L. Bassas

1.4k total citations
29 papers, 807 citations indexed

About

L. Bassas is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, L. Bassas has authored 29 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Molecular Biology and 8 papers in Surgery. Recurrent topics in L. Bassas's work include Growth Hormone and Insulin-like Growth Factors (9 papers), Sperm and Testicular Function (7 papers) and Congenital heart defects research (4 papers). L. Bassas is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (9 papers), Sperm and Testicular Function (7 papers) and Congenital heart defects research (4 papers). L. Bassas collaborates with scholars based in Spain, United States and Italy. L. Bassas's co-authors include Flora de Pablo, Maxine A. Lesniak, Jesse Roth, M. Marqués Girbau, José Serrano, Jorge Alemany, F de Pablo, Joaquim Sàrquella, Teresa Casals and Peggy S. Zelenka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

L. Bassas

29 papers receiving 774 citations

Peers

L. Bassas
Edith Markoff United States
Ching‐Ling C. Chen United States
Xinchang Zhou China
K Zuppinger Switzerland
Mariarosaria Lang‐Muritano Switzerland
Bobbie Mayhew United States
M Karp Israel
Eric Smith United States
Anna Maria Di Blasio Italy
G Saggese Italy
Edith Markoff United States
L. Bassas
Citations per year, relative to L. Bassas L. Bassas (= 1×) peers Edith Markoff

Countries citing papers authored by L. Bassas

Since Specialization
Citations

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

Fields of papers citing papers by L. Bassas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Bassas

This figure shows the co-authorship network connecting the top 25 collaborators of L. Bassas. A scholar is included among the top collaborators of L. Bassas 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 L. Bassas. L. Bassas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ponce, Maurizio De Rocco, et al.. (2024). Semen sEV tRF-Based Models Increase Non-Invasive Prediction Accuracy of Clinically Significant Prostate Cancer among Patients with Moderately Altered PSA Levels. International Journal of Molecular Sciences. 25(18). 10122–10122. 4 indexed citations
2.
3.
Palmisano, Franco, Daniel Moreno‐Mendoza, María Fernanda Peraza Godoy, et al.. (2019). Clinical factors affecting semen improvement after microsurgical subinguinal varicocelectomy: which subfertile patients benefit from surgery?. Therapeutic Advances in Urology. 11. 2078109224–2078109224. 9 indexed citations
4.
Chianese, Chiara, M. G. Fino, Serena Vinci, et al.. (2015). Comprehensive investigation in patients affected by sperm macrocephaly and globozoospermia. Andrology. 3(2). 203–212. 30 indexed citations
5.
Martínez-Pasarell, O., et al.. (2014). Chromosome 16 Abnormalities in Embryos and in Sperm from a Male with a Fragile Site at 16q22.1. Cytogenetic and Genome Research. 142(2). 134–139. 16 indexed citations
6.
Chianese, Chiara, L. Bassas, Patricia Ruíz, et al.. (2013). Clinical relevance of Y-linked CNV screening in male infertility: new insights based on the 8-year experience of a diagnostic genetic laboratory. European Journal of Human Genetics. 22(6). 754–761. 66 indexed citations
7.
Blanco, Joan, et al.. (2011). Hidden mosaicism in patients with Klinefelter's syndrome: implications for genetic reproductive counselling. Human Reproduction. 26(12). 3486–3493. 32 indexed citations
8.
Ars, Elisabet, L. Bassas, José Jorge Galán, et al.. (2010). ESR1 promoter polymorphism is not associated with nonsyndromic cryptorchidism. Fertility and Sterility. 95(1). 369–371.e2. 2 indexed citations
9.
Ars, Elisabet, L. Bassas, Francesca Nuti, et al.. (2010). Further insights into the role of T222P variant of RXFP2 in non-syndromic cryptorchidism in two Mediterranean populations. International Journal of Andrology. 34(4pt1). 333–338. 17 indexed citations
10.
Havasi, Viktória, Steven M. Rowe, Peter N. Kolettis, et al.. (2010). Association of cystic fibrosis genetic modifiers with congenital bilateral absence of the vas deferens. Fertility and Sterility. 94(6). 2122–2127. 19 indexed citations
11.
Masvidal, Laìa, Javier Giménez, María Dolores Burguete Ramos, et al.. (2009). The p.Arg258Gly Mutation in Intracellular Loop 2 of CFTR is Associated with CFTR -Related Disorders. Genetic Testing and Molecular Biomarkers. 13(6). 765–768. 3 indexed citations
12.
Galán, José Jorge, Ana Segura, Francisco Jesús Morón, et al.. (2005). Multilocus analyses of estrogen-related genes reveal involvement of the ESR1 gene in male infertility and the polygenic nature of the pathology. Fertility and Sterility. 84(4). 910–918. 39 indexed citations
13.
Edem, Victory Fabian, et al.. (1995). Effect of testicular damage induced by cryptorchidism on insulin-like growth factor I receptors in rat Sertoli cells. Reproduction. 104(2). 267–275. 23 indexed citations
14.
Casals, Teresa, L. Bassas, María Dolores Burguete Ramos, et al.. (1995). Extensive analysis of 40 infertile patients with congenital absence of the vas deferens: in 50% of cases only one CFTR allele could be detected. Human Genetics. 95(2). 205–11. 85 indexed citations
15.
Rajmil, Luís, et al.. (1991). [Prolonged erections after diagnostic injection of papaverine chlorhydrate].. PubMed. 44(2). 179–82. 1 indexed citations
16.
Alemany, Jorge, M. Marqués Girbau, L. Bassas, & Flora de Pablo. (1990). Insulin receptors and insulin-like growth factor I receptors are functional during organogenesis of the lens. Molecular and Cellular Endocrinology. 74(2). 155–162. 20 indexed citations
17.
Bassas, L., M. Marqués Girbau, Maxine A. Lesniak, Jesse Roth, & Flora de Pablo. (1989). Development of Receptors for Insulin and Insulin-Like Growth Factor-I in Head and Brain of Chick Embryos: Autoradiographic Localization*. Endocrinology. 125(5). 2320–2327. 38 indexed citations
18.
Bassas, L., Flora de Pablo, Maxine A. Lesniak, & Jesse Roth. (1987). The Insulin Receptors of Chick Embryo Show Tissue- Specific Structural Differences which Parallel those of the Insulin-Like Growth Factor I Receptors*. Endocrinology. 121(4). 1468–1476. 38 indexed citations
19.
Roth, Jesse, Derek LeRoith, Maxine A. Lesniak, et al.. (1986). Chapter 5 Molecules of intercellular communication in vertebrates, invertebrates and microbes: do they share common origins?. Progress in brain research. 68. 71–79. 22 indexed citations
20.
Bassas, L., Flora de Pablo, Maxine A. Lesniak, & Jesse Roth. (1985). Ontogeny of Receptors for Insulin-Like Peptides in Chick Embryo Tissues: Early Dominance of Insulin-Like Growth Factor over Insulin Receptors in Brain*. Endocrinology. 117(6). 2321–2329. 99 indexed citations

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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