T. Verleun

31 total papers · 861 total citations
31 papers, 695 citations indexed

About

T. Verleun is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Epidemiology. According to data from OpenAlex, T. Verleun has authored 31 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Genetics and 5 papers in Epidemiology. Recurrent topics in T. Verleun's work include Pituitary Gland Disorders and Treatments (17 papers), Growth Hormone and Insulin-like Growth Factors (17 papers) and Neuroendocrine Tumor Research Advances (5 papers). T. Verleun is often cited by papers focused on Pituitary Gland Disorders and Treatments (17 papers), Growth Hormone and Insulin-like Growth Factors (17 papers) and Neuroendocrine Tumor Research Advances (5 papers). T. Verleun collaborates with scholars based in Netherlands and Guinea-Bissau. T. Verleun's co-authors include Steven W. J. Lamberts, R. Oosterom, Frank H. de Jong, Leo J. Hofland, André G. Uitterlinden, S. W. J. Lamberts, E. del Pozo, Ram B. Singh, G. Blaauw and P. M. van Koetsveld and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Life Sciences.

In The Last Decade

T. Verleun

31 papers receiving 653 citations

Author Peers

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

Author						Papers	Cites
T. Verleun	485	146	110	98	91	31	695
S. Bornstein	305 0.6×	149 1.0×	88 0.8×	82 0.8×	169 1.9×	18	685
G. K. Stalla	438 0.9×	83 0.6×	79 0.7×	130 1.3×	79 0.9×	27	772
KOSHI TANAKA	325 0.7×	135 0.9×	67 0.6×	114 1.2×	248 2.7×	48	766
Donna J. McComb	346 0.7×	85 0.6×	56 0.5×	92 0.9×	99 1.1×	27	649
Shinji Sawano	375 0.8×	48 0.3×	50 0.5×	108 1.1×	88 1.0×	38	569
O. A. Müller	378 0.8×	285 2.0×	46 0.4×	64 0.7×	67 0.7×	42	674
J. Girard	247 0.5×	111 0.8×	32 0.3×	95 1.0×	182 2.0×	37	727
Charles A. Hodson	149 0.3×	63 0.4×	86 0.8×	80 0.8×	87 1.0×	35	615
L Cantalamessa	556 1.1×	49 0.3×	78 0.7×	157 1.6×	88 1.0×	53	756
G. Virginia Upton	269 0.6×	83 0.6×	72 0.7×	49 0.5×	65 0.7×	22	562

Countries citing papers authored by T. Verleun

Since Specialization

Citations

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

Fields of papers citing papers by T. Verleun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Verleun

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