Madhu Ramesh

50 total papers · 597 total citations
26 papers, 442 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 442 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, South Africa and Sweden. Madhu Ramesh's co-authors include Thimmaiah Govindaraju, Kolla Rajasekhar, Pushparathinam Gopinath, N. Arul Murugan, Suryanarayanarao Ramakumar, Pandeeswar Makam, Shadab Alam, Devanshi Shah, Chandrashekhar Voshavar and Sourav Samanta 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 441 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Madhu Ramesh 180 180 91 68 52 26 442
Huaijiang Xiang 204 1.1× 84 0.5× 25 0.3× 37 0.5× 55 1.1× 19 439
Huali Yang 141 0.8× 82 0.5× 141 1.5× 46 0.7× 82 1.6× 30 424
Hanno Schieferstein 127 0.7× 126 0.7× 25 0.3× 34 0.5× 21 0.4× 23 459
Samiye Yabanoğlu‐Çiftçi 95 0.5× 60 0.3× 74 0.8× 30 0.4× 33 0.6× 26 396
Yuan Zhang 176 1.0× 270 1.5× 48 0.5× 11 0.2× 24 0.5× 20 490
Xiaoting Luo 189 1.1× 79 0.4× 61 0.7× 26 0.4× 32 0.6× 26 459
Benjamin L. Barthel 189 1.1× 38 0.2× 61 0.7× 18 0.3× 27 0.5× 13 372
Junlin Liu 114 0.6× 82 0.5× 59 0.6× 31 0.5× 21 0.4× 27 452
Nalini Vijay Gorantla 214 1.2× 314 1.7× 109 1.2× 18 0.3× 54 1.0× 17 496
Ping He 164 0.9× 118 0.7× 44 0.5× 39 0.6× 30 0.6× 32 467

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

Loading papers...

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

Rankless by CCL
2026