Masayuki Chuma

82 total papers · 754 total citations
50 papers, 515 citations indexed

About

Masayuki Chuma is a scholar working on Oncology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Masayuki Chuma has authored 50 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 10 papers in Epidemiology and 9 papers in Infectious Diseases. Recurrent topics in Masayuki Chuma's work include Antimicrobial Resistance in Staphylococcus (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Sepsis Diagnosis and Treatment (6 papers). Masayuki Chuma is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Sepsis Diagnosis and Treatment (6 papers). Masayuki Chuma collaborates with scholars based in Japan, United States and Taiwan. Masayuki Chuma's co-authors include Yoshito Zamami, Keisuke Ishizawa, Mitsuhiro Goda, Kenshi Takechi, Naoto Okada, Masaki Imanishi, Takahiro Niimura, Hirofumi Hamano, Kenta Yagi and Yuki Izawa‐Ishizawa and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Masayuki Chuma

46 papers receiving 511 citations

Author Peers

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

Author						Papers	Cites
Masayuki Chuma	194	119	80	72	66	50	515
Kévin Bihan	154 0.8×	67 0.6×	51 0.6×	85 1.2×	67 1.0×	38	542
Michele Fusaroli	180 0.9×	148 1.2×	47 0.6×	66 0.9×	49 0.7×	44	543
Takahiro Niimura	203 1.0×	128 1.1×	79 1.0×	28 0.4×	26 0.4×	67	501
Patrick J. Kiel	144 0.7×	51 0.4×	97 1.2×	61 0.8×	40 0.6×	39	606
Jianhong Zhu	133 0.7×	170 1.4×	85 1.1×	57 0.8×	19 0.3×	41	535
Haisheng You	136 0.7×	108 0.9×	216 2.7×	133 1.8×	74 1.1×	42	597
Tadanori Sasaki	230 1.2×	48 0.4×	105 1.3×	51 0.7×	33 0.5×	62	559
Keijo Fukushima	122 0.6×	60 0.5×	230 2.9×	39 0.5×	75 1.1×	37	582
Abdulaali R. Almutairi	187 1.0×	80 0.7×	72 0.9×	63 0.9×	39 0.6×	48	585
Daiki Tsuji	159 0.8×	51 0.4×	137 1.7×	62 0.9×	45 0.7×	50	567

Countries citing papers authored by Masayuki Chuma

Since Specialization

Citations

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

Fields of papers citing papers by Masayuki Chuma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Chuma

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