Subhashini Ganesan

38 total papers · 600 total citations
20 papers, 303 citations indexed

About

Subhashini Ganesan is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Clinical Psychology. According to data from OpenAlex, Subhashini Ganesan has authored 20 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Public Health, Environmental and Occupational Health and 3 papers in Clinical Psychology. Recurrent topics in Subhashini Ganesan's work include SARS-CoV-2 and COVID-19 Research (7 papers), Obesity, Physical Activity, Diet (4 papers) and SARS-CoV-2 detection and testing (4 papers). Subhashini Ganesan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Obesity, Physical Activity, Diet (4 papers) and SARS-CoV-2 detection and testing (4 papers). Subhashini Ganesan collaborates with scholars based in United Arab Emirates, India and United States. Subhashini Ganesan's co-authors include Walid Abbas Zaher, Sudha Ramalingam, Sally Mahmoud, Ashish Koshy, Walid Zaher, Thomas Chacko, Nawal Al Kaabi, Latifa Baynouna AlKetbi, Katherine E. Warren and Gulfaraz Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Public Health and BioMed Research International.

In The Last Decade

Subhashini Ganesan

19 papers receiving 296 citations

Author Peers

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

Author Last Decade Papers Cites
Subhashini Ganesan 154 70 67 45 31 20 303
Md. Utba Rashid 65 0.4× 50 0.7× 65 1.0× 37 0.8× 14 0.5× 19 232
Patrick Gad Iradukunda 106 0.7× 24 0.3× 55 0.8× 26 0.6× 18 0.6× 26 232
Saskia Popescu 113 0.7× 41 0.6× 44 0.7× 30 0.7× 14 0.5× 20 298
Saad I. Mallah 200 1.3× 28 0.4× 38 0.6× 18 0.4× 31 1.0× 21 365
K.K. Chopra 188 1.2× 21 0.3× 51 0.8× 30 0.7× 32 1.0× 33 333
Bo ‍Zhao 89 0.6× 35 0.5× 110 1.6× 13 0.3× 44 1.4× 34 365
Tahir Jameel 53 0.3× 25 0.4× 52 0.8× 67 1.5× 12 0.4× 20 294
Kara Sewalk 128 0.8× 92 1.3× 42 0.6× 16 0.4× 20 0.6× 17 351
Frida Rivera‐Buendía 86 0.6× 54 0.8× 68 1.0× 28 0.6× 4 0.1× 20 328
Nicholas Steyn 147 1.0× 33 0.5× 31 0.5× 24 0.5× 16 0.5× 19 327

Countries citing papers authored by Subhashini Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by Subhashini Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhashini Ganesan

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