Sara Pinto

53 total papers · 490 total citations
32 papers, 305 citations indexed

About

Sara Pinto is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sara Pinto has authored 32 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Obstetrics and Gynecology, 10 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sara Pinto's work include Gestational Diabetes Research and Management (11 papers), Pregnancy and preeclampsia studies (10 papers) and Thyroid Disorders and Treatments (5 papers). Sara Pinto is often cited by papers focused on Gestational Diabetes Research and Management (11 papers), Pregnancy and preeclampsia studies (10 papers) and Thyroid Disorders and Treatments (5 papers). Sara Pinto collaborates with scholars based in France, Italy and Portugal. Sara Pinto's co-authors include Mario Rotondi, Emmanuel Cosson, Laura Croce, Sopio Tatulashvili, H. Bihan, Luca Chiovato, Lionel Carbillon, Éric Vicaut, Paola Conigliaro and Paola Triggianese and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Sara Pinto

28 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Sara Pinto	99	88	45	44	39	32	305
Muammer Karadeniz	100 1.0×	84 1.0×	33 0.7×	57 1.3×	37 0.9×	29	355
Paola Galoppi	84 0.8×	69 0.8×	30 0.7×	46 1.0×	44 1.1×	42	342
Filiz Çayan	89 0.9×	63 0.7×	68 1.5×	42 1.0×	34 0.9×	30	363
Rizk Elbaz	51 0.5×	46 0.5×	65 1.4×	48 1.1×	36 0.9×	31	318
Sevim Dinçer Cengiz	55 0.6×	49 0.6×	54 1.2×	61 1.4×	24 0.6×	22	337
Neera Agarwal	88 0.9×	87 1.0×	24 0.5×	49 1.1×	36 0.9×	22	361
Ahmed Ali	44 0.4×	73 0.8×	32 0.7×	88 2.0×	43 1.1×	31	265
So Yeon Kang	74 0.7×	72 0.8×	51 1.1×	55 1.3×	7 0.2×	30	351
İbrahim Gülhan	46 0.5×	60 0.7×	20 0.4×	31 0.7×	43 1.1×	26	346
C. Loghis	37 0.4×	106 1.2×	43 1.0×	37 0.8×	84 2.2×	35	339

Countries citing papers authored by Sara Pinto

Since Specialization

Citations

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

Fields of papers citing papers by Sara Pinto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Pinto

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