Ganesan Adaikan

20 total papers · 1.5k total citations
12 papers, 373 citations indexed

About

Ganesan Adaikan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Ganesan Adaikan has authored 12 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Anesthesiology and Pain Medicine. Recurrent topics in Ganesan Adaikan's work include Cardiac electrophysiology and arrhythmias (3 papers), Anesthesia and Sedative Agents (3 papers) and Prostate Cancer Diagnosis and Treatment (2 papers). Ganesan Adaikan is often cited by papers focused on Cardiac electrophysiology and arrhythmias (3 papers), Anesthesia and Sedative Agents (3 papers) and Prostate Cancer Diagnosis and Treatment (2 papers). Ganesan Adaikan collaborates with scholars based in Singapore, Canada and Portugal. Ganesan Adaikan's co-authors include Amr El-Meliegy, Luiz Otávio Torres, Mohit Khera, Irène Buvat, Serge Carrier, Andrea Salonia, Konstantinos Hatzimouratidis, Andrew McCullough, M.J.A. Walker and Michael K. Pugsley and has published in prestigious journals such as Anesthesia & Analgesia, BJOG An International Journal of Obstetrics & Gynaecology and Urology.

In The Last Decade

Ganesan Adaikan

11 papers receiving 361 citations

Author Peers

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

Author Last Decade Papers Cites
Ganesan Adaikan 139 107 101 95 46 12 373
Karin Helsberg 118 0.8× 154 1.4× 62 0.6× 29 0.3× 42 0.9× 12 412
K‐E. Andersson 100 0.7× 100 0.9× 96 1.0× 46 0.5× 208 4.5× 10 442
GJ Christ 216 1.6× 170 1.6× 101 1.0× 18 0.2× 107 2.3× 14 346
Marie Cooper 60 0.4× 17 0.2× 131 1.3× 109 1.1× 12 0.3× 19 444
Ling DeYoung 294 2.1× 138 1.3× 84 0.8× 21 0.2× 140 3.0× 17 389
C. S. Ng 256 1.8× 258 2.4× 70 0.7× 10 0.1× 97 2.1× 11 367
Li-Qiang Qin 250 1.8× 227 2.1× 34 0.3× 28 0.3× 87 1.9× 8 414
S Kropp 122 0.9× 42 0.4× 126 1.2× 58 0.6× 5 0.1× 19 435
Mary Lee 139 1.0× 44 0.4× 33 0.3× 8 0.1× 61 1.3× 23 337
C.-S. Chen 41 0.3× 150 1.4× 27 0.3× 76 0.8× 13 0.3× 12 358

Countries citing papers authored by Ganesan Adaikan

Since Specialization
Citations

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

Fields of papers citing papers by Ganesan Adaikan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesan Adaikan

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

All Works

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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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