Virginia Quan

11 total papers · 500 total citations
8 papers, 339 citations indexed

About

Virginia Quan is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Surgery. According to data from OpenAlex, Virginia Quan has authored 8 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Infectious Diseases and 2 papers in Surgery. Recurrent topics in Virginia Quan's work include COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers) and Electrolyte and hormonal disorders (2 papers). Virginia Quan is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers) and Electrolyte and hormonal disorders (2 papers). Virginia Quan collaborates with scholars based in United Kingdom and United States. Virginia Quan's co-authors include Mysore K. Phanish, Irina Chis Ster, Debasish Banerjee, Sapna Shah, Joyce Popoola, Steven H. Sacks, Adrian P. Kelly, C S Ogg, Nicholas Cole and Richard Hull and has published in prestigious journals such as Kidney International, Transplantation and Nephrology Dialysis Transplantation.

In The Last Decade

Virginia Quan

7 papers receiving 332 citations

Author Peers

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

Author						Papers	Cites
Virginia Quan	240	113	89	54	46	8	339
Yorg Azzi	256 1.1×	89 0.8×	111 1.2×	51 0.9×	33 0.7×	8	317
Stefano Possenti	234 1.0×	119 1.1×	74 0.8×	57 1.1×	43 0.9×	10	294
Elena Guillén	179 0.7×	100 0.9×	54 0.6×	48 0.9×	84 1.8×	11	370
Yuzhang Wu	278 1.2×	103 0.9×	44 0.5×	49 0.9×	56 1.2×	6	375
Yuriy Khanin	251 1.0×	85 0.8×	34 0.4×	75 1.4×	122 2.7×	8	398
Laura Econimo	225 0.9×	122 1.1×	75 0.8×	62 1.1×	45 1.0×	14	346
Sara Haddadi	157 0.7×	90 0.8×	63 0.7×	59 1.1×	22 0.5×	12	302
Yongming Shen	185 0.8×	47 0.4×	72 0.8×	23 0.4×	59 1.3×	5	314
Cesar F. Hernandez-Arroyo	271 1.1×	90 0.8×	39 0.4×	77 1.4×	127 2.8×	5	390
Valentina De Zan	194 0.8×	72 0.6×	9 0.1×	20 0.4×	29 0.6×	8	307

Countries citing papers authored by Virginia Quan

Since Specialization

Citations

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

Fields of papers citing papers by Virginia Quan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Quan

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