Hirokuni Naito

18 total papers · 587 total citations
9 papers, 423 citations indexed

About

Hirokuni Naito is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, Hirokuni Naito has authored 9 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Nutrition and Dietetics. Recurrent topics in Hirokuni Naito's work include Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Vitamin C and Antioxidants Research (1 paper). Hirokuni Naito is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Vitamin C and Antioxidants Research (1 paper). Hirokuni Naito collaborates with scholars based in Japan and United States. Hirokuni Naito's co-authors include Mitsuru Adachi, Toshiyuki Tazaki, Kenji Minoguchi, Shin Ohta, Shinji Okada, Naruhito Oda, Akihiko Tanaka, Takuya Yokoe, Hideko Minoguchi and Susan M. Kleiner and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Clinical Chemistry and Atherosclerosis.

In The Last Decade

Hirokuni Naito

9 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Hirokuni Naito	281	174	126	94	61	9	423
Lia C. Romano	264 0.9×	205 1.2×	46 0.4×	80 0.9×	49 0.8×	9	451
Kimberly Steele	235 0.8×	106 0.6×	83 0.7×	66 0.7×	35 0.6×	12	436
Victor Margallo	209 0.7×	159 0.9×	99 0.8×	69 0.7×	29 0.5×	6	373
Ambika Babu	319 1.1×	231 1.3×	104 0.8×	22 0.2×	78 1.3×	9	461
Magdalena Woznowski	116 0.4×	69 0.4×	71 0.6×	102 1.1×	59 1.0×	18	396
Raffael F. Fraga	334 1.2×	191 1.1×	110 0.9×	222 2.4×	14 0.2×	8	482
Kiran Dubb	224 0.8×	127 0.7×	85 0.7×	91 1.0×	59 1.0×	8	373
P Sliwiński	330 1.2×	185 1.1×	159 1.3×	38 0.4×	9 0.1×	15	420
Cristiane Maki‐Nunes	380 1.4×	234 1.3×	134 1.1×	202 2.1×	14 0.2×	11	493
Hidenori Iwai	211 0.8×	265 1.5×	36 0.3×	65 0.7×	62 1.0×	12	462

Countries citing papers authored by Hirokuni Naito

Since Specialization

Citations

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

Fields of papers citing papers by Hirokuni Naito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirokuni Naito

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