H. Nishimura

52 total papers · 859 total citations
35 papers, 685 citations indexed

About

H. Nishimura is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Ecology. According to data from OpenAlex, H. Nishimura has authored 35 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 9 papers in Molecular Biology and 9 papers in Ecology. Recurrent topics in H. Nishimura's work include Renin-Angiotensin System Studies (10 papers), Physiological and biochemical adaptations (9 papers) and Receptor Mechanisms and Signaling (5 papers). H. Nishimura is often cited by papers focused on Renin-Angiotensin System Studies (10 papers), Physiological and biochemical adaptations (9 papers) and Receptor Mechanisms and Signaling (5 papers). H. Nishimura collaborates with scholars based in United States, Japan and China. H. Nishimura's co-authors include Masashi Imai, Bailey, Mikio OGURI, Chizuko Koseki, Hirofumi Sokabe, WH Sawyer, M. C. Khosla, Makoto Ogawa, Kiyoshi Yamaguchi and Hiroki Nikawa and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Hypertension.

In The Last Decade

H. Nishimura

35 papers receiving 657 citations

Author Peers

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

Author Last Decade Papers Cites
H. Nishimura 270 234 198 88 79 35 685
Francisco J. Morera 280 1.0× 133 0.6× 102 0.5× 114 1.3× 29 0.4× 45 634
Johnnie B. Andersen 96 0.4× 209 0.9× 143 0.7× 44 0.5× 15 0.2× 22 622
Atsushi Iwasawa 187 0.7× 60 0.3× 145 0.7× 40 0.5× 147 1.9× 58 644
J. Bailey 125 0.5× 89 0.4× 53 0.3× 26 0.3× 25 0.3× 41 767
José G. Soñanez‐Organis 141 0.5× 334 1.4× 48 0.2× 164 1.9× 21 0.3× 40 735
Jesús R. del Castillo 456 1.7× 64 0.3× 69 0.3× 37 0.4× 43 0.5× 33 748
G. A. Robinson 56 0.2× 89 0.4× 67 0.3× 37 0.4× 125 1.6× 67 680
Yehuda Arieli 100 0.4× 86 0.4× 30 0.2× 150 1.7× 78 1.0× 44 557
Y. Hasegawa 192 0.7× 49 0.2× 50 0.3× 60 0.7× 32 0.4× 20 694
Qin Hui 334 1.2× 64 0.3× 68 0.3× 85 1.0× 16 0.2× 51 711

Countries citing papers authored by H. Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by H. Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Nishimura

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