Di Ma

106 total papers · 3.5k total citations
82 papers, 2.6k citations indexed

About

Di Ma is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Di Ma has authored 82 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Neurology and 10 papers in Immunology. Recurrent topics in Di Ma's work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Glaucoma and retinal disorders (5 papers) and Connexins and lens biology (5 papers). Di Ma is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Glaucoma and retinal disorders (5 papers) and Connexins and lens biology (5 papers). Di Ma collaborates with scholars based in China, United States and Hong Kong. Di Ma's co-authors include Jiandie D. Lin, Bruce M. Spiegelman, James P. White, Jun Wu, Christiane D. Wrann, Dina Laznik-Bogoslavski, Michael E. Greenberg, Jiachun Feng, Liangshu Feng and Yulei Hao and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and PLoS ONE.

In The Last Decade

Di Ma

74 papers receiving 2.5k citations

Hit Papers

Exercise Induces Hippocam... 2013 2026 2017 2021 2013 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Di Ma 855 849 394 381 308 82 2.6k
Weikang Cai 1.2k 1.4× 1.1k 1.3× 313 0.8× 274 0.7× 334 1.1× 54 2.8k
Fulvio Florenzano 1.0k 1.2× 894 1.1× 819 2.1× 390 1.0× 369 1.2× 73 2.9k
Juhyun Song 1.2k 1.4× 905 1.1× 315 0.8× 550 1.4× 408 1.3× 128 3.2k
Edward L. Spangler 1000 1.2× 1.0k 1.2× 1.0k 2.6× 396 1.0× 144 0.5× 85 3.4k
Albert Quintana 2.0k 2.4× 764 0.9× 886 2.2× 762 2.0× 286 0.9× 57 4.4k
Ana M. Fernández 1.7k 2.0× 866 1.0× 762 1.9× 398 1.0× 413 1.3× 67 4.1k
Elisa Mitiko Kawamoto 915 1.1× 658 0.8× 414 1.1× 462 1.2× 185 0.6× 67 2.6k
Benson Wui-Man Lau 491 0.6× 366 0.4× 441 1.1× 267 0.7× 165 0.5× 88 2.6k
Chun‐Xia Luo 949 1.1× 680 0.8× 1.0k 2.6× 710 1.9× 143 0.5× 63 3.3k
Fabien Pifferi 701 0.8× 1.3k 1.5× 298 0.8× 322 0.8× 116 0.4× 85 2.7k

Countries citing papers authored by Di Ma

Since Specialization
Citations

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

Fields of papers citing papers by Di Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Ma

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