Shilpa Ravindran

15 total papers · 589 total citations
11 papers, 390 citations indexed

About

Shilpa Ravindran is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Shilpa Ravindran has authored 11 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Shilpa Ravindran's work include Sepsis Diagnosis and Treatment (2 papers), Cancer Cells and Metastasis (2 papers) and MicroRNA in disease regulation (2 papers). Shilpa Ravindran is often cited by papers focused on Sepsis Diagnosis and Treatment (2 papers), Cancer Cells and Metastasis (2 papers) and MicroRNA in disease regulation (2 papers). Shilpa Ravindran collaborates with scholars based in India, United States and Qatar. Shilpa Ravindran's co-authors include R. Saikant, Kartik Ravishankar, G. Manoj, S Lakshmi, Cristina Maccalli, Sara Tomei, Rossella Galli, Anismrita Lahon, Stefania Mazzoleni and Soldano Ferrone and has published in prestigious journals such as Vaccine, Cancers and Cytokine.

In The Last Decade

Shilpa Ravindran

11 papers receiving 379 citations

Hit Papers

Procalcitonin: a promisin... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shilpa Ravindran 176 79 65 59 57 11 390
Allison J. Sutherland 187 1.1× 108 1.4× 18 0.3× 45 0.8× 80 1.4× 10 405
Lynn M. Frydrych 156 0.9× 53 0.7× 38 0.6× 67 1.1× 31 0.5× 13 413
Sebastian Dietz 193 1.1× 68 0.9× 51 0.8× 85 1.4× 80 1.4× 8 379
Peter M. Grin 139 0.8× 120 1.5× 52 0.8× 108 1.8× 23 0.4× 11 392
Bingchao Han 128 0.7× 103 1.3× 34 0.5× 26 0.4× 48 0.8× 16 394
Thibaut Girardot 190 1.1× 68 0.9× 45 0.7× 46 0.8× 12 0.2× 11 381
Yasunori Yaegashi 236 1.3× 29 0.4× 39 0.6× 73 1.2× 107 1.9× 16 380
Qingli Cai 183 1.0× 125 1.6× 40 0.6× 29 0.5× 21 0.4× 9 416
Dieter Mühlbayer 160 0.9× 39 0.5× 20 0.3× 60 1.0× 26 0.5× 14 412
Andrew Sternlicht 53 0.3× 87 1.1× 56 0.9× 103 1.7× 67 1.2× 10 371

Countries citing papers authored by Shilpa Ravindran

Since Specialization
Citations

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

Fields of papers citing papers by Shilpa Ravindran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilpa Ravindran

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