Mariam Ibáñez

797 citations
28 papers · 339 indexed · h-index 9

Impact in

Papers in

    • Acute Myeloid Leukemia Research 15
    • Chronic Myeloid Leukemia Treatments 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 5

Mariam Ibáñez

27 papers receiving 334 citations

Peers

Mariam Ibáñez
Comparison fields: 5 of 49
  • Hematology 182
  • Orthopedics and Sports Medicine 34
  • Molecular Biology 245
  • Cancer Research 52
  • Genetics 32
Replace Xuejie Jiang with:
Xuejie Jiang China
Giulia Falconi Italy
Mara Molkentin Germany
Tania J. Curcio United States
Michael Grövdal Sweden
F. del Valle Germany
Vicky Sandhu United States
S. Fenu Italy
Paul Cahalin United Kingdom
P. Flynn United States
Mariam Ibáñez relative to Xuejie Jiang China Xuejie Jiang's profile →
Citations per field
00.5×3.1×
Xuejie Jiang · 1×
Citations per year

Countries citing papers authored by Mariam Ibáñez

Since Specialization
Citations

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

Fields of papers citing papers by Mariam Ibáñez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mariam Ibáñez, 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 Mariam Ibáñez Line = papers co-authored together Mariam Ibáñez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20222
2 20220
3 20223
4 20223
5 20215
6 20191
7 20193
8 20185
9 201621
10 20159
11 20144
12 20137
13 20139
14 201336
15 20126
16 201214
17 201125
18 20118
19 20101
20 20107

About Mariam Ibáñez

Mariam Ibáñez is a scholar working on Hematology, Genetics, Orthopedics and Sports Medicine, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 28 papers that have together received 339 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Acute Lymphoblastic Leukemia research (7 papers), Retinoids in leukemia and cellular processes (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Protein Degradation and Inhibitors (4 papers), Tendon Structure and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Hematology (182 citations), Orthopedics and Sports Medicine (34 citations), Molecular Biology (245 citations), Cancer Research (52 citations) and Genetics (32 citations). Mariam Ibáñez has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Miguel Á. Sanz, José Cervera, Eva Barragán, Alessandro Liquori, Claudia Sargas, Esperanza Such, Irene Luna, Óscar Fuster, Inés Gómez‐Seguí and Maria López‐Pavía. Their work appears in journals such as Cancers, Leukemia Research, PLoS ONE, Annals of Hematology and Blood.

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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