Shuhei Hakiri

46 total papers · 458 total citations
28 papers, 280 citations indexed

About

Shuhei Hakiri is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Neurology. According to data from OpenAlex, Shuhei Hakiri has authored 28 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 13 papers in Surgery and 9 papers in Neurology. Recurrent topics in Shuhei Hakiri's work include Myasthenia Gravis and Thymoma (9 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Lung Cancer Treatments and Mutations (5 papers). Shuhei Hakiri is often cited by papers focused on Myasthenia Gravis and Thymoma (9 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Lung Cancer Treatments and Mutations (5 papers). Shuhei Hakiri collaborates with scholars based in Japan. Shuhei Hakiri's co-authors include Takayuki Fukui, Kohei Yokoi, Koji Kawaguchi, Shota Nakamura, Naoki Ozeki, Köichi Fukumoto, Shunsuke Mori, Hisashi Tateyama, Masaki Goto and Toyofumi F. Chen‐Yoshikawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Annals of Thoracic Surgery and World Journal of Surgery.

In The Last Decade

Shuhei Hakiri

26 papers receiving 279 citations

Author Peers

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

Author						Papers	Cites
Shuhei Hakiri	132	115	65	61	52	28	280
Matthew W. Jackson	117 0.9×	95 0.8×	97 1.5×	48 0.8×	53 1.0×	30	323
Roman Dutta	157 1.2×	92 0.8×	78 1.2×	149 2.4×	47 0.9×	17	298
Suat Erus	67 0.5×	121 1.1×	84 1.3×	43 0.7×	35 0.7×	27	323
Hiroyuki Agatsuma	76 0.6×	195 1.7×	79 1.2×	47 0.8×	28 0.5×	23	324
Tadashi Sakane	114 0.9×	120 1.0×	72 1.1×	44 0.7×	45 0.9×	36	273
F. Pasquet	156 1.2×	30 0.3×	56 0.9×	52 0.9×	52 1.0×	30	291
Dhanapathi Halanaik	66 0.5×	82 0.7×	86 1.3×	45 0.7×	34 0.7×	27	283
Yosuke Kawahara	85 0.6×	35 0.3×	119 1.8×	132 2.2×	33 0.6×	35	298
Gürkan Altun	32 0.2×	77 0.7×	103 1.6×	75 1.2×	32 0.6×	30	286
Andrea Campione	88 0.7×	131 1.1×	69 1.1×	57 0.9×	38 0.7×	23	293

Countries citing papers authored by Shuhei Hakiri

Since Specialization

Citations

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

Fields of papers citing papers by Shuhei Hakiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhei Hakiri

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