Shutian Ma

54 total papers · 598 total citations
30 papers, 426 citations indexed

About

Shutian Ma is a scholar working on Geophysics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shutian Ma has authored 30 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Geophysics, 6 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Shutian Ma's work include earthquake and tectonic studies (23 papers), High-pressure geophysics and materials (16 papers) and Seismic Waves and Analysis (11 papers). Shutian Ma is often cited by papers focused on earthquake and tectonic studies (23 papers), High-pressure geophysics and materials (16 papers) and Seismic Waves and Analysis (11 papers). Shutian Ma collaborates with scholars based in Canada, China and United Kingdom. Shutian Ma's co-authors include David W. Eaton, Dariush Motazedian, Anthony M. Jevnikar, Rinee Mukherjee, Bhagirath Singh, C.R. Stiller, Hengwei Qin, Pascal Audet, Iris F. F. Benzie and J Adams and has published in prestigious journals such as Nature Medicine, Journal of Geophysical Research Atmospheres and Analytical Biochemistry.

In The Last Decade

Shutian Ma

30 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Shutian Ma	225	76	75	66	54	30	426
Tongjun Chen	147 0.7×	59 0.8×	1 0.0×	46 0.7×	21 0.4×	47	491
Kohei Kasahara	183 0.8×	71 0.9×	3 0.0×	4 0.1×	63 1.2×	30	395
Ken Yamaoka	77 0.3×	160 2.1×	5 0.1×	19 0.3×	15 0.3×	23	410
Siqi Yang	49 0.2×	303 4.0×	12 0.2×	5 0.1×	13 0.2×	49	434
Jing Wang	38 0.2×	53 0.7×	3 0.0×	7 0.1×	9 0.2×	38	379
Jianqiang Chen	7 0.0×	153 2.0×	8 0.1×	20 0.3×	4 0.1×	23	466
Jaeyeon Kim	77 0.3×	143 1.9×	2 0.0×	19 0.3×	39 0.7×	28	426
Masayuki Yoshimi	259 1.2×	66 0.9×	29 0.4×		45 0.8×	28	394
João Coelho	33 0.1×	122 1.6×	2 0.0×	19 0.3×	21 0.4×	33	382
Tahir Iqbal	123 0.5×	39 0.5×	7 0.1×	1 0.0×	108 2.0×	44	403

Countries citing papers authored by Shutian Ma

Since Specialization

Citations

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

Fields of papers citing papers by Shutian Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shutian Ma

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