Graciela Stalldecker

34 total papers · 727 total citations
11 papers, 222 citations indexed

About

Graciela Stalldecker is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Neurology. According to data from OpenAlex, Graciela Stalldecker has authored 11 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 2 papers in Neurology. Recurrent topics in Graciela Stalldecker's work include Pituitary Gland Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adrenal and Paraganglionic Tumors (4 papers). Graciela Stalldecker is often cited by papers focused on Pituitary Gland Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adrenal and Paraganglionic Tumors (4 papers). Graciela Stalldecker collaborates with scholars based in Argentina, Spain and Colombia. Graciela Stalldecker's co-authors include Mirtha Guitelman, Alberto Chervín, Patricia Day, Susana Mallea-Gil, Hugo Boquete, Hugo Fideleff, Marcos Manavela, Carolina Cristina, Laura Boero and Karina Danilowicz and has published in prestigious journals such as Biomedicine & Pharmacotherapy, Pituitary and Growth Hormone & IGF Research.

In The Last Decade

Graciela Stalldecker

11 papers receiving 211 citations

Author Peers

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

Author						Papers	Cites
Graciela Stalldecker	198	99	55	44	20	11	222
Maria M. Pineyro	194 1.0×	102 1.0×	19 0.3×	30 0.7×	11 0.6×	17	256
H. Grulet	180 0.9×	89 0.9×	75 1.4×	57 1.3×	23 1.1×	18	281
Ana Laura Espinosa de los Monteros	313 1.6×	130 1.3×	28 0.5×	30 0.7×	39 1.9×	11	327
Julie Lynch	135 0.7×	33 0.3×	42 0.8×	21 0.5×	25 1.3×	17	184
Aggeliki Dimopoulos	100 0.5×	112 1.1×	33 0.6×	28 0.6×	36 1.8×	7	168
V. Rohmer	232 1.2×	76 0.8×	16 0.3×	111 2.5×	16 0.8×	8	274
Susana Mallea-Gil	136 0.7×	52 0.5×	13 0.2×	45 1.0×	27 1.4×	9	181
Christine Yedinak	168 0.8×	64 0.6×	13 0.2×	27 0.6×	14 0.7×	14	226
Sarah E. Mayson	151 0.8×	77 0.8×	29 0.5×	33 0.8×	23 1.1×	14	233
Churn-Ern Yip	154 0.8×	66 0.7×	45 0.8×	32 0.7×	11 0.6×	9	178

Countries citing papers authored by Graciela Stalldecker

Since Specialization

Citations

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

Fields of papers citing papers by Graciela Stalldecker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graciela Stalldecker

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