Masashi Tawa

82 total papers · 634 total citations
59 papers, 504 citations indexed

About

Masashi Tawa is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Biochemistry. According to data from OpenAlex, Masashi Tawa has authored 59 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Physiology, 28 papers in Cardiology and Cardiovascular Medicine and 16 papers in Biochemistry. Recurrent topics in Masashi Tawa's work include Nitric Oxide and Endothelin Effects (39 papers), Eicosanoids and Hypertension Pharmacology (15 papers) and Renin-Angiotensin System Studies (13 papers). Masashi Tawa is often cited by papers focused on Nitric Oxide and Endothelin Effects (39 papers), Eicosanoids and Hypertension Pharmacology (15 papers) and Renin-Angiotensin System Studies (13 papers). Masashi Tawa collaborates with scholars based in Japan, Egypt and United States. Masashi Tawa's co-authors include Tomio Okamura, Mamoru Ohkita, Yasuo Matsumura, Takeshi Imamura, Kento Kitada, Ayman Geddawy, Keisuke Nakagawa, Kazuhide Ayajiki, Takaharu Ishibashi and Takayoshi Masuoka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Masashi Tawa

57 papers receiving 500 citations

Author Peers

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

Author						Papers	Cites
Masashi Tawa	231	198	110	83	78	59	504
Toshihiro Matsuzaki	233 1.0×	147 0.7×	124 1.1×	61 0.7×	61 0.8×	38	576
Christine Capdeville‐Atkinson	242 1.0×	237 1.2×	150 1.4×	79 1.0×	32 0.4×	38	582
Belén Climent	248 1.1×	184 0.9×	146 1.3×	42 0.5×	41 0.5×	35	572
A.B. Ebeigbe	229 1.0×	112 0.6×	113 1.0×	56 0.7×	26 0.3×	51	482
Haruo Araki	165 0.7×	280 1.4×	112 1.0×	41 0.5×	53 0.7×	36	555
Manuel Ochoa	238 1.0×	292 1.5×	161 1.5×	54 0.7×	74 0.9×	22	606
Didona Ungureanu	254 1.1×	201 1.0×	119 1.1×	35 0.4×	145 1.9×	42	538
Sahar M. El‐Gowilly	105 0.5×	182 0.9×	173 1.6×	58 0.7×	34 0.4×	52	592
Seigo Fujimoto	249 1.1×	114 0.6×	248 2.3×	98 1.2×	27 0.3×	49	599
Camille M. Balarini	153 0.7×	175 0.9×	181 1.6×	55 0.7×	39 0.5×	27	613

Countries citing papers authored by Masashi Tawa

Since Specialization

Citations

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

Fields of papers citing papers by Masashi Tawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Tawa

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