Michael Nakai

670 total citations · 1 hit paper
17 papers, 370 citations indexed

About

Michael Nakai is a scholar working on Physiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michael Nakai has authored 17 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 11 papers in Molecular Biology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michael Nakai's work include Diet and metabolism studies (11 papers), Gut microbiota and health (10 papers) and Nutritional Studies and Diet (7 papers). Michael Nakai is often cited by papers focused on Diet and metabolism studies (11 papers), Gut microbiota and health (10 papers) and Nutritional Studies and Diet (7 papers). Michael Nakai collaborates with scholars based in Australia, China and United States. Michael Nakai's co-authors include Francine Z. Marques, David M. Kaye, M. Carrington, Stephanie Yiallourou, Geoffrey A. Head, Rosilene V. Ribeiro, Jane G. Muir, Charles R. Mackay, Paul A. Gill and Yusuke Sata and has published in prestigious journals such as Journal of Neuroscience, Circulation Research and Scientific Reports.

In The Last Decade

Michael Nakai

15 papers receiving 367 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.

Prebiotic intervention with HAMSAB in untreated essential hypertensive patients assessed in a phase II randomized trial

2023 69 citations Hamdi Jama, Michael Nakai et al. Nature Cardiovascular Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Nakai Australia	10	247	212	90	58	55	17	370
Hendrik Bartolomaeus Germany	9	189 0.8×	125 0.6×	60 0.7×	66 1.1×	42 0.8×	17	355
Stefanie Finger Germany	7	330 1.3×	186 0.9×	58 0.6×	43 0.7×	97 1.8×	14	496
Klaudia Bielińska Poland	5	233 0.9×	180 0.8×	67 0.7×	34 0.6×	38 0.7×	7	345
Xiandu Pan China	6	234 0.9×	194 0.9×	65 0.7×	33 0.6×	54 1.0×	7	458
Marta Gawryś-Kopczyńska Poland	8	268 1.1×	203 1.0×	71 0.8×	43 0.7×	27 0.5×	12	405
Harshal Waghulde United States	10	339 1.4×	258 1.2×	128 1.4×	135 2.3×	57 1.0×	16	577
Saroj Chakraborty United States	11	314 1.3×	367 1.7×	101 1.1×	62 1.1×	53 1.0×	21	567
Tomasz Huć Poland	9	319 1.3×	256 1.2×	99 1.1×	40 0.7×	55 1.0×	14	564
Victor Aquino United States	6	169 0.7×	130 0.6×	44 0.5×	31 0.5×	37 0.7×	8	331
Xuefang Yan China	6	245 1.0×	140 0.7×	35 0.4×	29 0.5×	40 0.7×	8	392

Countries citing papers authored by Michael Nakai

Since Specialization

Citations

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

Fields of papers citing papers by Michael Nakai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Nakai

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

All Works

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17 of 17 papers shown

Muralitharan, Rikeish R., Tenghao Zheng, Liang Xie, et al.. (2025). Gut Microbiota Metabolites Sensed by Host GPR41/43 Protect Against Hypertension. Circulation Research. 136(4). e20–e33. 13 indexed citations

Muralitharan, Rikeish R., Michael Nakai, Matthew Snelson, et al.. (2024). Influence of angiotensin II on the gut microbiome: modest effects in comparison to experimental factors. Cardiovascular Research. 120(10). 1155–1163. 13 indexed citations

Xie, Liang, et al.. (2024). Dietary fiber intake impacts gut bacterial and viral populations in a hypertensive mouse model. Gut Microbes. 16(1). 2407047–2407047. 6 indexed citations

Snelson, Matthew, Hamdi Jama, Michael Nakai, et al.. (2024). O88 REDUCTION IN SYSTOLIC BLOOD PRESSURE FOLLOWING DIETARY FIBRE INTERVENTION IS DEPENDENT ON BASELINE GUT MICROBIOTA COMPOSITION. Journal of Hypertension. 42(Suppl 3). e41–e41. 1 indexed citations

