Rinki Deo

487 citations
5 papers · 9 · h-index 2

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 2
    • SARS-CoV-2 detection and testing 2
    • Advanced Biosensing Techniques and Applications 2
    • vaccines and immunoinformatics approaches 1

Rinki Deo

3 papers receiving 9 citations

Peers

Rinki Deo
Comparison fields: 5 of 7
  • Modeling and Simulation 3
  • Infectious Diseases 5
  • Cardiology and Cardiovascular Medicine 4
  • Radiology, Nuclear Medicine and Imaging 4
  • Hepatology 1
Replace Tiziana Felice with:
Tiziana Felice Malta
E. G. Nesukay Ukraine
Ayanda Trevor Mnguni South Africa
Abdulla Shehab United Arab Emirates
Maria Antonietta Mazzei Italy
Iyaloo Konstantinus Namibia
Hugo Inácio Portugal
Katarína Pastuchová Slovakia
Edward Harris United Kingdom
Tina Van Buyten Belgium
Rinki Deo relative to Tiziana Felice Malta Tiziana Felice's profile →
Citations per field
00.5×1.5×
Tiziana Felice · 1×
Citations per year

Countries citing papers authored by Rinki Deo

Since Specialization
Citations

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

Fields of papers citing papers by Rinki Deo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Rinki Deo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rinki Deo Line = papers co-authored together Rinki Deo links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 20245
2 20223
3 20241
4 20240
5 20240

About Rinki Deo

Rinki Deo is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 5 papers that have together received 9 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers), Advanced Biosensing Techniques and Applications (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 epidemiological studies (1 paper), Electron Spin Resonance Studies (1 paper), vaccines and immunoinformatics approaches (1 paper) and Chemotherapy-induced cardiotoxicity and mitigation (1 paper). The work is most often cited by research in Modeling and Simulation (3 citations), Infectious Diseases (5 citations), Cardiology and Cardiovascular Medicine (4 citations), Radiology, Nuclear Medicine and Imaging (4 citations) and Hepatology (1 citation). Rinki Deo has collaborated with scholars based in United States. Frequent co-authors include Calum A. MacRae, Shinichi Goto, Manish C. Choudhary, John W. Mellors, David A. Wohl, Tin Phan, Ruy M. Ribeiro, Judith S. Currier, Alan S. Perelson and Paul Klekotka. Their work appears in journals such as PLoS Pathogens, European Heart Journal, SHILAP Revista de lepidopterología and UNC Libraries.

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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