G.T. Nagel

35 total papers · 558 total citations
33 papers, 474 citations indexed

About

G.T. Nagel is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry. According to data from OpenAlex, G.T. Nagel has authored 33 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Clinical Biochemistry. Recurrent topics in G.T. Nagel's work include Metabolism and Genetic Disorders (10 papers), Hormonal and reproductive studies (8 papers) and Hormonal Regulation and Hypertension (7 papers). G.T. Nagel is often cited by papers focused on Metabolism and Genetic Disorders (10 papers), Hormonal and reproductive studies (8 papers) and Hormonal Regulation and Hypertension (7 papers). G.T. Nagel collaborates with scholars based in Netherlands, Switzerland and United Kingdom. G.T. Nagel's co-authors include B.G. Wolthers, Frits A.J. Muskiet, J.C. van der Molen, N.M. Drayer, B.J. Koopman, G.P.B. Kraan, L.D. Dikkeschei, T. E. Chapman, P.H.B. Willemse and Albert Gerding and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Lipid Research and Clinical Chemistry.

In The Last Decade

G.T. Nagel

33 papers receiving 454 citations

Author Peers

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

Author						Papers	Cites
G.T. Nagel	180	111	110	78	59	33	474
Shigeru Kurooka	219 1.2×	96 0.9×	92 0.8×	37 0.5×	25 0.4×	25	497
R. Helger	162 0.9×	120 1.1×	43 0.4×	45 0.6×	50 0.8×	20	490
Howard Ko	155 0.9×	78 0.7×	49 0.4×	45 0.6×	45 0.8×	25	468
Frans Marx	187 1.0×	46 0.4×	100 0.9×	37 0.5×	24 0.4×	43	552
Assumpta Carabaza	144 0.8×	70 0.6×	110 1.0×	30 0.4×	18 0.3×	18	467
Lennart Krabisch	136 0.8×	43 0.4×	80 0.7×	56 0.7×	54 0.9×	22	457
M Royer	110 0.6×	60 0.5×	47 0.4×	30 0.4×	48 0.8×	26	426
Manford D. Morris	179 1.0×	173 1.6×	192 1.7×	26 0.3×	21 0.4×	19	541
Allan B. Graham	188 1.0×	57 0.5×	77 0.7×	48 0.6×	41 0.7×	23	469
William M. Doizaki	154 0.9×	43 0.4×	99 0.9×	27 0.3×	43 0.7×	23	499

Countries citing papers authored by G.T. Nagel

Since Specialization

Citations

This map shows the geographic impact of G.T. Nagel'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.T. Nagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.T. Nagel more than expected).

Fields of papers citing papers by G.T. Nagel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.T. Nagel

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