Hitomi Ogata

6.0k total citations · 1 hit paper
60 papers, 1.9k citations indexed

About

Hitomi Ogata is a scholar working on Physiology, Cell Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Hitomi Ogata has authored 60 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Physiology, 19 papers in Cell Biology and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Hitomi Ogata's work include Muscle metabolism and nutrition (19 papers), Adipose Tissue and Metabolism (19 papers) and Diet and metabolism studies (14 papers). Hitomi Ogata is often cited by papers focused on Muscle metabolism and nutrition (19 papers), Adipose Tissue and Metabolism (19 papers) and Diet and metabolism studies (14 papers). Hitomi Ogata collaborates with scholars based in Japan, India and United States. Hitomi Ogata's co-authors include Kumpei Tokuyama, Makoto Satoh, Takashi Kadowaki, Toshimasa Yamauchi, Kohjiro Ueki, Kumpei Tokuyama, Naomi Omi, Insung Park, Hiroaki Tanabe and Mikako Shirouzu and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Hitomi Ogata

56 papers receiving 1.9k citations

Hit Papers

A small-molecule AdipoR agonist for type 2 diabetes and s... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hitomi Ogata Japan 23 992 616 409 381 251 60 1.9k
Adriana L. Burgueño Argentina 22 565 0.6× 1.2k 2.0× 556 1.4× 375 1.0× 237 0.9× 43 2.5k
Ji Hee Yu South Korea 24 507 0.5× 303 0.5× 304 0.7× 351 0.9× 286 1.1× 87 1.9k
Chang‐Myung Oh South Korea 23 599 0.6× 238 0.4× 537 1.3× 204 0.5× 133 0.5× 76 1.9k
Lisa S. Chow United States 25 1.2k 1.2× 217 0.4× 445 1.1× 398 1.0× 79 0.3× 83 2.3k
Ayman M. Arafat Germany 25 669 0.7× 290 0.5× 502 1.2× 288 0.8× 87 0.3× 52 2.2k
Jean‐Pierre Montani Switzerland 36 1.7k 1.8× 393 0.6× 727 1.8× 601 1.6× 79 0.3× 111 3.9k
Olga Pivovarova‐Ramich Germany 25 857 0.9× 388 0.6× 460 1.1× 290 0.8× 44 0.2× 76 1.8k
Juan José Hernández Morante Spain 20 730 0.7× 233 0.4× 130 0.3× 430 1.1× 94 0.4× 65 1.3k
Mohammad Badran United States 20 695 0.7× 124 0.2× 277 0.7× 366 1.0× 116 0.5× 37 1.5k
Saeid Golbidi Canada 23 746 0.8× 255 0.4× 344 0.8× 192 0.5× 32 0.1× 36 2.0k

Countries citing papers authored by Hitomi Ogata

Since Specialization
Citations

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

Fields of papers citing papers by Hitomi Ogata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitomi Ogata

