Junko Ishihara

7.8k total citations · 1 hit paper
148 papers, 5.5k citations indexed

About

Junko Ishihara is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Junko Ishihara has authored 148 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Public Health, Environmental and Occupational Health, 46 papers in Nutrition and Dietetics and 23 papers in Physiology. Recurrent topics in Junko Ishihara's work include Nutritional Studies and Diet (90 papers), Consumer Attitudes and Food Labeling (24 papers) and Obesity, Physical Activity, Diet (22 papers). Junko Ishihara is often cited by papers focused on Nutritional Studies and Diet (90 papers), Consumer Attitudes and Food Labeling (24 papers) and Obesity, Physical Activity, Diet (22 papers). Junko Ishihara collaborates with scholars based in Japan, United States and United Kingdom. Junko Ishihara's co-authors include Shoichiro Tsugane, Yôko Ueda, Akira Hiraishi, Manami Inoue, Hiroyasu Iso, Motoki Iwasaki, Tadahiro Mori, Norie Sawada, Yoshihiro Kokubo and Minatsu Kobayashi and has published in prestigious journals such as Circulation, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Junko Ishihara

143 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparative lipoquinone analysis of influent sewage and activated sludge by high-performance liquid chromatography and photodiode array detection.

1996 715 citations Junko Ishihara et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junko Ishihara Japan	36	2.1k	1.3k	1.3k	811	616	148	5.5k
Anja Olsen Denmark	47	2.2k 1.0×	1.2k 1.0×	1.1k 0.9×	1.2k 1.5×	984 1.6×	198	6.4k
Achim Bub Germany	38	1.2k 0.5×	1.5k 1.2×	1.0k 0.8×	794 1.0×	513 0.8×	97	5.5k
Myron D. Gross United States	52	2.1k 1.0×	1.7k 1.4×	1.5k 1.2×	1.6k 2.0×	966 1.6×	187	8.6k
Sari Voutilainen Finland	49	1.7k 0.8×	1.2k 0.9×	2.1k 1.7×	1.2k 1.5×	1.2k 2.0×	117	7.3k
Patrizia Riso Italy	50	1.2k 0.6×	2.3k 1.8×	1.5k 1.2×	1.2k 1.4×	707 1.1×	182	7.6k
Li‐Qiang Qin China	49	2.1k 1.0×	1.5k 1.1×	1.6k 1.2×	2.2k 2.7×	1.0k 1.6×	258	8.0k
Liisa Valsta Finland	38	1.6k 0.8×	494 0.4×	1.3k 1.1×	819 1.0×	918 1.5×	117	4.3k
Mélanie Deschasaux France	36	3.3k 1.5×	914 0.7×	724 0.6×	1.0k 1.3×	373 0.6×	127	5.7k
Angela A. Mulligan United Kingdom	37	1.4k 0.6×	657 0.5×	766 0.6×	864 1.1×	1.2k 1.9×	67	4.0k
Sabina Sieri Italy	47	2.6k 1.2×	1.1k 0.8×	1.2k 1.0×	1.4k 1.7×	337 0.5×	140	6.1k

Countries citing papers authored by Junko Ishihara

Since Specialization

Citations

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

Fields of papers citing papers by Junko Ishihara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Ishihara

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

All Works

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20 of 20 papers shown

Murakami, Keiko, Taku Obara, Ippei Takahashi, et al.. (2024). Validity of a Self-administered Food Frequency Questionnaire for Genomic and Omics Research Among Pregnant Women: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Journal of Epidemiology. 35(7). 305–312.

Ishihara, Junko, Ribeka Takachi, Ayaka Kotemori, et al.. (2024). Validity of the Intake of Sugars, Amino Acids, and Fatty Acids Estimated Using a Self-administered Food Frequency Questionnaire in Middle-aged and Elderly Japanese: The Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT) Protocol Area. Journal of Epidemiology. 34(8). 372–379.

