G. Holdsworth

78 total papers · 1.1k total citations
38 papers, 916 citations indexed

About

G. Holdsworth is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, G. Holdsworth has authored 38 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 14 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in G. Holdsworth's work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Lipid metabolism and disorders (13 papers) and Lipoproteins and Cardiovascular Health (11 papers). G. Holdsworth is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Lipid metabolism and disorders (13 papers) and Lipoproteins and Cardiovascular Health (11 papers). G. Holdsworth collaborates with scholars based in United Kingdom, United States and Venezuela. G. Holdsworth's co-authors include R. Coleman, J. Stocks, Richard L. Jackson, N.W. Revis, D. J. Galton, C.T. Hadden, J.B. Finean, K. G. Taylor, D. J. Galton and P M Dodson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

G. Holdsworth

37 papers receiving 835 citations

Author Peers

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

Author						Papers	Cites
G. Holdsworth	279	240	234	165	122	38	916
V. Sica	428 1.5×	93 0.4×	203 0.9×	64 0.4×	110 0.9×	38	1.2k
Simon Ducheix	425 1.5×	218 0.9×	128 0.5×	82 0.5×	296 2.4×	26	1.1k
Li Yang	347 1.2×	215 0.9×	117 0.5×	71 0.4×	67 0.5×	35	949
Hajime Nawata	357 1.3×	231 1.0×	57 0.2×	160 1.0×	105 0.9×	25	1.1k
Dongfang Su	253 0.9×	137 0.6×	116 0.5×	58 0.4×	87 0.7×	30	802
Juan J. Sirvent	248 0.9×	102 0.4×	84 0.4×	109 0.7×	255 2.1×	52	1.2k
Robert N. Helsley	324 1.2×	134 0.6×	175 0.7×	69 0.4×	100 0.8×	35	902
Franz Koller	429 1.5×	143 0.6×	91 0.4×	65 0.4×	54 0.4×	36	1.2k
Meng Dai	576 2.1×	114 0.5×	109 0.5×	103 0.6×	135 1.1×	54	1.2k
Susan C. McKarns	314 1.1×	60 0.3×	103 0.4×	148 0.9×	104 0.9×	28	1.0k

Countries citing papers authored by G. Holdsworth

Since Specialization

Citations

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

Fields of papers citing papers by G. Holdsworth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Holdsworth

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