Ehud Rinott

2.6k total citations · 3 hit papers
29 papers, 1.1k citations indexed

About

Ehud Rinott is a scholar working on Physiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ehud Rinott has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 8 papers in Molecular Biology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ehud Rinott's work include Diet and metabolism studies (15 papers), Nutritional Studies and Diet (8 papers) and Gut microbiota and health (6 papers). Ehud Rinott is often cited by papers focused on Diet and metabolism studies (15 papers), Nutritional Studies and Diet (8 papers) and Gut microbiota and health (6 papers). Ehud Rinott collaborates with scholars based in Israel, United States and Germany. Ehud Rinott's co-authors include Ilan Youngster, Iris Shai, Meir J. Stampfer, Alon Kaplan, Hila Zelicha, Gal Tsaban, Anat Yaskolka Meir, Sivan Perl, Atara Uzan-Yulzari and Michal Youngster and has published in prestigious journals such as JAMA, Nature Medicine and NeuroImage.

In The Last Decade

Ehud Rinott

29 papers receiving 1.1k citations

Hit Papers

The gut microbiome modulates the protective association b... 2021 2026 2022 2024 2021 2021 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehud Rinott Israel 15 385 379 225 215 164 29 1.1k
Maria Carlota Dao United States 17 791 2.1× 550 1.5× 236 1.0× 138 0.6× 58 0.4× 32 1.6k
Ying Hua China 20 268 0.7× 110 0.3× 153 0.7× 184 0.9× 201 1.2× 87 1.2k
Valentina Chiavaroli Italy 20 353 0.9× 278 0.7× 299 1.3× 167 0.8× 267 1.6× 60 1.4k
on United Kingdom 5 116 0.3× 180 0.5× 359 1.6× 256 1.2× 77 0.5× 15 1.3k
Eliane Lopes Rosado Brazil 17 605 1.6× 657 1.7× 193 0.9× 140 0.7× 39 0.2× 75 1.4k
Louise Brunkwall Sweden 16 611 1.6× 573 1.5× 331 1.5× 100 0.5× 61 0.4× 24 1.2k
Carlotta Lassandro Italy 7 330 0.9× 311 0.8× 151 0.7× 76 0.4× 65 0.4× 11 723
Junaidah B. Barnett United States 20 366 1.0× 679 1.8× 944 4.2× 182 0.8× 67 0.4× 36 2.2k
Ying Wen China 20 256 0.7× 161 0.4× 95 0.4× 396 1.8× 22 0.1× 78 1.2k
Jae Jeong Yang South Korea 21 173 0.4× 128 0.3× 154 0.7× 198 0.9× 35 0.2× 51 1.1k

Countries citing papers authored by Ehud Rinott

Since Specialization
Citations

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

Fields of papers citing papers by Ehud Rinott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehud Rinott

