Anselmo Palacios

45 total papers · 685 total citations
21 papers, 529 citations indexed

About

Anselmo Palacios is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Anselmo Palacios has authored 21 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 6 papers in Reproductive Medicine. Recurrent topics in Anselmo Palacios's work include Hormonal and reproductive studies (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Sperm and Testicular Function (4 papers). Anselmo Palacios is often cited by papers focused on Hormonal and reproductive studies (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Sperm and Testicular Function (4 papers). Anselmo Palacios collaborates with scholars based in Venezuela, United States and Uruguay. Anselmo Palacios's co-authors include Roberto Lanes, Ronald S. Swerdloff, L. Arthur Campfield, Omar Villaroel, R. Dale McClure, Mariela Paoli, Eduardo Carrillo, Rebecca Z. Sokol, Peter Günczler and Gustavo Moncada and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Urology and The Journal of Pediatrics.

In The Last Decade

Anselmo Palacios

19 papers receiving 495 citations

Author Peers

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

Author						Papers	Cites
Anselmo Palacios	325	144	128	78	58	21	529
Ahmet Çorakçı	343 1.1×	66 0.5×	119 0.9×	55 0.7×	54 0.9×	29	588
K. Wraae	223 0.7×	110 0.8×	57 0.4×	47 0.6×	51 0.9×	15	545
R. De Iasio	244 0.8×	65 0.5×	104 0.8×	28 0.4×	21 0.4×	15	553
Paul Vecsei	298 0.9×	188 1.3×	72 0.6×	45 0.6×	107 1.8×	27	570
Zaven H. Chakmakjian	242 0.7×	99 0.7×	144 1.1×	77 1.0×	12 0.2×	20	589
Paul G. Cohen	294 0.9×	63 0.4×	91 0.7×	44 0.6×	15 0.3×	18	461
Mark D. Wheeler	219 0.7×	74 0.5×	75 0.6×	87 1.1×	22 0.4×	25	506
Neta Loewenthal	188 0.6×	162 1.1×	68 0.5×	129 1.7×	17 0.3×	36	562
A Tommaselli	210 0.6×	91 0.6×	42 0.3×	74 0.9×	43 0.7×	44	576
C G Brook	265 0.8×	232 1.6×	70 0.5×	136 1.7×	24 0.4×	19	585

Countries citing papers authored by Anselmo Palacios

Since Specialization

Citations

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

Fields of papers citing papers by Anselmo Palacios

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anselmo Palacios

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