Sahashi, Yuki, Atsushi Goto, Ribeka Takachi, et al.. (2022). Inverse Association between Fruit and Vegetable Intake and All-Cause Mortality: Japan Public Health Center-Based Prospective Study. Journal of Nutrition. 152(10). 2245–2254. 12 indexed citations

Narii, Nobuhiro, Tomotaka Sobue, Ling Zha, et al.. (2022). Acrylamide and Glycidamide Hemoglobin Adduct Levels and Breast Cancer Risk in Japanese Women: A Nested Case–Control Study in the JPHC. Cancer Epidemiology Biomarkers & Prevention. 32(3). 415–421. 5 indexed citations

Abe, Sarah Krull, Norie Sawada, Ribeka Takachi, et al.. (2021). Association of sugary drink consumption with all-cause and cause-specific mortality: the Japan Public Health Center-based Prospective Study. Preventive Medicine. 148. 106561–106561. 5 indexed citations

Yamagiwa, Yoko, Norie Sawada, Taichi Shimazu, et al.. (2020). Soy Food Intake and Pancreatic Cancer Risk: The Japan Public Health Center–based Prospective Study. Cancer Epidemiology Biomarkers & Prevention. 29(6). 1214–1221. 4 indexed citations

Kotemori, Ayaka, Junpei Yamamoto, Miho Nagasawa, et al.. (2020). Association between Pet Ownership and Obesity: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health. 17(10). 3498–3498. 11 indexed citations

Yamamoto, Junpei, Junko Ishihara, Yasuto Matsui, et al.. (2020). Acrylamide–Hemoglobin Adduct Levels in a Japanese Population and Comparison with Acrylamide Exposure Assessed by the Duplicated Method or a Food Frequency Questionnaire. Nutrients. 12(12). 3863–3863. 6 indexed citations

Saito, Eiko, Norie Sawada, Junko Ishihara, et al.. (2020). Fermented and nonfermented soy foods and the risk of breast cancer in a Japanese population‐based cohort study. Cancer Medicine. 10(2). 757–771. 17 indexed citations

10.

Yamamoto, Junpei, Junko Ishihara, Ayaka Kotemori, et al.. (2019). Association Between Okinawan Vegetables Consumption and Risk of Type 2 Diabetes in Japanese Communities: The JPHC Study. Journal of Epidemiology. 30(5). 227–235. 4 indexed citations

11.

Yoshizaki, Takahiro, Junko Ishihara, Ayaka Kotemori, et al.. (2019). Association of Vegetable, Fruit, and Okinawan Vegetable Consumption With Incident Stroke and Coronary Heart Disease. Journal of Epidemiology. 30(1). 37–45. 15 indexed citations

12.

Goto, Atsushi, Ayaka Kotemori, Nagisa Mori, et al.. (2019). Validity and Reproducibility of a Self-Administered Food Frequency Questionnaire for the Assessment of Sugar Intake in Middle-Aged Japanese Adults. Nutrients. 11(3). 554–554. 9 indexed citations

13.

Yamagiwa, Yoko, Norie Sawada, Taichi Shimazu, et al.. (2018). Fruit and vegetable intake and pancreatic cancer risk in a population‐based cohort study in Japan. International Journal of Cancer. 144(8). 1858–1866. 16 indexed citations

14.

Kitamura, Taisuke, et al.. (2015). Effect of pre‐injury anticoagulant and antiplatelet agents on blood loss in elderly patients with severe trauma. Acute Medicine & Surgery. 3(2). 114–119. 10 indexed citations

15.

Ishihara, Junko, et al.. (2012). [Applicability of the dietary record by cooked dishes method for estimating dietary intake of populations in the areas other than where the database was developed].. PubMed. 59(9). 700–11. 3 indexed citations

16.

Ishihara, Junko, et al.. (2009). Application of Digital Photographic Images of Meals to Assess Dietary Intake in Epidemiological Studies. The Japanese Journal of Nutrition and Dietetics. 67(5). 252–259. 1 indexed citations

17.

Ma, Enbo, Motoki Iwasaki, Junko Ishihara, et al.. (2009). Dietary intake of folate, vitamin B6, and vitamin B12, genetic polymorphism of related enzymes, and risk of breast cancer: a case-control study in Brazilian women. BMC Cancer. 9(1). 122–122. 83 indexed citations

18.

Takachi, Ribeka, Manami Inoue, Taichi Shimazu, et al.. (2009). Consumption of sodium and salted foods in relation to cancer and cardiovascular disease: the Japan Public Health Center–based Prospective Study. American Journal of Clinical Nutrition. 91(2). 456–464. 104 indexed citations

19.

Ishihara, Junko, Manami Inoue, Motoki Iwasaki, Shizuka Sasazuki, & Shoichiro Tsugane. (2008). Dietary calcium, vitamin D, and the risk of colorectal cancer. American Journal of Clinical Nutrition. 88(6). 1576–1583. 72 indexed citations

20.

Ishihara, Junko, et al.. (1987). Protein coagulation through reversible and irreversible bindings of calcium.. Agricultural and Biological Chemistry. 51(3). 707–714. 7 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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