Laura Chinezu

43 total papers · 446 total citations
21 papers, 299 citations indexed

About

Laura Chinezu is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Laura Chinezu has authored 21 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Epidemiology. Recurrent topics in Laura Chinezu's work include Pituitary Gland Disorders and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Neuroendocrine Tumor Research Advances (5 papers). Laura Chinezu is often cited by papers focused on Pituitary Gland Disorders and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Neuroendocrine Tumor Research Advances (5 papers). Laura Chinezu collaborates with scholars based in Romania, France and United Kingdom. Laura Chinezu's co-authors include Alexandre Vasiljevic, Jacqueline Trouillas, Emmanuel Jouanneau, Gérald Raverot, Angela Borda, Patrick François, Lilla Reiniger, Wolfgang Saeger, Silvia Uccella and Valeria Barresi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Thrombosis and Haemostasis.

In The Last Decade

Laura Chinezu

18 papers receiving 294 citations

Author Peers

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

Author						Papers	Cites
Laura Chinezu	223	125	116	96	31	21	299
R. J. W. de Keizer	195 0.9×	118 0.9×	116 1.0×	83 0.9×	8 0.3×	16	323
A. Calì	180 0.8×	58 0.5×	116 1.0×	18 0.2×	18 0.6×	17	330
Timothy Shao Ern Tan	169 0.8×	157 1.3×	135 1.2×	30 0.3×	24 0.8×	28	354
Fiona Ryan	170 0.8×	57 0.5×	36 0.3×	26 0.3×	19 0.6×	18	244
P. Varrella	162 0.7×	122 1.0×	126 1.1×	26 0.3×	24 0.8×	18	356
Joonyub Lee	137 0.6×	68 0.5×	53 0.5×	61 0.6×	95 3.1×	23	341
Nicola Tufton	149 0.7×	26 0.2×	157 1.4×	46 0.5×	8 0.3×	24	245
Iraklis Vainas	229 1.0×	89 0.7×	138 1.2×	44 0.5×	4 0.1×	18	336
Silvia Vandeva	260 1.2×	41 0.3×	136 1.2×	65 0.7×	9 0.3×	23	311
Miren Aizpurua	137 0.6×	232 1.9×	32 0.3×	57 0.6×	27 0.9×	17	328

Countries citing papers authored by Laura Chinezu

Since Specialization

Citations

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

Fields of papers citing papers by Laura Chinezu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Chinezu

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