Ravikumar Manickam

515 total citations
18 papers, 400 citations indexed

About

Ravikumar Manickam is a scholar working on Molecular Biology, Physiology and Geriatrics and Gerontology. According to data from OpenAlex, Ravikumar Manickam has authored 18 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Physiology and 5 papers in Geriatrics and Gerontology. Recurrent topics in Ravikumar Manickam's work include Adipose Tissue and Metabolism (7 papers), Muscle Physiology and Disorders (6 papers) and Sirtuins and Resveratrol in Medicine (5 papers). Ravikumar Manickam is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Muscle Physiology and Disorders (6 papers) and Sirtuins and Resveratrol in Medicine (5 papers). Ravikumar Manickam collaborates with scholars based in United States, Singapore and Switzerland. Ravikumar Manickam's co-authors include Walter Wahli, Kalina Duszka, Srinivas M. Tipparaju, Chek Kun Tan, Marco Brotto, Xiaojia Ge, Craig McFarlane, Ravi Kambadur, Mridula Sharma and Sabeera Bonala and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Ravikumar Manickam

17 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravikumar Manickam United States 11 252 189 48 43 40 18 400
So Jeong Park South Korea 12 208 0.8× 162 0.9× 37 0.8× 46 1.1× 52 1.3× 29 402
María Guitart Spain 12 247 1.0× 167 0.9× 31 0.6× 38 0.9× 13 0.3× 21 453
Jonathan Barlow United Kingdom 11 209 0.8× 163 0.9× 37 0.8× 115 2.7× 14 0.3× 20 459
Chantal A. Pileggi Canada 12 154 0.6× 194 1.0× 13 0.3× 62 1.4× 29 0.7× 25 364
Minwoo Nam United States 9 293 1.2× 287 1.5× 102 2.1× 187 4.3× 32 0.8× 11 597
Mingwei Guo China 10 219 0.9× 207 1.1× 96 2.0× 97 2.3× 14 0.3× 20 458
Marie S. Isidor Denmark 12 200 0.8× 306 1.6× 69 1.4× 152 3.5× 14 0.3× 17 541
Yueh-Mei Hsu United States 4 182 0.7× 125 0.7× 35 0.7× 26 0.6× 25 0.6× 4 333
Rodolfo Gonzalez Camargo Brazil 9 177 0.7× 261 1.4× 62 1.3× 72 1.7× 11 0.3× 13 408
Cécile Coudy‐Gandilhon France 12 283 1.1× 244 1.3× 17 0.4× 55 1.3× 17 0.4× 29 528

Countries citing papers authored by Ravikumar Manickam

Since Specialization
Citations

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

Fields of papers citing papers by Ravikumar Manickam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravikumar Manickam

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

All Works

18 of 18 papers shown
1.
Russ, David W., Ravikumar Manickam, & Srinivas M. Tipparaju. (2025). Targeting intramyocellular lipids to improve aging muscle function. Lipids in Health and Disease. 24(1). 197–197. 4 indexed citations
2.
Manickam, Ravikumar, et al.. (2025). Nampt: a new therapeutic target for modulating NAD+ levels in metabolic, cardiovascular, and neurodegenerative diseases. Canadian Journal of Physiology and Pharmacology. 103(7). 208–224. 1 indexed citations
3.
Kim, Joung W., et al.. (2024). P7C3 ameliorates barium chloride‐induced skeletal muscle injury activating transcriptomic and epigenetic modulation of myogenic regulatory factors. Journal of Cellular Physiology. 239(9). e31346–e31346. 2 indexed citations
4.
5.
Manickam, Ravikumar, et al.. (2023). Genetic deletion of Kvβ2 (AKR6) causes loss of muscle function and increased inflammation in mice. SHILAP Revista de lepidopterología. 4. 1175510–1175510. 1 indexed citations
6.
Sutariya, Vijaykumar, Priyanka Bhatt, Sachin L. Badole, et al.. (2023). Development and testing of nanoparticles delivery for P7C3 small molecule using injury models. Molecular and Cellular Biochemistry. 479(9). 2429–2445. 4 indexed citations
7.
Wagner, Sabrina, Ravikumar Manickam, Marco Brotto, & Srinivas M. Tipparaju. (2022). NAD+ centric mechanisms and molecular determinants of skeletal muscle disease and aging. Molecular and Cellular Biochemistry. 477(6). 1829–1848. 21 indexed citations
8.
Badole, Sachin L., Ravikumar Manickam, Kalyan C. Chapalamadugu, et al.. (2022). Cardioprotective Effects of 1-(3,6-Dibromo-carbazol-9-yl)-3-Phenylamino-Propan-2-Ol in Diabetic Hearts via Nicotinamide Phosphoribosyltransferase Activation. Journal of Pharmacology and Experimental Therapeutics. 382(2). 233–245. 11 indexed citations
9.
Manickam, Ravikumar, Sachin L. Badole, Kalyan C. Chapalamadugu, et al.. (2022). Nampt activator P7C3 ameliorates diabetes and improves skeletal muscle function modulating cell metabolism and lipid mediators. Journal of Cachexia Sarcopenia and Muscle. 13(2). 1177–1196. 37 indexed citations
10.
11.
Manickam, Ravikumar, Kalina Duszka, & Walter Wahli. (2020). PPARs and Microbiota in Skeletal Muscle Health and Wasting. International Journal of Molecular Sciences. 21(21). 8056–8056. 76 indexed citations
12.
Ellero‐Simatos, Sandrine, et al.. (2019). Depletion of Gram-Positive Bacteria Impacts Hepatic Biological Functions During the Light Phase. International Journal of Molecular Sciences. 20(4). 812–812. 10 indexed citations
13.
Manickam, Ravikumar, et al.. (2018). Metronidazole Causes Skeletal Muscle Atrophy and Modulates Muscle Chronometabolism. International Journal of Molecular Sciences. 19(8). 2418–2418. 50 indexed citations
14.
Manickam, Ravikumar & Walter Wahli. (2016). Roles of Peroxisome Proliferator-Activated Receptor β/δ in skeletal muscle physiology. Biochimie. 136. 42–48. 64 indexed citations
15.
Manickam, Ravikumar, Xiaojia Ge, Sabeera Bonala, et al.. (2015). Inactivation of PPARβ/δ adversely affects satellite cells and reduces postnatal myogenesis. American Journal of Physiology-Endocrinology and Metabolism. 309(2). E122–E131. 21 indexed citations
16.
McFarlane, Craig, Arigela Harikumar, Sudarsanareddy Lokireddy, et al.. (2014). Negative Auto-Regulation of Myostatin Expression is Mediated by Smad3 and MicroRNA-27. PLoS ONE. 9(1). e87687–e87687. 58 indexed citations
17.
Lew, Betina Joyce, Ravikumar Manickam, & B. Paige Lawrence. (2011). Activation of the Aryl Hydrocarbon Receptor During Pregnancy in the Mouse Alters Mammary Development Through Direct Effects on Stromal and Epithelial Tissues1. Biology of Reproduction. 84(6). 1094–1102. 19 indexed citations
18.
Manickam, Ravikumar, Ramona N. Pena, & Bruce Whitelaw. (2008). Mammary gland differentiation inversely correlates with GDF‐8 expression. Molecular Reproduction and Development. 75(12). 1783–1788. 16 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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