D. R. Weightman

43 total papers · 1.2k total citations
38 papers, 908 citations indexed

About

D. R. Weightman is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, D. R. Weightman has authored 38 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in D. R. Weightman's work include Thyroid Disorders and Treatments (9 papers), Pituitary Gland Disorders and Treatments (8 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). D. R. Weightman is often cited by papers focused on Thyroid Disorders and Treatments (9 papers), Pituitary Gland Disorders and Treatments (8 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). D. R. Weightman collaborates with scholars based in United Kingdom, United States and Germany. D. R. Weightman's co-authors include R. Hall, R. C. Browne, M. F. Scanlon, Malcolm Lewis, Dennis J. Shale, M Heath, P. Kendall‐Taylor, Michael Snow, Petros Perros and A Gómez-Pan and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Kidney International.

In The Last Decade

D. R. Weightman

38 papers receiving 823 citations

Author Peers

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

Author Last Decade Papers Cites
D. R. Weightman 419 114 111 102 81 38 908
KOSHI TANAKA 325 0.8× 248 2.2× 67 0.6× 107 1.0× 114 1.4× 48 766
J. H. H. Thijssen 337 0.8× 141 1.2× 76 0.7× 33 0.3× 76 0.9× 37 857
Dumitru Brănișteanu 163 0.4× 225 2.0× 104 0.9× 127 1.2× 92 1.1× 56 1.0k
Jakob O. Ström 205 0.5× 148 1.3× 133 1.2× 77 0.8× 48 0.6× 44 949
Michael Godschalk 377 0.9× 168 1.5× 46 0.4× 34 0.3× 61 0.8× 30 942
L. Kerp 294 0.7× 218 1.9× 87 0.8× 110 1.1× 174 2.1× 81 800
Mirella Hage 504 1.2× 145 1.3× 161 1.5× 24 0.2× 181 2.2× 30 961
Jeffrey D. Roizen 96 0.2× 169 1.5× 88 0.8× 96 0.9× 82 1.0× 27 774
Alan N. Elias 277 0.7× 146 1.3× 43 0.4× 41 0.4× 132 1.6× 61 790
Tai‐Chan Peng 138 0.3× 165 1.4× 61 0.5× 103 1.0× 45 0.6× 22 703

Countries citing papers authored by D. R. Weightman

Since Specialization
Citations

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

Fields of papers citing papers by D. R. Weightman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. R. Weightman

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