David Evered

36 total papers · 1.5k total citations
25 papers, 1.1k citations indexed

About

David Evered is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, David Evered has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Public Health, Environmental and Occupational Health, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Molecular Biology. Recurrent topics in David Evered's work include Thyroid Disorders and Treatments (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Health and Medical Research Impacts (2 papers). David Evered is often cited by papers focused on Thyroid Disorders and Treatments (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Health and Medical Research Impacts (2 papers). David Evered collaborates with scholars based in United Kingdom, United States and Tunisia. David Evered's co-authors include Julie Whelan, Sara Harnett, Maeve O’Connor, Jonathan H. A. Nugent, Joe R. Anderson, Caroline M. Taylor, Norman R. Saunders, P. Gornall, Richard Wakeford and Jennifer A. Lyon and has published in prestigious journals such as Nature, The Lancet and Clinical Endocrinology.

In The Last Decade

David Evered

25 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
David Evered	356	258	172	162	136	25	1.1k
Gerd Klaus Steigleder	391 1.1×	230 0.9×	48 0.3×	68 0.4×	71 0.5×	59	1.5k
Yuxuan Miao	448 1.3×	136 0.5×	55 0.3×	269 1.7×	38 0.3×	24	1.3k
Tomomi Ito	333 0.9×	145 0.6×	71 0.4×	53 0.3×	29 0.2×	65	1.1k
Sudhir J.A. D’Souza	833 2.3×	344 1.3×	55 0.3×	44 0.3×	41 0.3×	25	1.4k
Samuel Chacko	654 1.8×	434 1.7×	32 0.2×	252 1.6×	22 0.2×	51	1.5k
Shiori Sato	337 0.9×	102 0.4×	70 0.4×	28 0.2×	24 0.2×	29	1.3k
Masahiro Nakayama	570 1.6×	53 0.2×	155 0.9×	30 0.2×	110 0.8×	48	1.1k
Frank M. Köhn	281 0.8×	55 0.2×	51 0.3×	70 0.4×	26 0.2×	32	1.2k
L. J. Pelliniemi	432 1.2×	100 0.4×	111 0.6×	102 0.6×	10 0.1×	41	1.3k
David N. Menton	432 1.2×	139 0.5×	102 0.6×	13 0.1×	42 0.3×	27	1.1k

Countries citing papers authored by David Evered

Since Specialization

Citations

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

Fields of papers citing papers by David Evered

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Evered

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