This figure shows the co-authorship network connecting the top 25 collaborators of Hitomi Ogata. A scholar is included among the top collaborators of Hitomi Ogata 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 Hitomi Ogata. Hitomi Ogata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Hatamoto, Yoichi, Eiichi Yoshimura, Mai Matsumoto, et al.. (2023). Delayed Eating Schedule Raises Mean Glucose Levels in Young Adult Males: a Randomized Controlled Cross-Over Trial. Journal of Nutrition. 153(4). 1029–1037. 7 indexed citations
3.
Ogata, Hitomi, et al.. (2023). Energy Expenditure of Disaster Relief Operations Estimated Using a Tri-Axial Accelerometer and a Wearable Heart Rate Monitor. International Journal of Environmental Research and Public Health. 20(9). 5742–5742. 3 indexed citations
4.
Yajima, Katsuhiko, Insung Park, Hitomi Ogata, et al.. (2023). Dietary palmitic acid to oleic acid ratio modulates energy metabolism and biological rhythms in young healthy Japanese males. British Journal Of Nutrition. 131(3). 447–460. 4 indexed citations
5.
Hattori, Satoshi, et al.. (2023). Running exercise and food restriction affect bone chemical properties in young female rats. PubMed. 27(2). 62–69. 1 indexed citations
6.
Park, Insung, Javier Díaz, Kaito Iwayama, et al.. (2021). Exercise improves the quality of slow-wave sleep by increasing slow-wave stability. Scientific Reports. 11(1). 4410–4410. 46 indexed citations
7.
Zhang, Simeng, Yoshiaki Tanaka, Insung Park, et al.. (2021). Metabolic flexibility during sleep. Scientific Reports. 11(1). 17849–17849. 9 indexed citations
8.
Ogata, Hitomi, Momoko Kayaba, Yoshiaki Tanaka, et al.. (2019). Effect of skipping breakfast for 6 days on energy metabolism and diurnal rhythm of blood glucose in young healthy Japanese males. American Journal of Clinical Nutrition. 110(1). 41–52. 44 indexed citations
9.
Yajima, Katsuhiko, Kaito Iwayama, Hitomi Ogata, Insung Park, & Kumpei Tokuyama. (2018). Meal rich in rapeseed oil increases 24-h fat oxidation more than meal rich in palm oil. PLoS ONE. 13(6). e0198858–e0198858. 10 indexed citations
11.
Sengoku, Yasuo, et al.. (2015). Blood Glucose Threshold is Not Consistent with Blood Lactate Threshold by Different Evaluation Methods. 21(1). 17–24. 1 indexed citations
13.
Hattori, Satoshi, et al.. (2015). The Interaction of Voluntary Running Exercise and Food Restriction Induces Low Bone Strength and Low Bone Mineral Density in Young Female Rats. Calcified Tissue International. 97(1). 90–99. 13 indexed citations
14.
Kobayashi, Fumi, Hitomi Ogata, Naomi Omi, et al.. (2013). Effect of breakfast skipping on diurnal variation of energy metabolism and blood glucose. Obesity Research & Clinical Practice. 8(3). e249–e257. 71 indexed citations
15.
Okada‐Iwabu, Miki, Toshimasa Yamauchi, Masato Iwabu, et al.. (2013). A small-molecule AdipoR agonist for type 2 diabetes and short life in obesity. Nature. 503(7477). 493–499. 598 indexed citations breakdown →
16.
Sengoku, Yasuo, et al.. (2011). INFLUENCE OF LOW GLYCOGEN STORAGE ON BLOOD GLUCOSE AND BLOOD LACTATE KINETICS DURING INCREMENTAL RUNNING TEST. Japanese Journal of Physical Fitness and Sports Medicine. 60(2). 217–228. 2 indexed citations
17.
Sato, Mariko, Kimihiro Nakamura, Hitomi Ogata, et al.. (2011). Acute effect of late evening meal on diurnal variation of blood glucose and energy metabolism. Obesity Research & Clinical Practice. 5(3). e220–e228. 63 indexed citations
18.
Sengoku, Yasuo, et al.. (2008). CASE STUDY OF BLOOD GLUCOSE FLUCTUATION AND PERFORMANCE DURING 100 km MARATHON RACE. Japanese Journal of Physical Fitness and Sports Medicine. 57(2). 285–294. 2 indexed citations
19.
Kubota, Naoto, Yasuo Terauchi, Tetsuya Kubota, et al.. (2006). Pioglitazone Ameliorates Insulin Resistance and Diabetes by Both Adiponectin-dependent and -independent Pathways. Journal of Biological Chemistry. 281(13). 8748–8755. 269 indexed citations
20.
Suzuki, Ryo, Kazuyuki Tobe, Masashi Aoyama, et al.. (2004). Both Insulin Signaling Defects in the Liver and Obesity Contribute to Insulin Resistance and Cause Diabetes in Irs2–/– Mice. Journal of Biological Chemistry. 279(24). 25039–25049. 52 indexed citations

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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