H Matsuoka

54 total papers · 597 total citations
38 papers, 449 citations indexed

About

H Matsuoka is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, H Matsuoka has authored 38 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 14 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in H Matsuoka's work include Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (6 papers) and Gastric Cancer Management and Outcomes (6 papers). H Matsuoka is often cited by papers focused on Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (6 papers) and Gastric Cancer Management and Outcomes (6 papers). H Matsuoka collaborates with scholars based in Japan and United States. H Matsuoka's co-authors include K Sugimachi, Hiroyuki Kuwano, Shinji Ohno, H Tomoda, Taiji Ueno, Hidemitsu Saito, Takéo Takahashi, Mitsumoto Sato, Kazunori Matsumoto and Shozo Yoshida and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

H Matsuoka

37 papers receiving 435 citations

Author Peers

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

Author						Papers	Cites
H Matsuoka	163	110	103	100	78	38	449
Ryan S. Gallagher	150 0.9×	31 0.3×	52 0.5×	96 1.0×	113 1.4×	28	450
Wenfei Li	83 0.5×	85 0.8×	36 0.3×	99 1.0×	96 1.2×	46	453
Xiaoyun Zhang	82 0.5×	105 1.0×	22 0.2×	40 0.4×	142 1.8×	33	480
Yang Lv	83 0.5×	150 1.4×	43 0.4×	40 0.4×	52 0.7×	33	422
Jinfang Liu	48 0.3×	58 0.5×	22 0.2×	41 0.4×	178 2.3×	34	439
Rajendra Prasad Tripathi	88 0.5×	71 0.6×	13 0.1×	44 0.4×	197 2.5×	23	538
Zlatko Marušić	179 1.1×	93 0.8×	10 0.1×	110 1.1×	118 1.5×	54	499
Dan Shi	110 0.7×	80 0.7×	35 0.3×	84 0.8×	144 1.8×	37	488
Hye-Yoon Lee	89 0.5×	71 0.6×	25 0.2×	34 0.3×	210 2.7×	49	479
Lin Chen	51 0.3×	40 0.4×	27 0.3×	53 0.5×	166 2.1×	41	520

Countries citing papers authored by H Matsuoka

Since Specialization

Citations

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

Fields of papers citing papers by H Matsuoka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Matsuoka

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