muráni Germany	30	1.3k 0.7×	1.1k 1.0×	500 0.7×	237 0.5×	1.0k 2.9×	168	3.1k
Xiang Zhou China	27	377 0.2×	1.1k 1.0×	293 0.4×	93 0.2×	236 0.7×	91	2.4k
Masami Morimatsu Japan	28	721 0.4×	1.4k 1.3×	465 0.6×	118 0.2×	114 0.3×	113	3.1k
Orna Elroy‐Stein Israel	37	837 0.5×	3.5k 3.2×	302 0.4×	88 0.2×	143 0.4×	75	5.2k
Jason W. Ross United States	37	831 0.5×	1.4k 1.3×	277 0.4×	765 1.6×	1.7k 4.7×	126	4.3k

Countries citing papers authored by Li Ma

Since Specialization

Citations

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

Fields of papers citing papers by Li Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Ma

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gao, Yahui, et al.. (2025). Selection Signature Analysis of Whole-Genome Sequences to Identify Genome Differences Between Selected and Unselected Holstein Cattle. Animals. 15(15). 2247–2247.

Zhang, Jin, Hui Li, Mingkai Chen, et al.. (2025). Triadic Electrophilic Centers Specifically Bind to SMO Transmembrane Domain to Inhibit the Hedgehog Pathway. Angewandte Chemie International Edition. 64(38). e202511720–e202511720. 1 indexed citations

Cheng, Jian, Christian Maltecca, P.M. VanRaden, et al.. (2023). SLEMM: million-scale genomic predictions with window-based SNP weighting. Bioinformatics. 39(3). 9 indexed citations

Prakapenka, Dzianis, et al.. (2023). A Million-Cow Genome-Wide Association Study of Three Fertility Traits in U.S. Holstein Cows. International Journal of Molecular Sciences. 24(13). 10496–10496. 14 indexed citations

Dashraath, Pradip, et al.. (2023). Hyperreactio luteinalis associated with nonimmune fetal hydrops. American Journal of Obstetrics and Gynecology. 229(1). 70–71.

Gaddis, Kristen L. Parker, Francesco Tiezzi, Jicai Jiang, et al.. (2023). Inbreeding depression for producer-recorded udder, metabolic, and reproductive diseases in US dairy cattle. Journal of Dairy Science. 107(5). 3032–3046. 4 indexed citations

Pathan, Mohashin, Duncan McLeod, Rosemary L. Balleine, et al.. (2023). A 19-protein signature to predict outcomes in a cohort of stage II and III CRC.. Journal of Clinical Oncology. 41(16_suppl). 3129–3129.

Zhao, Xin, Ziteng Zhang, Zhaohua Xia, et al.. (2023). DNA methylation analysis explores the molecular basis of plasma cell-free DNA fragmentation. Nature Communications. 14(1). 287–287. 52 indexed citations

Shen, Botong, Ellen Freebern, Jicai Jiang, et al.. (2021). Effect of Temperature and Maternal Age on Recombination Rate in Cattle. Frontiers in Genetics. 12. 682718–682718. 4 indexed citations

10.

Freebern, Ellen, Daniel Jordan de Abreu Santos, Lingzhao Fang, et al.. (2020). GWAS and fine-mapping of livability and six disease traits in Holstein cattle. BMC Genomics. 21(1). 83 indexed citations

11.

Santos, Daniel Jordan de Abreu, Gregório Miguel Ferreira de Camargo, Diércles F. Cardoso, et al.. (2020). Linkage Disequilibrium-Based Inference of Genome Homology and Chromosomal Rearrangements Between Species. G3 Genes Genomes Genetics. 10(7). 2327–2343. 4 indexed citations

12.

Tan, Cheng, et al.. (2020). Haplotype Analysis of Genomic Prediction Using Structural and Functional Genomic Information for Seven Human Phenotypes. Frontiers in Genetics. 11. 588907–588907. 16 indexed citations

13.

Ma, Li, John B. Cole, Yang Da, & P.M. VanRaden. (2018). Symposium review: Genetics, genome-wide association study, and genetic improvement of dairy fertility traits. Journal of Dairy Science. 102(4). 3735–3743. 83 indexed citations

14.

Ma, Li & Kailun Chen. (2018). A Rare Case of Ectopic Pregnancy at a Previous Laparoscopic Adenomyomectomy Scar. Journal of Minimally Invasive Gynecology. 26(3). 384–385. 3 indexed citations

15.

Xu, Lingyang, Yanghua He, Yi Ding, et al.. (2017). Characterization of Copy Number Variation’s Potential Role in Marek’s Disease. International Journal of Molecular Sciences. 18(5). 1020–1020. 9 indexed citations

16.

Ma, Li, et al.. (2015). Ulinastatin decreases permeability of blood--brain barrier by inhibiting expression of MMP-9 and t-PA in postoperative aged rats. International Journal of Neuroscience. 126(5). 463–468. 9 indexed citations

17.

Ma, Li, Guangxin Li, Huaqiang Zhu, et al.. (2014). 2-Methoxyestradiol synergizes with sorafenib to suppress hepatocellular carcinoma by simultaneously dysregulating hypoxia-inducible factor-1 and -2. Cancer Letters. 355(1). 96–105. 85 indexed citations

18.

Ma, Li, G.R. Wiggans, Shengwen Wang, et al.. (2012). Effect of sample stratification on dairy GWAS results. BMC Genomics. 13(1). 536–536. 32 indexed citations

19.

Ma, Li. (2011). Study of diagnostic criteria for gestational diabetes mellitus. 1 indexed citations

20.

Cole, John B., G.R. Wiggans, Li Ma, et al.. (2011). Genome-wide association analysis of thirty one production, health, reproduction and body conformation traits in contemporary U.S. Holstein cows. BMC Genomics. 12(1). 408–408. 364 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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