Praveena Narayanan

17 total papers · 649 total citations
10 papers, 474 citations indexed

About

Praveena Narayanan is a scholar working on Physiology, Hepatology and Surgery. According to data from OpenAlex, Praveena Narayanan has authored 10 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 3 papers in Hepatology and 2 papers in Surgery. Recurrent topics in Praveena Narayanan's work include Liver Disease and Transplantation (3 papers), Calcium signaling and nucleotide metabolism (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Praveena Narayanan is often cited by papers focused on Liver Disease and Transplantation (3 papers), Calcium signaling and nucleotide metabolism (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Praveena Narayanan collaborates with scholars based in United States and Chile. Praveena Narayanan's co-authors include Kymberly D. Watt, Alina M. Allen, Harmeet Malhi, Rahima A. Bhanji, Benjamin J. Perrin, James M. Ervasti, Pramod K. Mistry, Akihiro Ikeda, Julie K. Heimbach and Manhal Izzy and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Hepatology.

In The Last Decade

Praveena Narayanan

10 papers receiving 466 citations

Author Peers

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

Author						Papers	Cites
Praveena Narayanan	220	160	138	85	81	10	474
Charles Kresge	64 0.3×	34 0.2×	76 0.6×	225 2.6×	38 0.5×	16	500
Raleigh Hankins	156 0.7×	33 0.2×	118 0.9×	120 1.4×	8 0.1×	18	537
Mikiko Matsumura	45 0.2×	119 0.7×	35 0.3×	117 1.4×	11 0.1×	18	499
P G McGuire	105 0.5×	74 0.5×	56 0.4×	124 1.5×	2 0.0×	10	467
Jens Lindert	74 0.3×	52 0.3×	42 0.3×	129 1.5×	10 0.1×	11	434
Sylvie Blazejewski	206 0.9×	16 0.1×	257 1.9×	97 1.1×	7 0.1×	16	468
C B Lamers	57 0.3×	106 0.7×	18 0.1×	79 0.9×	6 0.1×	18	454
Thomas D. Reed	46 0.2×	15 0.1×	49 0.4×	305 3.6×	17 0.2×	11	452
Oscar‐Danilo Ortega‐Hernandez	63 0.3×	29 0.2×	15 0.1×	71 0.8×	19 0.2×	16	501
Beata Przybyla	42 0.2×	194 1.2×	12 0.1×	196 2.3×	7 0.1×	20	477

Countries citing papers authored by Praveena Narayanan

Since Specialization

Citations

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

Fields of papers citing papers by Praveena Narayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praveena Narayanan

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