Victoria Goss

50 total papers · 1.3k total citations
15 papers, 308 citations indexed

About

Victoria Goss is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Victoria Goss has authored 15 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 5 papers in Endocrine and Autonomic Systems and 3 papers in Molecular Biology. Recurrent topics in Victoria Goss's work include Neonatal Respiratory Health Research (9 papers), Respiratory Support and Mechanisms (5 papers) and Neuroscience of respiration and sleep (5 papers). Victoria Goss is often cited by papers focused on Neonatal Respiratory Health Research (9 papers), Respiratory Support and Mechanisms (5 papers) and Neuroscience of respiration and sleep (5 papers). Victoria Goss collaborates with scholars based in United Kingdom, United States and Israel. Victoria Goss's co-authors include Anthony D. Postle, Michael P. W. Grocott, Ahilanandan Dushianthan, Rebecca Cusack, Alan N. Hunt, Grielof Koster, Emma M. Lofthouse, Philip J Smith, Roser Vega and Mark A. Hanson and has published in prestigious journals such as American Journal of Clinical Nutrition, International Journal of Molecular Sciences and Thorax.

In The Last Decade

Victoria Goss

13 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Victoria Goss	143	100	44	32	29	15	308
J.J. Biezenski	78 0.5×	70 0.7×	13 0.3×	74 2.3×	25 0.9×	21	361
Thomas A. Blumenfeld	114 0.8×	41 0.4×	49 1.1×	83 2.6×	22 0.8×	17	298
R. Green	112 0.8×	103 1.0×	10 0.2×	31 1.0×	25 0.9×	12	331
Arij Faksh	237 1.7×	42 0.4×	114 2.6×	63 2.0×	37 1.3×	17	362
Heike Dombrowsky	142 1.0×	109 1.1×	57 1.3×	17 0.5×	25 0.9×	15	334
George Y. Shinowara	88 0.6×	44 0.4×	9 0.2×	36 1.1×	14 0.5×	17	286
Marilyn L. Scott	63 0.4×	99 1.0×	26 0.6×	57 1.8×	20 0.7×	18	353
Ester Correia Sarmento Rios	30 0.2×	94 0.9×	30 0.7×	14 0.4×	51 1.8×	16	362
Daniel T. Malleske	182 1.3×	56 0.6×	30 0.7×	59 1.8×	41 1.4×	14	339
Maria Carmina Pau	94 0.7×	73 0.7×	31 0.7×	24 0.8×	35 1.2×	21	352

Countries citing papers authored by Victoria Goss

Since Specialization

Citations

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

Fields of papers citing papers by Victoria Goss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Goss

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