Joan Gil

33 total papers · 484 total citations
11 papers, 210 citations indexed

About

Joan Gil is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Joan Gil has authored 11 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Joan Gil's work include Pituitary Gland Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Joan Gil is often cited by papers focused on Pituitary Gland Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Joan Gil collaborates with scholars based in Spain, Palestinian Territory and United States. Joan Gil's co-authors include Mireia Jordà, Carles Zafón, Manel Puig‐Domingo, Berta Soldevila, Albert Font, Vicenç Ruiz de Porras, Antonio Picó, Betina Biagetti, Rosa Cámara and Susan M. Webb and has published in prestigious journals such as Nutrients, Oncotarget and European Journal of Endocrinology.

In The Last Decade

Joan Gil

9 papers receiving 209 citations

Author Peers

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

Author						Papers	Cites
Joan Gil	109	99	54	38	27	11	210
Danny Cheng	90 0.8×	79 0.8×	29 0.5×	28 0.7×	39 1.4×	7	185
Ninni Mu	96 0.9×	117 1.2×	42 0.8×	24 0.6×	58 2.1×	13	253
Samuel Backman	42 0.4×	94 0.9×	70 1.3×	17 0.4×	73 2.7×	11	176
Caroline Jarrett	138 1.3×	54 0.5×	89 1.6×	92 2.4×	25 0.9×	9	290
Jasmin Riemer	112 1.0×	128 1.3×	40 0.7×	23 0.6×	116 4.3×	12	276
Kirsten Thiele	71 0.7×	118 1.2×	23 0.4×	22 0.6×	63 2.3×	9	204
Carla Vaz Ferreira	77 0.7×	214 2.2×	45 0.8×	26 0.7×	59 2.2×	11	279
Manon Engels	206 1.9×	133 1.3×	31 0.6×	33 0.9×	63 2.3×	9	269
Lesley Rawlings	162 1.5×	33 0.3×	143 2.6×	42 1.1×	32 1.2×	17	256
María Currás-Freixes	61 0.6×	131 1.3×	101 1.9×	15 0.4×	101 3.7×	8	208

Countries citing papers authored by Joan Gil

Since Specialization

Citations

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

Fields of papers citing papers by Joan Gil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Gil

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