Salvador Castells

75 total papers · 1.1k total citations
51 papers, 812 citations indexed

About

Salvador Castells is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Salvador Castells has authored 51 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Genetics and 12 papers in Surgery. Recurrent topics in Salvador Castells's work include Metabolism and Genetic Disorders (9 papers), Pancreatic function and diabetes (8 papers) and Growth Hormone and Insulin-like Growth Factors (8 papers). Salvador Castells is often cited by papers focused on Metabolism and Genetic Disorders (9 papers), Pancreatic function and diabetes (8 papers) and Growth Hormone and Insulin-like Growth Factors (8 papers). Salvador Castells collaborates with scholars based in United States and Denmark. Salvador Castells's co-authors include Mary Ann Banerji, Eduardo Ortí, K. E. Wisniewski, Vatcharapan Umpaichitra, Fenella Greig, Seiichi Yasumura, Ernest Schwartz, Gene S. Fisch, John M. Opitz and James F. Reynolds and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Clinical Orthopaedics and Related Research.

In The Last Decade

Salvador Castells

51 papers receiving 747 citations

Author Peers

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

Author Last Decade Papers Cites
Salvador Castells 379 226 151 138 132 51 812
Veselin Škrabić 273 0.7× 323 1.4× 175 1.2× 116 0.8× 49 0.4× 47 726
Jesús Manuel Eirís Puñal 184 0.5× 87 0.4× 237 1.6× 127 0.9× 42 0.3× 95 1.0k
Dumitru Brănișteanu 146 0.4× 163 0.7× 225 1.5× 92 0.7× 22 0.2× 56 1.0k
R. Luboshitzky 79 0.2× 247 1.1× 110 0.7× 58 0.4× 156 1.2× 59 914
Sven Lyrenäs 111 0.3× 130 0.6× 89 0.6× 176 1.3× 32 0.2× 33 937
Chiara Paganini 255 0.7× 265 1.2× 235 1.6× 72 0.5× 28 0.2× 47 699
Haydeé Rosas‐Vargas 321 0.8× 69 0.3× 431 2.9× 49 0.4× 88 0.7× 44 944
J Morissette 331 0.9× 217 1.0× 229 1.5× 52 0.4× 27 0.2× 38 865
Shuang Qiu 123 0.3× 166 0.7× 116 0.8× 74 0.5× 187 1.4× 34 739
Anke Lux 120 0.3× 102 0.5× 442 2.9× 90 0.7× 45 0.3× 62 1.0k

Countries citing papers authored by Salvador Castells

Since Specialization
Citations

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

Fields of papers citing papers by Salvador Castells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvador Castells

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