Manish Chamoli

1.4k total citations
23 papers, 496 citations indexed

About

Manish Chamoli is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Manish Chamoli has authored 23 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Aging, 8 papers in Molecular Biology and 6 papers in Endocrine and Autonomic Systems. Recurrent topics in Manish Chamoli's work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (6 papers) and Autophagy in Disease and Therapy (4 papers). Manish Chamoli is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (6 papers) and Autophagy in Disease and Therapy (4 papers). Manish Chamoli collaborates with scholars based in United States, India and United Kingdom. Manish Chamoli's co-authors include Julie K. Andersen, Arnab Mukhopadhyay, Shankar J. Chinta, Gordon J. Lithgow, Anupama Singh, Pankaj Kapahi, Nihar Ranjan Jana, Anand Rane, Kausik Chakraborty and Roshan Kumar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Manish Chamoli

22 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish Chamoli United States 13 202 195 127 62 44 23 496
Alex L. Lublin United States 12 275 1.4× 195 1.0× 316 2.5× 45 0.7× 28 0.6× 18 658
Nikoletta Papaevgeniou Greece 13 337 1.7× 139 0.7× 120 0.9× 39 0.6× 89 2.0× 17 543
Claire Schaar United States 5 267 1.3× 323 1.7× 114 0.9× 82 1.3× 31 0.7× 5 495
Clare Edwards United States 5 230 1.1× 237 1.2× 196 1.5× 70 1.1× 29 0.7× 5 479
Sheng Fong Singapore 10 271 1.3× 271 1.4× 180 1.4× 78 1.3× 24 0.5× 15 541
Cendrine Tourette France 10 376 1.9× 159 0.8× 206 1.6× 23 0.4× 97 2.2× 15 721
Alessio Donati Italy 15 204 1.0× 145 0.7× 265 2.1× 49 0.8× 204 4.6× 25 591
Zhenhuan Luo China 8 201 1.0× 90 0.5× 59 0.5× 14 0.2× 32 0.7× 11 343
Camille C. Caldeira da Silva Brazil 10 285 1.4× 83 0.4× 261 2.1× 57 0.9× 54 1.2× 12 552
Paulina Jędrak Poland 4 226 1.1× 27 0.1× 76 0.6× 13 0.2× 47 1.1× 6 388

Countries citing papers authored by Manish Chamoli

Since Specialization
Citations

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

Fields of papers citing papers by Manish Chamoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Chamoli

