Y. Kawashima

200 total papers · 1.9k total citations
77 papers, 1.4k citations indexed

About

Y. Kawashima is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Y. Kawashima has authored 77 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Endocrinology, Diabetes and Metabolism and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Y. Kawashima's work include Growth Hormone and Insulin-like Growth Factors (12 papers), Antioxidant Activity and Oxidative Stress (9 papers) and Cardiac, Anesthesia and Surgical Outcomes (6 papers). Y. Kawashima is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (12 papers), Antioxidant Activity and Oxidative Stress (9 papers) and Cardiac, Anesthesia and Surgical Outcomes (6 papers). Y. Kawashima collaborates with scholars based in Japan, United States and China. Y. Kawashima's co-authors include Masaki Honda, Shoshana Yakar, Susumu Kanzaki, H. Takenaka, Motonari Okumura, Keiichi Hanaki, Kazuaki Hirasawa, Hakuto Kageyama, Takashi Hibino and Eiji Nanba and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Y. Kawashima

75 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Y. Kawashima	437	256	252	215	199	77	1.4k
Mitsunobu Kawamura	390 0.9×	257 1.0×	244 1.0×	376 1.7×	266 1.3×	72	1.8k
Yoshiyuki Tamura	576 1.3×	86 0.3×	91 0.4×	276 1.3×	321 1.6×	123	1.7k
Valter Lubrano	325 0.7×	174 0.7×	145 0.6×	224 1.0×	362 1.8×	62	1.6k
Petr Nachtigal	435 1.0×	201 0.8×	61 0.2×	268 1.2×	240 1.2×	87	1.8k
Eric E. Kelley	424 1.0×	76 0.3×	203 0.8×	96 0.4×	160 0.8×	42	1.5k
Mitra Nourbakhsh	582 1.3×	187 0.7×	92 0.4×	84 0.4×	68 0.3×	93	1.6k
Frank R. Smith	666 1.5×	139 0.5×	379 1.5×	132 0.6×	64 0.3×	38	1.7k
Xiaoqian Wu	751 1.7×	83 0.3×	66 0.3×	152 0.7×	204 1.0×	77	1.8k
Abbas Mohammadi	558 1.3×	185 0.7×	56 0.2×	202 0.9×	87 0.4×	79	1.5k
A. Legrand	590 1.4×	179 0.7×	104 0.4×	225 1.0×	87 0.4×	60	1.6k

Countries citing papers authored by Y. Kawashima

Since Specialization

Citations

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

Fields of papers citing papers by Y. Kawashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Kawashima

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