Mitsuhiko Hara

77 total papers · 975 total citations
45 papers, 728 citations indexed

About

Mitsuhiko Hara is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mitsuhiko Hara has authored 45 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Physiology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mitsuhiko Hara's work include Obesity, Physical Activity, Diet (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Body Composition Measurement Techniques (7 papers). Mitsuhiko Hara is often cited by papers focused on Obesity, Physical Activity, Diet (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Body Composition Measurement Techniques (7 papers). Mitsuhiko Hara collaborates with scholars based in Japan, China and United States. Mitsuhiko Hara's co-authors include Tomoo Okada, Fujihiko Iwata, Kensuke Harada, Yuki Kuromori, Yayoi Takeuchi, Hiroshi Naito, Emiko Saito, Yasuhiro Shibuya, Tomomi Takano and Wataru Higuchi and has published in prestigious journals such as The Journal of Infectious Diseases, BMC Public Health and Clinica Chimica Acta.

In The Last Decade

Mitsuhiko Hara

42 papers receiving 697 citations

Author Peers

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

Author						Papers	Cites
Mitsuhiko Hara	291	227	153	151	107	45	728
Young Suk Shim	198 0.7×	268 1.2×	205 1.3×	137 0.9×	125 1.2×	57	906
Cilius Esmann Fonvig	229 0.8×	191 0.8×	206 1.3×	252 1.7×	128 1.2×	57	821
Meixian Zhang	218 0.7×	139 0.6×	65 0.4×	130 0.9×	86 0.8×	83	894
Karl Zwiauer	302 1.0×	91 0.4×	72 0.5×	145 1.0×	99 0.9×	76	677
Riyadh Saif-Ali	201 0.7×	157 0.7×	127 0.8×	66 0.4×	43 0.4×	41	726
Larraitz Arriola	217 0.7×	108 0.5×	79 0.5×	92 0.6×	50 0.5×	28	644
Vanessa S. Mattevi	111 0.4×	158 0.7×	95 0.6×	190 1.3×	47 0.4×	46	825
Deepesh Khanna	130 0.4×	181 0.8×	84 0.5×	246 1.6×	35 0.3×	48	874
Satupaitea Viali	209 0.7×	96 0.4×	120 0.8×	117 0.8×	90 0.8×	46	812
X Berríos	378 1.3×	149 0.7×	91 0.6×	61 0.4×	52 0.5×	33	789

Countries citing papers authored by Mitsuhiko Hara

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuhiko Hara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiko Hara

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