Makoto Isono

82 total papers · 634 total citations
44 papers, 518 citations indexed

About

Makoto Isono is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Makoto Isono has authored 44 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Surgery and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Makoto Isono's work include Histone Deacetylase Inhibitors Research (8 papers), Bladder and Urothelial Cancer Treatments (7 papers) and Renal cell carcinoma treatment (7 papers). Makoto Isono is often cited by papers focused on Histone Deacetylase Inhibitors Research (8 papers), Bladder and Urothelial Cancer Treatments (7 papers) and Renal cell carcinoma treatment (7 papers). Makoto Isono collaborates with scholars based in Japan, Singapore and United Kingdom. Makoto Isono's co-authors include Akinori Sato, Takako Asano, Tomohiko Asano, Keiichi Ito, Kosuke Miyai, Wolfgang A. Schulz, Günter Niegisch, Maria Pinkerneil, Michèle J. Hoffmann and Jindřich Činátl and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Makoto Isono

42 papers receiving 515 citations

Author Peers

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

Author						Papers	Cites
Makoto Isono	250	139	94	82	77	44	518
Wei‐Hwa Lee	208 0.8×	122 0.9×	85 0.9×	86 1.0×	46 0.6×	26	461
Qiang He	282 1.1×	187 1.3×	72 0.8×	99 1.2×	36 0.5×	28	561
Haiying Wang	192 0.8×	146 1.1×	108 1.1×	65 0.8×	65 0.8×	49	497
Semyon A. Risin	203 0.8×	217 1.6×	99 1.1×	59 0.7×	57 0.7×	25	564
Thomas Tawadros	286 1.1×	83 0.6×	135 1.4×	115 1.4×	113 1.5×	30	569
Karam Khaddour	155 0.6×	196 1.4×	89 0.9×	76 0.9×	40 0.5×	47	528
Yifeng Tao	188 0.8×	90 0.6×	80 0.9×	105 1.3×	97 1.3×	37	504
Cheng Yan	338 1.4×	117 0.8×	110 1.2×	142 1.7×	55 0.7×	38	533
Liangzhi Wen	297 1.2×	95 0.7×	40 0.4×	124 1.5×	75 1.0×	26	512
Nan Chen	222 0.9×	110 0.8×	76 0.8×	57 0.7×	66 0.9×	57	599

Countries citing papers authored by Makoto Isono

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Isono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Isono

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