Virginia D. Black

27 total papers · 461 total citations
15 papers, 339 citations indexed

About

Virginia D. Black is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Virginia D. Black has authored 15 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Physiology. Recurrent topics in Virginia D. Black's work include Neonatal Health and Biochemistry (6 papers), Erythrocyte Function and Pathophysiology (5 papers) and Neonatal Respiratory Health Research (3 papers). Virginia D. Black is often cited by papers focused on Neonatal Health and Biochemistry (6 papers), Erythrocyte Function and Pathophysiology (5 papers) and Neonatal Respiratory Health Research (3 papers). Virginia D. Black collaborates with scholars based in United States. Virginia D. Black's co-authors include Lula O. Lubchenco, Beverly L. Koops, Craig Black, Gordon W. Schuett, Geoffrey F. Birchard, Edward Lewin, Carol M. Rumack, Ronald L. Poland, Dennis W. Luckey and Gail A. McGuinness and has published in prestigious journals such as Neurology, PEDIATRICS and American Journal of Obstetrics and Gynecology.

In The Last Decade

Virginia D. Black

15 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Virginia D. Black 96 92 86 81 63 15 339
Lawrence J. Smith 27 0.3× 13 0.1× 13 0.2× 19 0.2× 24 0.4× 15 316
Jennifer Allen 46 0.5× 14 0.2× 28 0.3× 5 0.1× 28 0.4× 11 373
Pamela M. Simmons 70 0.7× 7 0.1× 81 0.9× 33 0.4× 16 0.3× 11 361
Susan Tanksley 37 0.4× 37 0.4× 52 0.6× 70 0.9× 6 0.1× 17 382
P Donnelly 112 1.2× 7 0.1× 59 0.7× 9 0.1× 12 0.2× 19 382
Naoko Nagai 14 0.1× 4 0.0× 75 0.9× 15 0.2× 15 0.2× 21 397
Leigh A. Maginniss 25 0.3× 7 0.1× 42 0.5× 13 0.2× 17 0.3× 21 365
Lindsey Parker 35 0.4× 4 0.0× 40 0.5× 6 0.1× 76 1.2× 15 330
David C. Fainer 8 0.1× 22 0.2× 68 0.8× 11 0.1× 36 0.6× 10 400
B. Fontaine 40 0.4× 66 0.7× 23 0.3× 33 0.4× 6 0.1× 24 384

Countries citing papers authored by Virginia D. Black

Since Specialization
Citations

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

Fields of papers citing papers by Virginia D. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia D. Black

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