Mayka Sánchez

2.5k citations
54 papers · 1.5k · h-index 20

Impact in

  • Hematology top 1%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment
  • Genetics top 1%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Iron Metabolism and Disorders 28
    • Erythropoietin and Anemia Treatment 4
    • Hemoglobinopathies and Related Disorders 20

Mayka Sánchez

52 papers receiving 1.5k citations

Peers

Mayka Sánchez
Comparison fields: 5 of 96
  • Hematology 893
  • Genetics 581
  • Nutrition and Dietetics 433
  • Rheumatology 145
  • Cancer Research 96
Replace John G. Quigley with:
John G. Quigley United States
Henriette S. Andersen Denmark
Jean‐Yves Le Gall France
Sioḃán Keel United States
Marina Kleanthous Cyprus
F. Brok‐Simoni Israel
Raffaele Renella Switzerland
Tohru Ikuta United States
Cornelis L. Harteveld Netherlands
Jenny Hansson Sweden
Mayka Sánchez relative to John G. Quigley United States John G. Quigley's profile →
Citations per field
00.5×3.3×
John G. Quigley · 1×
Citations per year

Countries citing papers authored by Mayka Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Mayka Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayka Sánchez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mayka Sánchez Line = papers co-authored together Mayka Sánchez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007250
2 2013122
3 2011107
4 2004101
5 200695
6 199875
7 201069
8 200653
9 200945
10 199843
11 201439
12 201138
13 201335
14 200332
15 202431
16 201727
17 201127
18 201224
19 200621
20 199821

About Mayka Sánchez

Mayka Sánchez is a scholar working on Hematology, Genetics, Molecular Biology, Nutrition and Dietetics and Physiology, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (28 papers), Hemoglobinopathies and Related Disorders (20 papers), Trace Elements in Health (13 papers), Erythrocyte Function and Pathophysiology (9 papers), RNA modifications and cancer (8 papers), Porphyrin Metabolism and Disorders (4 papers), Blood properties and coagulation (4 papers) and Erythropoietin and Anemia Treatment (4 papers). The work is most often cited by research in Hematology (893 citations), Genetics (581 citations), Nutrition and Dietetics (433 citations), Rheumatology (145 citations) and Cancer Research (96 citations). Mayka Sánchez has collaborated with scholars based in Spain, Germany and France. Frequent co-authors include Martina U. Muckenthaler, Matthias W. Hentze, Bruno Galy, Rafael Oliva, Miquel Bruguera, Joan Rodés, Caroline Kannengiesser, Francisca Ballesta, Achille Iolascon and Ildefonso Cases. Their work appears in journals such as Blood, HemaSphere, International Journal of Molecular Sciences, Haematologica and Scientific Reports.

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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