Kunihiko Hanew

101 total papers · 1.3k total citations
78 papers, 1.0k citations indexed

About

Kunihiko Hanew is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Kunihiko Hanew has authored 78 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Genetics and 15 papers in Molecular Biology. Recurrent topics in Kunihiko Hanew's work include Growth Hormone and Insulin-like Growth Factors (50 papers), Pituitary Gland Disorders and Treatments (30 papers) and Thyroid Disorders and Treatments (13 papers). Kunihiko Hanew is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (50 papers), Pituitary Gland Disorders and Treatments (30 papers) and Thyroid Disorders and Treatments (13 papers). Kunihiko Hanew collaborates with scholars based in Japan, United States and United Kingdom. Kunihiko Hanew's co-authors include KAORU YOSHINAGA, Atsushi Sasaki, YASUYUKI SHIMIZU, Osamu Murakami, Shuichi Sato, Osamu Shinkawa, Anthony S. Liotta, Andrew N. Margioris, Susumu Yokoya and Toshiaki Tanaka and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Experimental Biology and Medicine.

In The Last Decade

Kunihiko Hanew

76 papers receiving 998 citations

Author Peers

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

Author						Papers	Cites
Kunihiko Hanew	540	223	216	176	153	78	1.0k
A. R. Genazzani	336 0.6×	185 0.8×	151 0.7×	122 0.7×	87 0.6×	56	1.2k
A. M. Lawrence	682 1.3×	186 0.8×	121 0.6×	56 0.3×	83 0.5×	47	1.2k
E Odagiri	438 0.8×	178 0.8×	263 1.2×	103 0.6×	64 0.4×	48	905
William J. DeVito	344 0.6×	295 1.3×	116 0.5×	128 0.7×	36 0.2×	52	986
M. Schroeder	144 0.3×	346 1.6×	163 0.8×	164 0.9×	122 0.8×	74	1.2k
J. Girard	414 0.8×	320 1.4×	97 0.4×	77 0.4×	65 0.4×	64	1.1k
Manuel dos Santos Faria	555 1.0×	132 0.6×	204 0.9×	34 0.2×	82 0.5×	49	1.0k
K Kurachi	307 0.6×	115 0.5×	80 0.4×	77 0.4×	72 0.5×	52	885
T. Ranta	378 0.7×	157 0.7×	76 0.4×	233 1.3×	39 0.3×	59	1.1k
A. P. S. DHARIWAL	384 0.7×	155 0.7×	254 1.2×	58 0.3×	171 1.1×	41	1.1k

Countries citing papers authored by Kunihiko Hanew

Since Specialization

Citations

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

Fields of papers citing papers by Kunihiko Hanew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunihiko Hanew

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