Maya K. Rao

54 total papers · 2.5k total citations
15 papers, 644 citations indexed

About

Maya K. Rao is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Maya K. Rao has authored 15 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nephrology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Surgery. Recurrent topics in Maya K. Rao's work include Dialysis and Renal Disease Management (7 papers), Diabetes Treatment and Management (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Maya K. Rao is often cited by papers focused on Dialysis and Renal Disease Management (7 papers), Diabetes Treatment and Management (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Maya K. Rao collaborates with scholars based in United States and Switzerland. Maya K. Rao's co-authors include Jai Radhakrishnan, Sumit Mohan, Jacob S. Stevens, Ali G. Gharavi, Anthony M. Valeri, S. Ali Husain, Wooin Ahn, Shelief Y. Robbins-Juarez, Pietro A. Canetta and Andrew S. Bomback and has published in prestigious journals such as Kidney International, The American Journal of Medicine and Journal of the American Society of Nephrology.

In The Last Decade

Maya K. Rao

14 papers receiving 621 citations

Author Peers

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

Author Last Decade Papers Cites
Maya K. Rao 299 185 96 84 80 15 644
Eduardo Lacson 340 1.1× 210 1.1× 49 0.5× 64 0.8× 104 1.3× 34 741
Tanya S. Johns 210 0.7× 245 1.3× 66 0.7× 143 1.7× 82 1.0× 17 677
Sohail Abdul Salim 213 0.7× 157 0.8× 73 0.8× 102 1.2× 211 2.6× 44 780
Weifeng Shang 130 0.4× 165 0.9× 86 0.9× 96 1.1× 73 0.9× 22 594
Mohammed Al‐Jaghbeer 224 0.7× 173 0.9× 119 1.2× 37 0.4× 98 1.2× 28 645
Hilda Fernández 332 1.1× 101 0.5× 50 0.5× 35 0.4× 118 1.5× 30 691
Rahul Mainra 211 0.7× 56 0.3× 57 0.6× 44 0.5× 106 1.3× 37 655
Nicola Bossini 125 0.4× 274 1.5× 122 1.3× 78 0.9× 115 1.4× 26 596
Alessandra Pola 157 0.5× 226 1.2× 120 1.3× 60 0.7× 148 1.9× 13 647
James Medcalf 381 1.3× 53 0.3× 31 0.3× 31 0.4× 79 1.0× 30 660

Countries citing papers authored by Maya K. Rao

Since Specialization
Citations

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

Fields of papers citing papers by Maya K. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya K. Rao

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