Jinshi Ma

62 total papers · 910 total citations
40 papers, 818 citations indexed

About

Jinshi Ma is a scholar working on Materials Chemistry, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Jinshi Ma has authored 40 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 13 papers in Organic Chemistry and 12 papers in Molecular Biology. Recurrent topics in Jinshi Ma's work include Porphyrin and Phthalocyanine Chemistry (14 papers), Molecular Sensors and Ion Detection (8 papers) and Neonatal Health and Biochemistry (7 papers). Jinshi Ma is often cited by papers focused on Porphyrin and Phthalocyanine Chemistry (14 papers), Molecular Sensors and Ion Detection (8 papers) and Neonatal Health and Biochemistry (7 papers). Jinshi Ma collaborates with scholars based in China, United States and Canada. Jinshi Ma's co-authors include Hongbing Fu, Jiannian Yao, David A. Lightner, Qing Liao, Guoqiang Yang, Qiang Shi, Liwei Huang, Qingqi Chen, Francesc R. Trull and George L. Landen and has published in prestigious journals such as Nature Communications, Applied Physics Letters and The Journal of Physical Chemistry B.

In The Last Decade

Jinshi Ma

38 papers receiving 807 citations

Author Peers

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

Author						Papers	Cites
Jinshi Ma	470	200	177	163	152	40	818
Joan‐Anton Farrera	653 1.4×	70 0.3×	224 1.3×	223 1.4×	433 2.8×	31	1.1k
J.‐H. Fuhrhop	619 1.3×	90 0.5×	273 1.5×	122 0.7×	442 2.9×	24	990
D. L. Cullen	543 1.2×	46 0.2×	202 1.1×	107 0.7×	152 1.0×	32	772
Kannan Muthukumaran	579 1.2×	159 0.8×	380 2.1×	151 0.9×	174 1.1×	23	926
Robert E. Linder	419 0.9×	55 0.3×	92 0.5×	159 1.0×	380 2.5×	46	878
Mangili Venkateswarulu	489 1.0×	109 0.5×	218 1.2×	190 1.2×	136 0.9×	36	764
Makoto Murata	200 0.4×	92 0.5×	430 2.4×	75 0.5×	213 1.4×	37	890
Akito Sasaki	535 1.1×	127 0.6×	132 0.7×	68 0.4×	80 0.5×	33	793
Ching‐Ping Liu	568 1.2×	145 0.7×	72 0.4×	92 0.6×	217 1.4×	31	876
J. R. Miller	533 1.1×	95 0.5×	317 1.8×	135 0.8×	136 0.9×	25	925

Countries citing papers authored by Jinshi Ma

Since Specialization

Citations

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

Fields of papers citing papers by Jinshi Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinshi Ma

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