Lingwei Ma

432 total citations
10 papers, 280 citations indexed

About

Lingwei Ma is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Aging. According to data from OpenAlex, Lingwei Ma has authored 10 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 4 papers in Reproductive Medicine and 3 papers in Aging. Recurrent topics in Lingwei Ma's work include Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Lingwei Ma is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Lingwei Ma collaborates with scholars based in China. Lingwei Ma's co-authors include Jinjin Zhang, Shixuan Wang, Meng Wu, Zhiyong Lu, Liru Xue, Yan Jin, Jun Dai, Aiyue Luo, Su Zhou and Pengfei Cui and has published in prestigious journals such as Clinical Infectious Diseases, Stem Cells and Experimental Cell Research.

In The Last Decade

Lingwei Ma

10 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lingwei Ma China	9	101	74	72	62	51	10	280
Tracy Williams United States	8	76 0.8×	102 1.4×	32 0.4×	117 1.9×	46 0.9×	10	440
Federica Finocchi Italy	8	53 0.5×	84 1.1×	24 0.3×	53 0.9×	24 0.5×	13	185
Yingming Zheng China	8	75 0.7×	82 1.1×	65 0.9×	69 1.1×	27 0.5×	18	286
Emanuele Garzia Italy	10	61 0.6×	128 1.7×	63 0.9×	102 1.6×	160 3.1×	19	391
Chandrashekara Kyathanahalli United States	13	41 0.4×	39 0.5×	43 0.6×	186 3.0×	89 1.7×	24	448
Ayelén Toro Argentina	10	37 0.4×	22 0.3×	145 2.0×	82 1.3×	78 1.5×	21	406
Prashanth Anamthathmakula United States	11	82 0.8×	90 1.2×	40 0.6×	101 1.6×	79 1.5×	23	349
Yurong Zhang China	12	61 0.6×	85 1.1×	4 0.1×	85 1.4×	45 0.9×	25	341
Sarah Dickson United Kingdom	8	139 1.4×	138 1.9×	94 1.3×	222 3.6×	105 2.1×	17	524

Countries citing papers authored by Lingwei Ma

Since Specialization

Citations

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

Fields of papers citing papers by Lingwei Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingwei Ma

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

All Works

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10 of 10 papers shown

Ma, Lingwei, Huan Lu, Yanzhi Feng, et al.. (2024). Adenovirus-mediated Sirt1 and Tgfbr2 gene therapy improves fertility in natural ovarian aging and doxorubicin-induced premature ovarian insufficiency mice. Materials & Design. 238. 112693–112693. 1 indexed citations

Ma, Lingwei, et al.. (2022). Current Animal Model Systems for Ovarian Aging Research. Aging and Disease. 13(4). 1183–1183. 24 indexed citations

Wu, Meng, Zhiyong Lu, Qingqing Zhu, et al.. (2022). DDX04+ Stem Cells in the Ovaries of Postmenopausal Women: Existence and Differentiation Potential. Stem Cells. 40(1). 88–101. 9 indexed citations

Wu, Meng, Lingwei Ma, Liru Xue, et al.. (2021). Co-expression of the SARS-CoV-2 entry molecules ACE2 and TMPRSS2 in human ovaries: Identification of cell types and trends with age. Genomics. 113(6). 3449–3460. 26 indexed citations

Ma, Lingwei, Huan Lu, Runhua Chen, et al.. (2020). Identification of Key Genes and Potential New Biomarkers for Ovarian Aging: A Study Based on RNA-Sequencing Data. Frontiers in Genetics. 11. 590660–590660. 24 indexed citations

Ding, Ting, Jinjin Zhang, Tian Wang, et al.. (2020). Potential Influence of Menstrual Status and Sex Hormones on Female Severe Acute Respiratory Syndrome Coronavirus 2 Infection: A Cross-sectional Multicenter Study in Wuhan, China. Clinical Infectious Diseases. 72(9). e240–e248. 89 indexed citations

Shen, Wei, Wei Yan, Su Zhou, et al.. (2019). What Changed on the Folliculogenesis in the Process of Mouse Ovarian Aging?. BioMed Research International. 2019. 1–10. 8 indexed citations

Wu, Meng, Lingwei Ma, Liru Xue, et al.. (2019). Resveratrol alleviates chemotherapy-induced oogonial stem cell apoptosis and ovarian aging in mice. Aging. 11(3). 1030–1044. 68 indexed citations

Xiong, Jiaqiang, Meng Wu, Qinghua Zhang, et al.. (2019). Proteomic analysis of mouse ovaries during the prepubertal stages. Experimental Cell Research. 377(1-2). 36–46. 14 indexed citations

10.

Wu, Meng, Jiaqiang Xiong, Lingwei Ma, et al.. (2018). Enrichment of Female Germline Stem Cells from Mouse Ovaries Using the Differential Adhesion Method. Cellular Physiology and Biochemistry. 46(5). 2114–2126. 17 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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