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Chamoli. A scholar is included among the top collaborators of Manish Chamoli 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 Manish Chamoli. Manish Chamoli 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.
Chamoli, Manish, et al.. (2025). Mitigating Pro‐Inflammatory SASP and DAMP With Urolithin A: A Novel Senomorphic Strategy. Aging Cell. 24(11). e70237–e70237.
2.
Chamoli, Manish, Dipa Bhaumik, Christina D. King, et al.. (2024). Amyloid β accelerates age-related proteome-wide protein insolubility. GeroScience. 46(5). 4585–4602. 2 indexed citations
3.
Nambiar, Dhanya K., Vignesh Viswanathan, Hongbin Cao, et al.. (2023). Galectin-1 Mediates Chronic STING Activation in Tumors to Promote Metastasis through MDSC Recruitment. Cancer Research. 83(19). 3205–3219. 26 indexed citations
4.
Chamoli, Manish, Anand Rane, Anna Foulger, et al.. (2023). A drug-like molecule engages nuclear hormone receptor DAF-12/FXR to regulate mitophagy and extend lifespan. Nature Aging. 3(12). 1529–1543. 20 indexed citations
5.
Singh, Anupama, et al.. (2023). DNA damage signals from somatic uterine tissue arrest oogenesis through activated DAF-16. Development. 150(17). 1 indexed citations
6.
7.
Bellantuono, Ilaria, Heather Mortiboys, Emily M. Rocha, et al.. (2023). Aging, Parkinson’s Disease, and Models: What Are the Challenges?. PubMed. 1(1). 20230010–20230010. 3 indexed citations
8.
Foulger, Anna, Mark Lucanic, Anand Rane, et al.. (2022). Potassium-chelating drug sodium polystyrene sulfonate enhances lysosomal function and suppresses proteotoxicity. GeroScience. 45(2). 1237–1245. 1 indexed citations
9.
Khanna, Amit, Durai Sellegounder, Jitendra Kumar, et al.. (2021). Trimethylamine modulates dauer formation, neurodegeneration, and lifespan through tyra‐3/daf‐11 signaling in Caenorhabditis elegans. Aging Cell. 20(5). e13351–e13351. 3 indexed citations
10.
Angeli, Suzanne, Anna Foulger, Manish Chamoli, et al.. (2021). The mitochondrial permeability transition pore activates the mitochondrial unfolded protein response and promotes aging. eLife. 10. 36 indexed citations
11.
Wilson, Kenneth A., Manish Chamoli, Tyler Hilsabeck, et al.. (2021). Evaluating the beneficial effects of dietary restrictions: A framework for precision nutrigeroscience. Cell Metabolism. 33(11). 2142–2173. 38 indexed citations
12.
13.
Xie, Xueshu, Manish Chamoli, Dipa Bhaumik, et al.. (2020). Quantification of Insoluble Protein Aggregation in <em>Caenorhabditis elegans</em> during Aging with a Novel Data-Independent Acquisition Workflow. Journal of Visualized Experiments. 26–27. 4 indexed citations
14.
Chamoli, Manish, Anupama Singh, Adam Antebi, et al.. (2020). Polyunsaturated fatty acids and p38-MAPK link metabolic reprogramming to cytoprotective gene expression during dietary restriction. Nature Communications. 11(1). 4865–4865. 25 indexed citations
15.
Chinta, Shankar J., et al.. (2020). Dysregulated iron metabolism in C. elegans catp-6/ATP13A2 mutant impairs mitochondrial function. Neurobiology of Disease. 139. 104786–104786. 30 indexed citations
16.
Tezil, Tuğsan, Manish Chamoli, Victoria Butler, et al.. (2019). Lifespan-increasing drug nordihydroguaiaretic acid inhibits p300 and activates autophagy. SHILAP Revista de lepidopterología. 5(1). 7–7. 35 indexed citations
17.
Chamoli, Manish, et al.. (2019). Dietary restriction improves proteostasis and increases life span through endoplasmic reticulum hormesis. Proceedings of the National Academy of Sciences. 116(35). 17383–17392. 78 indexed citations
18.
Rane, Anand, et al.. (2019). Gedunin Inhibits Oligomeric Aβ1–42-Induced Microglia Activation Via Modulation of Nrf2-NF-κB Signaling. Molecular Neurobiology. 56(11). 7851–7862. 30 indexed citations
19.
Chamoli, Manish, Shankar J. Chinta, & Julie K. Andersen. (2018). An inducible MAO-B mouse model of Parkinson’s disease: a tool towards better understanding basic disease mechanisms and developing novel therapeutics. Journal of Neural Transmission. 125(11). 1651–1658. 24 indexed citations
20.
Chaudhuri, Jyotiska, Neelanjan Bose, Jianke Gong, et al.. (2016). A Caenorhabditis elegans Model Elucidates a Conserved Role for TRPA1-Nrf Signaling in Reactive α-Dicarbonyl Detoxification. Current Biology. 26(22). 3014–3025. 52 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Alex L. Lublin Breakdown of academic impact, for papers by Nikoletta Papaevgeniou Breakdown of academic impact, for papers by Claire Schaar Breakdown of academic impact, for papers by Clare Edwards Breakdown of academic impact, for papers by Sheng Fong Breakdown of academic impact, for papers by Cendrine Tourette Breakdown of academic impact, for papers by Alessio Donati Breakdown of academic impact, for papers by Zhenhuan Luo Breakdown of academic impact, for papers by Camille C. Caldeira da Silva Breakdown of academic impact, for papers by Paulina Jędrak
Rankless by CCL
2026