Madhu Ramesh

617 total citations
26 papers, 453 citations indexed

About

Madhu Ramesh is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Madhu Ramesh has authored 26 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Physiology and 8 papers in Pharmacology. Recurrent topics in Madhu Ramesh's work include Alzheimer's disease research and treatments (11 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Computational Drug Discovery Methods (5 papers). Madhu Ramesh is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Computational Drug Discovery Methods (5 papers). Madhu Ramesh collaborates with scholars based in India, Sweden and France. Madhu Ramesh's co-authors include Thimmaiah Govindaraju, Kolla Rajasekhar, Pushparathinam Gopinath, N. Arul Murugan, Sourav Samanta, Devanshi Shah, Shadab Alam, Pandeeswar Makam, Mahmoud E. S. Soliman and Suryanarayanarao Ramakumar and has published in prestigious journals such as Chemical Communications, Journal of Medicinal Chemistry and Chemical Science.

In The Last Decade

Madhu Ramesh

24 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Madhu Ramesh India	13	188	184	91	69	53	26	453
Charlotte Revill United Kingdom	9	319 1.7×	259 1.4×	34 0.4×	67 1.0×	37 0.7×	12	555
Valeria Lanza Italy	15	236 1.3×	221 1.2×	57 0.6×	23 0.3×	42 0.8×	29	573
Fancy Thomas United States	6	122 0.6×	113 0.6×	70 0.8×	37 0.5×	24 0.5×	7	387
Meryn L. Bowen Canada	11	88 0.5×	225 1.2×	126 1.4×	28 0.4×	58 1.1×	11	528
Sara García‐Viñuales Italy	10	198 1.1×	183 1.0×	48 0.5×	20 0.3×	21 0.4×	19	363
Marco Miotto Argentina	15	175 0.9×	202 1.1×	34 0.4×	23 0.3×	24 0.5×	23	577
Elena Puris Finland	17	279 1.5×	139 0.8×	41 0.5×	18 0.3×	18 0.3×	26	695
In-Sun Park South Korea	14	403 2.1×	81 0.4×	57 0.6×	23 0.3×	36 0.7×	27	704
Shiori Tamamizu‐Kato United States	6	480 2.6×	385 2.1×	54 0.6×	16 0.2×	29 0.5×	6	760

Countries citing papers authored by Madhu Ramesh

Since Specialization

Citations

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

Fields of papers citing papers by Madhu Ramesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Ramesh

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Ramesh. A scholar is included among the top collaborators of Madhu Ramesh 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 Madhu Ramesh. Madhu Ramesh 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

Ramesh, Madhu & Thimmaiah Govindaraju. (2025). MiR-7a–Klf4 axis as a regulator and therapeutic target of neuroinflammation and ferroptosis in Alzheimer’s disease. PubMed. 2(3). ugaf022–ugaf022.

Ramesh, Madhu, et al.. (2025). Strategic Mutations in Designer Native Peptides Combat NLRP3 Inflammasome Activation in Neurodegenerative Disorders. Journal of Medicinal Chemistry. 68(3). 2890–2902. 2 indexed citations

Ramesh, Madhu, et al.. (2025). Navigating the dichotomy of reactive oxygen, nitrogen, and sulfur species: detection strategies and therapeutic interventions. RSC Chemical Biology. 6(3). 338–357. 4 indexed citations

Ramesh, Madhu, et al.. (2025). Asrij/OCIAD1 depletion reduces inflammatory microglial activation and ameliorates Aβ pathology in an Alzheimer’s disease mouse model. Journal of Neuroinflammation. 22(1). 89–89.

Ramesh, Madhu, et al.. (2025). Combating multiple aetiologies of Alzheimer's disease to rescue behavioural deficits. Chemical Science. 16(27). 12476–12492. 1 indexed citations

Sain, S., et al.. (2025). Enzyme-induced liquid-to-solid phase transition of a mitochondria-targeted AIEgen in cancer theranostics. Materials Horizons. 12(9). 3017–3023. 1 indexed citations

Ramesh, Madhu, et al.. (2024). Polycatechols inhibit ferroptosis and modulate tau liquid–liquid phase separation to mitigate Alzheimer's disease. Materials Horizons. 11(13). 3082–3089. 16 indexed citations

Ramesh, Madhu, et al.. (2024). Role of Amyloidogenic and Non‐Amyloidogenic Protein Spaces in Neurodegenerative Diseases and their Mitigation Using Theranostic Agents. ChemBioChem. 25(13). e202400224–e202400224. 3 indexed citations

Ramesh, Madhu, et al.. (2024). Hybrid molecules synergistically mitigate ferroptosis and amyloid-associated toxicities in Alzheimer's disease. Redox Biology. 71. 103119–103119. 28 indexed citations

10.

Ramesh, Madhu, et al.. (2023). A natural polyphenol activates and enhances GPX4 to mitigate amyloid-β induced ferroptosis in Alzheimer's disease. Chemical Science. 14(35). 9427–9438. 67 indexed citations

11.

Ramesh, Madhu, et al.. (2023). Nano-quercetin mitigates triazophos-induced testicular toxicity in rats by suppressing oxidative stress and apoptosis. Food and Chemical Toxicology. 183. 114331–114331. 5 indexed citations

12.

Ramesh, Madhu, et al.. (2022). Rationally Designed Molecules Synergistically Modulate Multifaceted Aβ Toxicity, Microglial Activation, and Neuroinflammation. ACS Chemical Neuroscience. 13(14). 2209–2221. 22 indexed citations

13.

Ramesh, Madhu, et al.. (2022). Multifunctional molecules with a bipyridyl core ameliorate multifaceted amyloid toxicity. Chemical Communications. 58(43). 6288–6291. 10 indexed citations

14.

Samanta, Sourav, Kolla Rajasekhar, Madhu Ramesh, et al.. (2021). Naphthalene Monoimide Derivative Ameliorates Amyloid Burden and Cognitive Decline in a Transgenic Mouse Model of Alzheimer's Disease. Advanced Therapeutics. 4(4). 28 indexed citations

15.

Ramesh, Madhu, et al.. (2020). A matrix targeted fluorescent probe to monitor mitochondrial dynamics. Organic & Biomolecular Chemistry. 19(4). 801–808. 13 indexed citations

16.

Ramesh, Madhu, et al.. (2020). Molecular Tools to Detect Alloforms of Aβ and Tau: Implications for Multiplexing and Multimodal Diagnosis of Alzheimer’s Disease. Bulletin of the Chemical Society of Japan. 93(4). 507–546. 44 indexed citations

17.

Ramesh, Madhu, Pushparathinam Gopinath, & Thimmaiah Govindaraju. (2019). Role of Post‐translational Modifications in Alzheimer's Disease. ChemBioChem. 21(8). 1052–1079. 54 indexed citations

18.

Ramesh, Madhu, Pandeeswar Makam, Chandrashekhar Voshavar, et al.. (2018). l-Dopa and dopamine conjugated naphthalenediimides modulate amyloid β toxicity. Organic & Biomolecular Chemistry. 16(41). 7682–7692. 21 indexed citations

19.

Anand, Krishnan, et al.. (2016). Catalytic synthesis of α-amino chromone phosphonates and their antimicrobial, toxicity and potential HIV-1 RT inhibitors based on silico screening. Journal of Photochemistry and Photobiology B Biology. 166. 136–147. 12 indexed citations

20.

Ramesh, Madhu & Mahmoud E. S. Soliman. (2015). G-Protein Coupled Receptors (GPCRs): A Comprehensive Computational Perspective. Combinatorial Chemistry & High Throughput Screening. 18(4). 346–364. 6 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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