Rohith N. Thota

1.2k total citations · 1 hit paper
33 papers, 802 citations indexed

About

Rohith N. Thota is a scholar working on Physiology, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Rohith N. Thota has authored 33 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 12 papers in Nutrition and Dietetics and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Rohith N. Thota's work include Fatty Acid Research and Health (11 papers), Diet and metabolism studies (9 papers) and Adipose Tissue and Metabolism (6 papers). Rohith N. Thota is often cited by papers focused on Fatty Acid Research and Health (11 papers), Diet and metabolism studies (9 papers) and Adipose Tissue and Metabolism (6 papers). Rohith N. Thota collaborates with scholars based in Australia, New Zealand and United States. Rohith N. Thota's co-authors include Manohar L. Garg, Shamasunder Acharya, Kylie Abbott, Tracy Burrows, Cintia B. Dias, Ralph N. Martins, Jessica J. A. Ferguson, Harjinder Singh, Steve Pedrini and Pratishtha Chatterjee and has published in prestigious journals such as American Journal of Clinical Nutrition, Scientific Reports and The FASEB Journal.

In The Last Decade

Rohith N. Thota

32 papers receiving 791 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.

Plasma Aβ42/40 ratio, p‐tau181, GFAP, and NfL across the Alzheimer's disease continuum: A cross‐sectional and longitudinal study in the AIBL cohort

2022 155 citations Pratishtha Chatterjee, Steve Pedrini et al. Alzheimer s & Dementia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rohith N. Thota Australia	14	353	191	169	146	112	33	802
Niyaz Mohammadzadeh Honarvar Iran	18	220 0.6×	280 1.5×	111 0.7×	50 0.3×	82 0.7×	35	905
Adriano Cressoni Araújo Brazil	22	349 1.0×	316 1.7×	84 0.5×	151 1.0×	37 0.3×	77	1.3k
Mina Abdolahi Iran	18	281 0.8×	282 1.5×	108 0.6×	42 0.3×	145 1.3×	44	934
Soo‐Hyun Park South Korea	19	223 0.6×	465 2.4×	72 0.4×	87 0.6×	65 0.6×	46	1.1k
Amitava Chakrabarti India	23	347 1.0×	260 1.4×	46 0.3×	159 1.1×	110 1.0×	79	1.3k
Zahra Gholamnezhad Iran	19	165 0.5×	234 1.2×	61 0.4×	90 0.6×	31 0.3×	70	1.4k
Daniela Zanini Brazil	18	257 0.7×	190 1.0×	82 0.5×	177 1.2×	51 0.5×	44	1.0k
Jacqueline Nelisis Zanoni Brazil	21	494 1.4×	207 1.1×	190 1.1×	126 0.9×	44 0.4×	92	1.2k
Deep Sharma India	20	525 1.5×	375 2.0×	123 0.7×	41 0.3×	63 0.6×	47	1.4k
Katherine Cox Australia	14	211 0.6×	119 0.6×	67 0.4×	51 0.3×	38 0.3×	27	683

Countries citing papers authored by Rohith N. Thota

Since Specialization

Citations

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

Fields of papers citing papers by Rohith N. Thota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohith N. Thota. 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 Rohith N. Thota. The network helps show where Rohith N. Thota may publish in the future.

Co-authorship network of co-authors of Rohith N. Thota

This figure shows the co-authorship network connecting the top 25 collaborators of Rohith N. Thota. A scholar is included among the top collaborators of Rohith N. Thota 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 Rohith N. Thota. Rohith N. Thota 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

Thota, Rohith N., et al.. (2025). Natural products as antimicrobials: An exploratory overview of current research and future perspectives. Journal of Applied Pharmaceutical Science. 1 indexed citations

Kassis, Amira, et al.. (2024). Cognitive benefits of sleep: a narrative review to explore the relevance of glucose regulation. SLEEP Advances. 6(1). zpae095–zpae095. 1 indexed citations

Thota, Rohith N., et al.. (2023). Plasma Trimethylamine N-Oxide Levels Are Associated with Poor Kidney Function in People with Type 2 Diabetes. Nutrients. 15(4). 812–812. 14 indexed citations

Asih, Prita R., Sina Shadfar, Pratishtha Chatterjee, et al.. (2023). Ketone bodies mediate alterations in brain energy metabolism and biomarkers of Alzheimer’s disease. Frontiers in Neuroscience. 17. 1297984–1297984. 13 indexed citations

Chatterjee, Pratishtha, Vincent Doré, Steve Pedrini, et al.. (2023). Plasma Glial Fibrillary Acidic Protein Is Associated with 18F-SMBT-1 PET: Two Putative Astrocyte Reactivity Biomarkers for Alzheimer’s Disease. Journal of Alzheimer s Disease. 92(2). 615–628. 17 indexed citations

