Marta Ledesma

28 total papers · 975 total citations
14 papers, 710 citations indexed

About

Marta Ledesma is a scholar working on Rheumatology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Marta Ledesma has authored 14 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Rheumatology, 3 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Marta Ledesma's work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Marta Ledesma is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Marta Ledesma collaborates with scholars based in Spain, United States and Argentina. Marta Ledesma's co-authors include Martín Laclaustra, Sabrina Bossio, Nicolás Gonzalo Núñez, Jimena Tosello, Andrés del Castillo, María C. Ramello, Fernando P. Canale, Eva V. Acosta Rodríguez, Eliane Piaggio and Adriana Gruppi and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Marta Ledesma

14 papers receiving 699 citations

Author Peers

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

Author						Papers	Cites
Marta Ledesma	234	204	175	113	70	14	710
M. Zwirner	95 0.4×	109 0.5×	134 0.8×	52 0.5×	66 0.9×	29	752
Xianfeng Wang	82 0.4×	70 0.3×	215 1.2×	137 1.2×	44 0.6×	26	880
Antoine Caillon	209 0.9×	55 0.3×	152 0.9×	129 1.1×	9 0.1×	24	858
Gai Liang	47 0.2×	69 0.3×	164 0.9×	104 0.9×	25 0.4×	25	729
Tatiana Victoni	217 0.9×	51 0.3×	230 1.3×	81 0.7×	21 0.3×	22	708
Huang-Ping Yu	179 0.8×	40 0.2×	229 1.3×	87 0.8×	19 0.3×	14	717
Edward A. Ganio	259 1.1×	71 0.3×	315 1.8×	125 1.1×	12 0.2×	19	868
Alan MacIntyre	49 0.2×	65 0.3×	219 1.3×	305 2.7×	30 0.4×	11	724
Jean M. Rawling	29 0.1×	154 0.8×	171 1.0×	85 0.8×	26 0.4×	26	647
Carlos Henrique de Lemos Muller	192 0.8×	76 0.4×	409 2.3×	149 1.3×	18 0.3×	21	885

Countries citing papers authored by Marta Ledesma

Since Specialization

Citations

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

Fields of papers citing papers by Marta Ledesma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Ledesma

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