Vijay U. Rao

37 total papers · 998 total citations
19 papers, 707 citations indexed

About

Vijay U. Rao is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Vijay U. Rao has authored 19 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Vijay U. Rao's work include Chemotherapy-induced cardiotoxicity and mitigation (6 papers), Heart Failure Treatment and Management (6 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Vijay U. Rao is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (6 papers), Heart Failure Treatment and Management (6 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Vijay U. Rao collaborates with scholars based in United States, United Kingdom and Switzerland. Vijay U. Rao's co-authors include Radhakrishna Rao, Karl John Karnaky, Akshay Gupta, Shyamali Basuroy, Paul J. McDermott, Francis G. Spinale, Dhandapani Kuppuswamy, Phillip Moschella, David Musselman and Micki Klearman and has published in prestigious journals such as Journal of the American College of Cardiology, Biochemical Journal and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Vijay U. Rao

16 papers receiving 696 citations

Author Peers

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

Author						Papers	Cites
Vijay U. Rao	310	184	165	128	89	19	707
Sunitha Yanamadala	261 0.8×	256 1.4×	42 0.3×	94 0.7×	64 0.7×	23	874
Katia Galan	299 1.0×	165 0.9×	46 0.3×	94 0.7×	27 0.3×	19	798
Hideki Fujimori	218 0.7×	56 0.3×	94 0.6×	38 0.3×	26 0.3×	23	871
Patrícia Dillenburg-Pilla	414 1.3×	47 0.3×	48 0.3×	133 1.0×	38 0.4×	14	847
Wilfried Schgoer	331 1.1×	174 0.9×	25 0.2×	102 0.8×	54 0.6×	31	887
Zhongping Su	378 1.2×	55 0.3×	40 0.2×	104 0.8×	23 0.3×	20	720
Tuantuan Zhao	346 1.1×	83 0.5×	46 0.3×	48 0.4×	60 0.7×	20	793
Yuehu Han	464 1.5×	57 0.3×	29 0.2×	135 1.1×	31 0.3×	22	772
Yun Zhang	274 0.9×	78 0.4×	27 0.2×	50 0.4×	49 0.6×	25	790
Guang‐Nian Zhao	426 1.4×	99 0.5×	42 0.3×	86 0.7×	17 0.2×	24	856

Countries citing papers authored by Vijay U. Rao

Since Specialization

Citations

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

Fields of papers citing papers by Vijay U. Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay U. Rao

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