This figure shows the co-authorship network connecting the top 25 collaborators of Ehud Rinott. A scholar is included among the top collaborators of Ehud Rinott 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 Ehud Rinott. Ehud Rinott 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
3.
Kaplan, Alon, Hila Zelicha, Anat Yaskolka Meir, et al.. (2024). Deep learning‐based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention. Human Brain Mapping. 45(3). e26595–e26595. 4 indexed citations
4.
Koren, Omry, et al.. (2024). Gut microbiome-metabolome interactions predict host condition. Microbiome. 12(1). 24–24. 26 indexed citations
5.
Gao, Peipei, Ehud Rinott, Danyue Dong, et al.. (2024). Gut microbial metabolism of bile acids modifies the effect of Mediterranean diet interventions on cardiometabolic risk in a randomized controlled trial. Gut Microbes. 16(1). 2426610–2426610. 5 indexed citations
6.
Tsaban, Gal, Ehud Rinott, Alon Kaplan, et al.. (2023). Long-term green-Mediterranean diet may favor fasting morning cortisol stress hormone; the DIRECT-PLUS clinical trial. Frontiers in Endocrinology. 14. 1243910–1243910. 7 indexed citations
7.
Kaplan, Alon, Anat Yaskolka Meir, Ehud Rinott, et al.. (2023). The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity. eLife. 12. 13 indexed citations
8.
Cohen, Netta Mendelson, Aviezer Lifshitz, Rami Jaschek, et al.. (2023). Longitudinal machine learning uncouples healthy aging factors from chronic disease risks. Nature Aging. 4(1). 129–144. 6 indexed citations
9.
Rinott, Ehud, Anat Yaskolka Meir, Gal Tsaban, et al.. (2022). The effects of the Green-Mediterranean diet on cardiometabolic health are linked to gut microbiome modifications: a randomized controlled trial. Genome Medicine. 14(1). 29–29. 97 indexed citations
10.
Kozer, Eran, et al.. (2021). Presence of SARS-CoV-2 RNA on playground surfaces and water fountains. Epidemiology and Infection. 149. e67–e67. 15 indexed citations
11.
Meir, Anat Yaskolka, Maria Keller, Stephan Wolf, et al.. (2021). Lifestyle weight-loss intervention may attenuate methylation aging: the CENTRAL MRI randomized controlled trial. Clinical Epigenetics. 13(1). 48–48. 29 indexed citations
12.
Wang, Dong D., Long H. Nguyen, Yanping Li, et al.. (2021). The gut microbiome modulates the protective association between a Mediterranean diet and cardiometabolic disease risk. Nature Medicine. 27(2). 333–343. 236 indexed citations breakdown →
13.
Kaplan, Alon, Hila Zelicha, Anat Yaskolka Meir, et al.. (2021). Retest Reliability of Integrated Speed–Accuracy Measures. Assessment. 29(4). 717–730. 11 indexed citations
14.
Meir, Anat Yaskolka, Ehud Rinott, Gal Tsaban, et al.. (2021). Effect of green-Mediterranean diet on intrahepatic fat: the DIRECT PLUS randomised controlled trial. Gut. 70(11). 2085–2095. 171 indexed citations breakdown →
15.
Rinott, Ehud, Ilan Youngster, Anat Yaskolka Meir, et al.. (2021). Autologous fecal microbiota transplantation can retain the metabolic achievements of dietary interventions. European Journal of Internal Medicine. 92. 17–23. 16 indexed citations
16.
Sela, Ilan, Anat Yaskolka Meir, Alexander Brandis, et al.. (2020). Wolffia globosa–Mankai Plant-Based Protein Contains Bioactive Vitamin B12 and Is Well Absorbed in Humans. Nutrients. 12(10). 3067–3067. 78 indexed citations
17.
Ziv, Oren, et al.. (2020). Impact of the 13-valent pneumococcal conjugate vaccine (PCV13) on acute mastoiditis in children in southern Israel: A 12-year retrospective comparative study (2005–2016). International Journal of Pediatric Otorhinolaryngology. 140. 110485–110485. 4 indexed citations
18.
Zelicha, Hila, Alon Kaplan, Anat Yaskolka Meir, et al.. (2019). The Effect of Wolffia globosa Mankai, a Green Aquatic Plant, on Postprandial Glycemic Response: A Randomized Crossover Controlled Trial. Diabetes Care. 42(7). 1162–1169. 27 indexed citations
19.
Kaplan, Alon, Hila Zelicha, Gal Tsaban, et al.. (2018). Protein bioavailability of Wolffia globosa duckweed, a novel aquatic plant – A randomized controlled trial. Clinical Nutrition. 38(6). 2576–2582. 58 indexed citations
20.
Meir, Anat Yaskolka, Gal Tsaban, Hila Zelicha, et al.. (2018). A Green-Mediterranean Diet, Supplemented with Mankai Duckweed, Preserves Iron-Homeostasis in Humans and Is Efficient in Reversal of Anemia in Rats. Journal of Nutrition. 149(6). 1004–1011. 25 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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