Virginia Brown

45 total papers · 884 total citations
25 papers, 652 citations indexed

About

Virginia Brown is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Virginia Brown has authored 25 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Virginia Brown's work include Ethics in medical practice (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers) and Ethics and Legal Issues in Pediatric Healthcare (3 papers). Virginia Brown is often cited by papers focused on Ethics in medical practice (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers) and Ethics and Legal Issues in Pediatric Healthcare (3 papers). Virginia Brown collaborates with scholars based in United States, United Kingdom and Canada. Virginia Brown's co-authors include Douglas A. Burns, Jeffrey J. McDonnell, Carol Kendall, Marco Londei, Salvatore Auricchio, Sonia Quaratino, Carolina Ciacci, Luigi Maiuri, Fang Liu and Harshani Wijerathne and has published in prestigious journals such as Gastroenterology, Analytical Chemistry and Chemical Communications.

In The Last Decade

Virginia Brown

24 papers receiving 619 citations

Author Peers

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

Author						Papers	Cites
Virginia Brown	202	170	132	89	88	25	652
Xiaoxue Shen	71 0.4×	70 0.4×	10 0.1×	17 0.2×	33 0.4×	33	727
Wen Liu	105 0.5×	5 0.0×	25 0.2×	31 0.3×	54 0.6×	35	685
D. Uhlmann	123 0.6×	6 0.0×	46 0.3×	11 0.1×	155 1.8×	70	787
Megan Winner	30 0.1×	8 0.0×	84 0.6×	16 0.2×	377 4.3×	39	702
Yuting Meng	8 0.0×	34 0.2×	38 0.3×	63 0.7×	70 0.8×	46	613
Heling Wang	53 0.3×	4 0.0×	29 0.2×	21 0.2×	96 1.1×	48	709
Yuan Zhao	24 0.1×	9 0.1×	117 0.9×	55 0.6×	57 0.6×	58	609
Su‐Ting Cheng	115 0.6×	98 0.6×	8 0.1×		76 0.9×	29	649
Jana Votrubová	101 0.5×	3 0.0×	86 0.7×	6 0.1×	129 1.5×	40	638
Zhenyan Chen	47 0.2×	3 0.0×	23 0.2×	74 0.8×	12 0.1×	51	605

Countries citing papers authored by Virginia Brown

Since Specialization

Citations

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

Fields of papers citing papers by Virginia Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Brown

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