María G. Ledesma-Colunga

35 total papers · 563 total citations
25 papers, 422 citations indexed

About

María G. Ledesma-Colunga is a scholar working on Hematology, Rheumatology and Oncology. According to data from OpenAlex, María G. Ledesma-Colunga has authored 25 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 8 papers in Rheumatology and 7 papers in Oncology. Recurrent topics in María G. Ledesma-Colunga's work include Iron Metabolism and Disorders (7 papers), Trace Elements in Health (7 papers) and Systemic Lupus Erythematosus Research (5 papers). María G. Ledesma-Colunga is often cited by papers focused on Iron Metabolism and Disorders (7 papers), Trace Elements in Health (7 papers) and Systemic Lupus Erythematosus Research (5 papers). María G. Ledesma-Colunga collaborates with scholars based in Mexico, Germany and United States. María G. Ledesma-Colunga's co-authors include Carmen Clapp, Gonzalo Martı́nez de la Escalera, Norma Adán, Martina Rauner, Lorenz C. Hofbauer, Fernándo López-Barrera, Bibiana Moreno-Carranza, Jakob Triebel, Isabel García Méndez and Ulrike Baschant and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and Endocrinology.

In The Last Decade

María G. Ledesma-Colunga

24 papers receiving 418 citations

Author Peers

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

Author Last Decade Papers Cites
María G. Ledesma-Colunga 159 96 90 55 53 25 422
Anna Evangelista 139 0.9× 48 0.5× 52 0.6× 74 1.3× 22 0.4× 16 492
Sibel Oğuzkan Balcı 114 0.7× 52 0.5× 74 0.8× 22 0.4× 28 0.5× 47 402
Bibiana Moreno-Carranza 150 0.9× 56 0.6× 58 0.6× 59 1.1× 41 0.8× 18 454
Tomiaki Asai 135 0.8× 158 1.6× 41 0.5× 38 0.7× 104 2.0× 20 483
Guojun Yang 106 0.7× 53 0.6× 37 0.4× 18 0.3× 36 0.7× 26 442
K Shirato 92 0.6× 29 0.3× 69 0.8× 23 0.4× 35 0.7× 28 413
Brandon M. Fox 95 0.6× 43 0.4× 56 0.6× 28 0.5× 45 0.8× 32 453
Helen Paraskevakou 85 0.5× 66 0.7× 25 0.3× 55 1.0× 54 1.0× 28 466
J Calvin 130 0.8× 66 0.7× 51 0.6× 42 0.8× 15 0.3× 23 427
Elda Pacheco‐Pantoja 111 0.7× 63 0.7× 27 0.3× 119 2.2× 51 1.0× 27 386

Countries citing papers authored by María G. Ledesma-Colunga

Since Specialization
Citations

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

Fields of papers citing papers by María G. Ledesma-Colunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María G. Ledesma-Colunga. 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 María G. Ledesma-Colunga. The network helps show where María G. Ledesma-Colunga may publish in the future.

Co-authorship network of co-authors of María G. Ledesma-Colunga

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