Zhou, Yichen, Liang Xie, Jan Schröder, et al.. (2023). Dietary Fiber and Microbiota Metabolite Receptors Enhance Cognition and Alleviate Disease in the 5xFAD Mouse Model of Alzheimer’s Disease. Journal of Neuroscience. 43(37). 6460–6475. 42 indexed citations

Jama, Hamdi, Michael Nakai, Chu K Yao, et al.. (2023). Prebiotic intervention with HAMSAB in untreated essential hypertensive patients assessed in a phase II randomized trial. Nature Cardiovascular Research. 2(1). 35–43. 69 indexed citations breakdown →

Nakai, Michael, Paul A. Gill, Rosilene V. Ribeiro, et al.. (2022). Association Between the Gut Microbiome and Their Metabolites With Human Blood Pressure Variability. Hypertension. 79(8). 1690–1701. 26 indexed citations

Nakai, Michael, Rosilene V. Ribeiro, Bruce R. Stevens, et al.. (2021). Essential Hypertension Is Associated With Changes in Gut Microbial Metabolic Pathways: A Multisite Analysis of Ambulatory Blood Pressure. Hypertension. 78(3). 804–815. 63 indexed citations

Beale, A., Joanne A. O’Donnell, Michael Nakai, et al.. (2021). The Gut Microbiome of Heart Failure With Preserved Ejection Fraction. Journal of the American Heart Association. 10(13). e020654–e020654. 88 indexed citations

10.

Nakai, Michael, Joshua Denham, Priscilla R. Prestes, et al.. (2021). Plasma lipocalin-2/NGAL is stable over 12 weeks and is not modulated by exercise or dieting. Scientific Reports. 11(1). 4056–4056. 9 indexed citations

11.

Muralitharan, Rikeish R., Liang Xie, Hamdi Jama, et al.. (2021). Abstract 62: Dietary Fibre Attenuates Hypertension By Reducing Macrophage Infiltration Via Gut Microbiota-Derived Metabolite-Sensing Receptors. Hypertension. 78(Suppl_1).

12.

Nakai, Michael, Paul A. Gill, Stephanie Yiallourou, et al.. (2021). The Gut Microbiota and Their Metabolites in Human Arterial Stiffness. Heart Lung and Circulation. 30(11). 1716–1725. 18 indexed citations

13.

Beale, A., Michael Nakai, Shane Nanayakkara, et al.. (2021). The Gut Microbiome of Heart Failure With Preserved Ejection Fraction. Heart Lung and Circulation. 30. S139–S139. 5 indexed citations

14.

Xie, Liang, Rikeish R. Muralitharan, Michael Nakai, et al.. (2021). DIETARY FIBRE REDUCES INTESTINAL PH AND EXHIBITS CARDIOVASCULAR‐PROTECTIVE EFFECTS THROUGH A PROTON‐SENSING RECEPTOR. Journal of Hypertension. 39(Supplement 1). e388–e388. 1 indexed citations

15.

Marques, Francine Z., Kirill Tsyganov, Rosilene V. Ribeiro, et al.. (2021). A MULTI-SITE ANALYSIS OF THE HUMAN GUT MICROBIOME AND METABOLITES IN ASSOCIATION WITH AMBULATORY BLOOD PRESSURE. Journal of Hypertension. 39(Supplement 1). e261–e262.

16.

Jama, Hamdi, April Fiedler, Kirill Tsyganov, et al.. (2020). Manipulation of the gut microbiota by the use of prebiotic fibre does not override a genetic predisposition to heart failure. Scientific Reports. 10(1). 17919–17919. 11 indexed citations

17.

Liang, Julia, et al.. (2020). Utilisation of the OliveNet™ Library to investigate phenolic compounds using molecular modelling studies in the context of Alzheimer’s disease. Computational Biology and Chemistry. 87. 107271–107271. 5 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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