Markandeya Jois

3.5k total citations · 1 hit paper
71 papers, 2.6k citations indexed

About

Markandeya Jois is a scholar working on Physiology, Animal Science and Zoology and Aging. According to data from OpenAlex, Markandeya Jois has authored 71 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physiology, 15 papers in Animal Science and Zoology and 13 papers in Aging. Recurrent topics in Markandeya Jois's work include Adipose Tissue and Metabolism (15 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Diet and metabolism studies (8 papers). Markandeya Jois is often cited by papers focused on Adipose Tissue and Metabolism (15 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Diet and metabolism studies (8 papers). Markandeya Jois collaborates with scholars based in Australia, China and Canada. Markandeya Jois's co-authors include David Chisanga, Monisha Samuel, Suresh Mathivanan, Shivakumar Keerthikumar, Sushma Anand, Dinuka Ariyaratne, Lahiru Gangoda, Mohashin Pathan, Naveen Chilamkurti and Haidar Al Saffar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Markandeya Jois

71 papers receiving 2.5k citations

Hit Papers

ExoCarta: A Web-Based Compendium of Exosomal Cargo 2015 2026 2018 2022 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markandeya Jois Australia 18 1.4k 709 461 259 226 71 2.6k
Tapati Chakraborti India 25 1.3k 0.9× 699 1.0× 357 0.8× 281 1.1× 233 1.0× 107 3.3k
Hiromi Yamashita Japan 25 1.6k 1.1× 437 0.6× 738 1.6× 419 1.6× 178 0.8× 105 3.0k
Shunhua Zhang China 29 1.6k 1.1× 871 1.2× 582 1.3× 261 1.0× 211 0.9× 106 2.6k
Qian Xu China 19 1.3k 0.9× 318 0.4× 309 0.7× 269 1.0× 112 0.5× 75 2.7k
Liwei Xie China 32 1.9k 1.3× 852 1.2× 441 1.0× 240 0.9× 243 1.1× 116 3.3k
Koichiro Wada Japan 38 2.2k 1.5× 628 0.9× 515 1.1× 635 2.5× 273 1.2× 91 4.1k
Elizabeth J. Tarling United States 26 1.5k 1.0× 410 0.6× 415 0.9× 524 2.0× 178 0.8× 44 3.1k
Hee‐Jae Cha South Korea 32 1.5k 1.1× 333 0.5× 265 0.6× 148 0.6× 136 0.6× 151 3.1k
Ho Lin Taiwan 30 1.4k 1.0× 403 0.6× 183 0.4× 222 0.9× 103 0.5× 164 3.1k

Countries citing papers authored by Markandeya Jois

Since Specialization
Citations

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

Fields of papers citing papers by Markandeya Jois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markandeya Jois

This figure shows the co-authorship network connecting the top 25 collaborators of Markandeya Jois. A scholar is included among the top collaborators of Markandeya Jois 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 Markandeya Jois. Markandeya Jois 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
1.
Flavel, Matthew, et al.. (2024). Early Exposure to Polyphenol-Rich Sugarcane Extract (PRSE) Mitigates Aging While Enhancing Thermotolerance in C. elegans. SHILAP Revista de lepidopterología. 4(1). 15–27. 1 indexed citations
2.
Flavel, Matthew, et al.. (2024). Improving Cognitive and Chemosensory Function in Caenorhabditis elegans Through Polyphenol-Rich Sugarcane Extract. SHILAP Revista de lepidopterología. 4(4). 816–826. 1 indexed citations
4.
Nguyen, Hien D., et al.. (2022). Quantification of behavioural variation among sheep grazing on pasture using accelerometer sensors. Animal Production Science. 62(15). 1527–1538. 5 indexed citations
6.
Afshari, Roya, et al.. (2022). Effects of cocoa on altered metabolite levels in purine metabolism pathways and urea cycle in Alzheimer's disease in C. elegans. SHILAP Revista de lepidopterología. 6. 14–24. 5 indexed citations
7.
Jois, Markandeya, et al.. (2021). Early Exposure is Necessary for the Lifespan Extension Effects of Cocoa in C. elegans. Nutrition and Metabolic Insights. 14. 1518392771–1518392771. 3 indexed citations
8.
Jois, Markandeya, et al.. (2021). Cocoa supplementation reduces amyloid-beta1–42 (Aβ1–42) induced deficits in a transgenic C. elegans. 6(2). 117–130. 2 indexed citations
9.
Jois, Markandeya, et al.. (2021). Metabolic and behavioral effects of olanzapine and fluoxetine on the model organism Caenorhabditis elegans. Saudi Pharmaceutical Journal. 29(8). 917–929. 7 indexed citations
10.
Tang, Clarice, et al.. (2020). Factors affecting self-medication practices among people living with type 2 diabetes in India- A systematic review. SHILAP Revista de lepidopterología. 9. 100073–100073. 2 indexed citations
11.
Jois, Markandeya, et al.. (2020). Cocoa improves age-associated health and extends lifespan in C. elegans. Figshare. 6(1). 73–86. 9 indexed citations
12.
Gao, Shan, Weiyang Chen, Nan Zhang, et al.. (2019). A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of <em>Caenorhabditis elegans</em>. Journal of Visualized Experiments. 6 indexed citations
13.
Jois, Markandeya, et al.. (2018). Spatially and temporally variable urinary N loads deposited by lactating cows on a grazing system dairy farm. Journal of Environmental Management. 215. 166–176. 6 indexed citations
14.
Radcliffe, Jessica, et al.. (2017). Quinoa Seed Lowers Serum Triglycerides in Overweight and Obese Subjects: A Dose-Response Randomized Controlled Clinical Trial. Current Developments in Nutrition. 1(9). e001321–e001321. 41 indexed citations
15.
Manickam, Elizabeth, Denovan P. Begg, Hafandi Ahmad, et al.. (2011). Angiotensin-converting enzyme inhibition reverses diet-induced obesity, insulin resistance and inflammation in C57BL/6J mice. International Journal of Obesity. 36(2). 233–243. 49 indexed citations
16.
Chen, Nora, Paul Lewandowski, David Cameron‐Smith, et al.. (2009). Green tea, black tea, and epigallocatechin modify body composition, improve glucose tolerance, and differentially alter metabolic gene expression in rats fed a high-fat diet. Nutrition Research. 29(11). 784–793. 188 indexed citations
17.
18.
Jois, Markandeya, et al.. (1997). Uptake and metabolism of propionate in the liver isolated from sheep treated with glucagon. British Journal Of Nutrition. 77(5). 783–793. 6 indexed citations
19.
Jois, Markandeya, et al.. (1990). Flux through glycine cleavage system in isolated hepatocytes: effects of glucagon, cAMP, and calcium. Biochemistry and Cell Biology. 68(2). 543–546. 5 indexed citations
20.
McDowell, GH, et al.. (1987). Effects of Exogenous Growth Hormone on Milk Production and Nutrient Uptake by Muscle and Mammary Tissues of Dairy Cows in Mid-lactation. Australian Journal of Biological Sciences. 40(3). 295–306. 61 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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