Pedrini, Steve, James D. Doecke, Eugene Hone, et al.. (2022). Plasma high‐density lipoprotein cargo is altered in Alzheimer's disease and is associated with regional brain volume. Journal of Neurochemistry. 163(1). 53–67. 13 indexed citations

Chatterjee, Pratishtha, Steve Pedrini, James D. Doecke, et al.. (2022). Plasma Aβ42/40 ratio, p‐tau181, GFAP, and NfL across the Alzheimer's disease continuum: A cross‐sectional and longitudinal study in the AIBL cohort. Alzheimer s & Dementia. 19(4). 1117–1134. 155 indexed citations breakdown →

Dickens, Martin, et al.. (2020). Chlorogenic Acid Potentiates the Anti-Inflammatory Activity of Curcumin in LPS-Stimulated THP-1 Cells. Nutrients. 12(9). 2706–2706. 56 indexed citations

Thota, Rohith N., Tracy Burrows, Cintia B. Dias, et al.. (2020). Docosahexaenoic Acid-Rich Fish Oil Supplementation Reduces Kinase Associated with Insulin Resistance in Overweight and Obese Midlife Adults. Nutrients. 12(6). 1612–1612. 8 indexed citations

10.

Abbott, Kylie, Tracy Burrows, Shamasunder Acharya, Rohith N. Thota, & Manohar L. Garg. (2020). DHA-enriched fish oil reduces insulin resistance in overweight and obese adults. Prostaglandins Leukotrienes and Essential Fatty Acids. 159. 102154–102154. 49 indexed citations

11.

Thota, Rohith N., et al.. (2020). Dietary Supplementation with Curcumin Reduce Circulating Levels of Glycogen Synthase Kinase-3β and Islet Amyloid Polypeptide in Adults with High Risk of Type 2 Diabetes and Alzheimer’s Disease. Nutrients. 12(4). 1032–1032. 91 indexed citations

12.

Thota, Rohith N., Paul J. Moughan, Harjinder Singh, & Manohar L. Garg. (2020). GlucoTRIG: a novel tool to determine the nutritional quality of foods and meals in general population. Lipids in Health and Disease. 19(1). 83–83. 2 indexed citations

13.

Thota, Rohith N., Shamasunder Acharya, & Manohar L. Garg. (2019). Curcumin and/or omega-3 polyunsaturated fatty acids supplementation reduces insulin resistance and blood lipids in individuals with high risk of type 2 diabetes: a randomised controlled trial. Lipids in Health and Disease. 18(1). 31–31. 99 indexed citations

14.

Abbott, Kylie, Tracy Burrows, Rohith N. Thota, et al.. (2019). Association between plasma phospholipid omega-3 polyunsaturated fatty acids and type 2 diabetes is sex dependent: The Hunter Community Study. Clinical Nutrition. 39(4). 1059–1066. 11 indexed citations

15.

Thota, Rohith N., Jessica J. A. Ferguson, Kylie Abbott, Cintia B. Dias, & Manohar L. Garg. (2018). Science behind the cardio-metabolic benefits of omega-3 polyunsaturated fatty acids: biochemical effectsvs. clinical outcomes. Food & Function. 9(7). 3576–3596. 48 indexed citations

16.

Thota, Rohith N., Cintia B. Dias, Kylie Abbott, Shamasunder Acharya, & Manohar L. Garg. (2018). Curcumin alleviates postprandial glycaemic response in healthy subjects: A cross-over, randomized controlled study. Scientific Reports. 8(1). 13679–13679. 28 indexed citations

17.

Thota, Rohith N., Kylie Abbott, Jessica J. A. Ferguson, et al.. (2017). InsuTAG: A novel physiologically relevant predictor for insulin resistance and metabolic syndrome. Scientific Reports. 7(1). 15204–15204. 7 indexed citations

18.

Abbott, Kylie, Tracy Burrows, Rohith N. Thota, Shamasunder Acharya, & Manohar L. Garg. (2016). Do ω-3 PUFAs affect insulin resistance in a sex-specific manner? A systematic review and meta-analysis of randomized controlled trials. American Journal of Clinical Nutrition. 104(5). 1470–1484. 44 indexed citations

19.

Garg, Manohar L., et al.. (2016). Effect of Omega‐3 Polyunsaturated Fatty Acids on Insulin Resistance are Sex‐dependent: A Meta‐analysis of Randomized Controlled Trials. The FASEB Journal. 30(S1). 1 indexed citations

20.

Thota, Rohith N., Shamasunder Acharya, Kylie Abbott, & Manohar L. Garg. (2016). Curcumin and long-chain Omega-3 polyunsaturated fatty acids for Prevention of type 2 Diabetes (COP-D): study protocol for a randomised controlled trial. Trials. 17(1). 565–565. 24 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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