Masahisa Masuda

62 total papers · 935 total citations
40 papers, 696 citations indexed

About

Masahisa Masuda is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Masahisa Masuda has authored 40 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 21 papers in Cardiology and Cardiovascular Medicine and 11 papers in Surgery. Recurrent topics in Masahisa Masuda's work include Pulmonary Hypertension Research and Treatments (23 papers), Venous Thromboembolism Diagnosis and Management (11 papers) and Cardiovascular Function and Risk Factors (9 papers). Masahisa Masuda is often cited by papers focused on Pulmonary Hypertension Research and Treatments (23 papers), Venous Thromboembolism Diagnosis and Management (11 papers) and Cardiovascular Function and Risk Factors (9 papers). Masahisa Masuda collaborates with scholars based in Japan, United States and Netherlands. Masahisa Masuda's co-authors include Nobuyuki Nakajima, Nobuhiro Tanabe, Koichiro Tatsumi, Keiichi Ishida, Seiichiro Sakao, Yuichi Takiguchi, Takayuki Kuriyama, Yasunori Kasahara, Goro Matsumiya and Shu Chien and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and CHEST Journal.

In The Last Decade

Masahisa Masuda

38 papers receiving 669 citations

Author Peers

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

Author						Papers	Cites
Masahisa Masuda	592	327	176	145	120	40	696
Saori Yamamoto	432 0.7×	351 1.1×	132 0.8×	68 0.5×	101 0.8×	42	623
David Boulate	517 0.9×	365 1.1×	103 0.6×	171 1.2×	79 0.7×	52	674
Bassam Redwan	296 0.5×	178 0.5×	159 0.9×	149 1.0×	70 0.6×	42	560
Xin‐Hai Ni	497 0.8×	384 1.2×	53 0.3×	89 0.6×	48 0.4×	46	682
Iveta Šimková	482 0.8×	399 1.2×	194 1.1×	70 0.5×	143 1.2×	41	602
U. Hake	334 0.6×	433 1.3×	58 0.3×	221 1.5×	45 0.4×	53	656
Nair Yukie Maeda	356 0.6×	239 0.7×	48 0.3×	96 0.7×	96 0.8×	40	565
Steven C. Pugliese	434 0.7×	213 0.7×	169 1.0×	101 0.7×	36 0.3×	26	749
Peter Steele	180 0.3×	431 1.3×	59 0.3×	280 1.9×	48 0.4×	39	781
Beau M. Hawkins	228 0.4×	235 0.7×	125 0.7×	220 1.5×	22 0.2×	42	696

Countries citing papers authored by Masahisa Masuda

Since Specialization

Citations

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

Fields of papers citing papers by Masahisa Masuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahisa Masuda

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