Sarika Rao

47 total papers · 664 total citations
26 papers, 423 citations indexed

About

Sarika Rao is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, Sarika Rao has authored 26 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Surgery and 9 papers in Oncology. Recurrent topics in Sarika Rao's work include Thyroid Cancer Diagnosis and Treatment (10 papers), Pituitary Gland Disorders and Treatments (5 papers) and Adrenal and Paraganglionic Tumors (5 papers). Sarika Rao is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (10 papers), Pituitary Gland Disorders and Treatments (5 papers) and Adrenal and Paraganglionic Tumors (5 papers). Sarika Rao collaborates with scholars based in United States, United Kingdom and Brazil. Sarika Rao's co-authors include Maria E. Cabanillas, Robert C. Smallridge, Uma Ali, Ramona Dadu, Naifa L. Busaidy, G. Brandon Gunn, Charles Lu, Neil D. Gross, William N. William and Victor Bernet and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sarika Rao

23 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Sarika Rao 256 136 113 102 75 26 423
Ying‐Hsia Chu 206 0.8× 83 0.6× 117 1.0× 110 1.1× 146 1.9× 26 484
Hankui Lu 148 0.6× 102 0.8× 126 1.1× 39 0.4× 73 1.0× 31 427
Marı́a Niveiro 123 0.5× 150 1.1× 134 1.2× 59 0.6× 80 1.1× 35 413
Rami Katra 254 1.0× 160 1.2× 59 0.5× 26 0.3× 89 1.2× 19 452
Fabiana Pani 208 0.8× 66 0.5× 157 1.4× 28 0.3× 62 0.8× 28 438
Yuanqiang Lin 156 0.6× 165 1.2× 50 0.4× 73 0.7× 65 0.9× 31 473
Raya Saba 82 0.3× 232 1.7× 61 0.5× 80 0.8× 65 0.9× 29 405
Howard D. Epstein 134 0.5× 57 0.4× 107 0.9× 40 0.4× 96 1.3× 28 427
Conny Bürk 118 0.5× 132 1.0× 82 0.7× 25 0.2× 37 0.5× 18 391
Luisa Circelli 77 0.3× 70 0.5× 218 1.9× 67 0.7× 109 1.5× 23 427

Countries citing papers authored by Sarika Rao

Since Specialization
Citations

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

Fields of papers citing papers by Sarika Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarika Rao

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