Victoria Moore

20 total papers · 538 total citations
15 papers, 385 citations indexed

About

Victoria Moore is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Victoria Moore has authored 15 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Physiology. Recurrent topics in Victoria Moore's work include Diabetes Management and Research (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Syphilis Diagnosis and Treatment (2 papers). Victoria Moore is often cited by papers focused on Diabetes Management and Research (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Syphilis Diagnosis and Treatment (2 papers). Victoria Moore collaborates with scholars based in United Kingdom, United States and Canada. Victoria Moore's co-authors include Alistair Tulloch, Timothy M. Dall, William W. Quick, Wenya Yang, Yiduo Zhang, Yiduo Zhang, Muireann Quigley, Elisabeth Le Nestour, Sarah Mann and C. S. James and has published in prestigious journals such as Diabetic Medicine, Frontiers in Public Health and Health Expectations.

In The Last Decade

Victoria Moore

15 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
Victoria Moore	126	105	83	79	63	15	385
Tessa Laubscher	126 1.0×	168 1.6×	25 0.3×	102 1.3×	26 0.4×	21	411
Wendy Camelo Castillo	41 0.3×	40 0.4×	151 1.8×	61 0.8×	87 1.4×	21	411
Jae Seok Hong	91 0.7×	84 0.8×	23 0.3×	26 0.3×	75 1.2×	9	355
Giulio Formoso	93 0.7×	102 1.0×	19 0.2×	28 0.4×	40 0.6×	21	393
Chad Yixian Han	100 0.8×	90 0.9×	40 0.5×	59 0.7×	26 0.4×	29	386
Shahriar Khan	145 1.2×	98 0.9×	13 0.2×	20 0.3×	42 0.7×	25	441
Hee Chung Kang	88 0.7×	84 0.8×	23 0.3×	25 0.3×	76 1.2×	8	338
Abner Nyandege	103 0.8×	15 0.1×	43 0.5×	24 0.3×	87 1.4×	16	398
Laura F. Garabedian	176 1.4×	77 0.7×	13 0.2×	18 0.2×	118 1.9×	23	381
Martha L. Sylvia	208 1.7×	36 0.3×	25 0.3×	33 0.4×	86 1.4×	27	375

Countries citing papers authored by Victoria Moore

Since Specialization

Citations

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

Fields of papers citing papers by Victoria Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Moore

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