Ma Yt

1.3k total citations
5 papers, 51 citations indexed

About

Ma Yt is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Ma Yt has authored 5 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 1 paper in Surgery and 1 paper in Molecular Biology. Recurrent topics in Ma Yt's work include Nutrition, Genetics, and Disease (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Signaling Pathways in Disease (1 paper). Ma Yt is often cited by papers focused on Nutrition, Genetics, and Disease (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Signaling Pathways in Disease (1 paper). Ma Yt collaborates with scholars based in China. Ma Yt's co-authors include Feng Liu, Li Xm, Yihui Wang, Ziying Fu, Ma X, Liangsheng Du, Xiangyu Gao, Yajing Huang, Xiaoping Xie and Xiang Xie and has published in prestigious journals such as PubMed and Yearbook of pediatric endocrinology.

In The Last Decade

Ma Yt

5 papers receiving 51 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ma Yt China 3 35 13 12 6 5 5 51
Rufeng Dai China 5 42 1.2× 23 1.8× 8 0.7× 4 0.7× 5 1.0× 14 71
Ajar Koçak Türkiye 4 16 0.5× 13 1.0× 8 0.7× 3 0.5× 5 1.0× 13 29
Weiguo Jia China 5 12 0.3× 18 1.4× 6 0.5× 14 2.3× 5 1.0× 6 51
Bart Loeys Belgium 4 26 0.7× 19 1.5× 6 0.5× 5 0.8× 2 0.4× 6 39
Oana Moldovan Portugal 4 15 0.4× 12 0.9× 4 0.3× 4 0.7× 5 1.0× 18 46
Аntoniya Kisheva Bulgaria 4 21 0.6× 9 0.7× 3 0.3× 7 1.2× 5 1.0× 10 33
Annette Schweda Germany 4 8 0.2× 10 0.8× 9 0.8× 3 0.5× 4 0.8× 4 39
Erik P.A. van Iperen Netherlands 5 8 0.2× 6 0.5× 7 0.6× 14 2.3× 13 2.6× 6 42
Ulrike Esslinger France 2 13 0.4× 18 1.4× 10 0.8× 2 0.3× 2 0.4× 3 34
V K Ajith Kumar United Kingdom 4 11 0.3× 5 0.4× 13 1.1× 3 0.5× 12 2.4× 4 36

Countries citing papers authored by Ma Yt

Since Specialization
Citations

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

Fields of papers citing papers by Ma Yt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ma Yt

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

All Works

5 of 5 papers shown
1.
Zhang, YY, Ziying Fu, Wei Ji, et al.. (2018). A LIMA1 variant promotes low plasma LDL cholesterol and decreases intestinal cholesterol absorption. Yearbook of pediatric endocrinology. 9 indexed citations
3.
4.
Yt, Ma, Xiang Xie, Feng Liu, et al.. (2010). [Association of ankle-brachial index and pulse wave velocity with stroke in Han, Uighur, and Kazakh population of Xinjiang].. PubMed. 31(11). 1255–8. 2 indexed citations
5.
Yt, Ma, Feng Liu, Dejia Huang, et al.. (2010). [Incidence and distributing feature of chronic heart failure in adult population of Xinjiang].. PubMed. 38(5). 460–4. 27 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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