Ting Ma

89 total papers · 2.1k total citations
70 papers, 1.6k citations indexed

About

Ting Ma is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Ting Ma has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 12 papers in Cancer Research and 9 papers in Plant Science. Recurrent topics in Ting Ma's work include Epigenetics and DNA Methylation (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Histone Deacetylase Inhibitors Research (5 papers). Ting Ma is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Histone Deacetylase Inhibitors Research (5 papers). Ting Ma collaborates with scholars based in China, United States and New Zealand. Ting Ma's co-authors include Ling‐Yi Kong, Bin Yu, Nan Wang, Chao Zhang, Jian‐Guang Luo, Lei Yang, Wenda Zhang, Chao Han, Jun Luo and Xing Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Materials Chemistry A.

In The Last Decade

Ting Ma

68 papers receiving 1.6k citations

Hit Papers

Targeting epigenetic regu... 2023 2026 2024 2023 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ting Ma 824 197 188 185 166 70 1.6k
Jingjing Wu 906 1.1× 116 0.6× 321 1.7× 133 0.7× 79 0.5× 93 2.1k
Yen‐Hui Chen 1.1k 1.3× 155 0.8× 203 1.1× 102 0.6× 71 0.4× 61 2.1k
Eleonora Turrini 811 1.0× 201 1.0× 257 1.4× 233 1.3× 48 0.3× 62 2.0k
Yumin Chen 740 0.9× 156 0.8× 238 1.3× 81 0.4× 94 0.6× 63 2.0k
Xinhua Lin 1.3k 1.6× 210 1.1× 222 1.2× 166 0.9× 41 0.2× 88 2.3k
Sajjad Karim 892 1.1× 246 1.2× 215 1.1× 182 1.0× 52 0.3× 97 1.8k
Jiandong Luo 925 1.1× 134 0.7× 110 0.6× 72 0.4× 60 0.4× 63 2.3k
Mohammad Hadi Nematollahi 746 0.9× 133 0.7× 130 0.7× 240 1.3× 46 0.3× 95 2.4k
Chiara Martinelli 908 1.1× 183 0.9× 171 0.9× 135 0.7× 36 0.2× 49 2.3k
Elisabetta Meucci 592 0.7× 72 0.4× 181 1.0× 82 0.4× 113 0.7× 70 2.0k

Countries citing papers authored by Ting Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ting Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Ma. A scholar is included among the top collaborators of Ting 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 Ting Ma. Ting 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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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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