Haruhiko Kuno

23 total papers · 451 total citations
16 papers, 353 citations indexed

About

Haruhiko Kuno is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Haruhiko Kuno has authored 16 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Haruhiko Kuno's work include Receptor Mechanisms and Signaling (4 papers), Peptidase Inhibition and Analysis (4 papers) and Protease and Inhibitor Mechanisms (4 papers). Haruhiko Kuno is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Peptidase Inhibition and Analysis (4 papers) and Protease and Inhibitor Mechanisms (4 papers). Haruhiko Kuno collaborates with scholars based in Japan. Haruhiko Kuno's co-authors include Motonobu Satoh, Osamu Uchikawa, Masakuni Kori, Jun Terauchi, Naoyuki Kanzaki, Takashi Santou, Hiroshi Nara, Masao Takeuchi, Hideyuki Oki and Kenjiro Sato and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Haruhiko Kuno

15 papers receiving 351 citations

Author Peers

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

Author						Papers	Cites
Haruhiko Kuno	164	114	104	59	50	16	353
Niko Schmiedeberg	199 1.2×	122 1.1×	82 0.8×	81 1.4×	45 0.9×	11	355
Tobias Heinrich	115 0.7×	41 0.4×	60 0.6×	60 1.0×	39 0.8×	19	382
Yanli Xing	185 1.1×	28 0.2×	37 0.4×	21 0.4×	28 0.6×	18	321
Wade H. Aaron	178 1.1×	109 1.0×	55 0.5×	43 0.7×	20 0.4×	17	402
Chengqiang Wang	173 1.1×	26 0.2×	64 0.6×	26 0.4×	27 0.5×	19	305
Zhanzhan Feng	264 1.6×	100 0.9×	35 0.3×	9 0.2×	61 1.2×	19	389
Preetpal S. Sidhu	103 0.6×	21 0.2×	44 0.4×	22 0.4×	91 1.8×	18	315
Kathryn McIntosh	119 0.7×	44 0.4×	93 0.9×	32 0.5×	15 0.3×	12	296
Catherine Magill	153 0.9×	137 1.2×	89 0.9×	90 1.5×	76 1.5×	10	397
Kai‐Chia Yeh	113 0.7×	163 1.4×	20 0.2×	33 0.6×	53 1.1×	18	315

Countries citing papers authored by Haruhiko Kuno

Since Specialization

Citations

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

Fields of papers citing papers by Haruhiko Kuno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruhiko Kuno

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