Jiachi Ma

47 total papers · 918 total citations
28 papers, 743 citations indexed

About

Jiachi Ma is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jiachi Ma has authored 28 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jiachi Ma's work include Cytokine Signaling Pathways and Interactions (8 papers), Chemokine receptors and signaling (7 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). Jiachi Ma is often cited by papers focused on Cytokine Signaling Pathways and Interactions (8 papers), Chemokine receptors and signaling (7 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). Jiachi Ma collaborates with scholars based in China and Japan. Jiachi Ma's co-authors include Hiromitsu Takeyama, Yoichi Matsuo, Akira Yasuda, Nobuo Ochi, Hirozumi Sawai, Hiroki Takahashi, Takehiro Wakasugi, Hitoshi Funahashi, Donghui Xu and Mikinori Sato and has published in prestigious journals such as Journal of Clinical Oncology, Experimental Cell Research and World Journal of Gastroenterology.

In The Last Decade

Jiachi Ma

28 papers receiving 736 citations

Author Peers

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

Author						Papers	Cites
Jiachi Ma	394	342	220	159	81	28	743
Fan Zhang	462 1.2×	413 1.2×	195 0.9×	146 0.9×	58 0.7×	22	847
Wang Ling	471 1.2×	267 0.8×	169 0.8×	163 1.0×	54 0.7×	32	798
G. Fürstenberger	457 1.2×	356 1.0×	252 1.1×	155 1.0×	43 0.5×	27	864
Alice Nomura	354 0.9×	426 1.2×	260 1.2×	107 0.7×	75 0.9×	23	883
Francesco Caiazza	293 0.7×	278 0.8×	156 0.7×	74 0.5×	79 1.0×	24	666
Akiko Tanabe	305 0.8×	252 0.7×	155 0.7×	156 1.0×	51 0.6×	24	761
Bao Song	438 1.1×	255 0.7×	351 1.6×	178 1.1×	84 1.0×	33	817
Taro Ueo	281 0.7×	332 1.0×	118 0.5×	140 0.9×	61 0.8×	18	639
Mitsukazu Gotoh	365 0.9×	299 0.9×	275 1.3×	150 0.9×	87 1.1×	30	819
Shucai Yang	505 1.3×	229 0.7×	314 1.4×	152 1.0×	53 0.7×	23	787

Countries citing papers authored by Jiachi Ma

Since Specialization

Citations

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

Fields of papers citing papers by Jiachi Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiachi Ma

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