Clara Maluquer

648 citations
10 papers · 27 · h-index 3

Impact in

    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Multiple Myeloma Research and Treatments
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 4
    • Chronic Myeloid Leukemia Treatments 2
    • Acute Myeloid Leukemia Research 2
    • Chronic Lymphocytic Leukemia Research 4

Clara Maluquer

8 papers receiving 26 citations

Peers

Clara Maluquer
Comparison fields: 5 of 12
  • Hematology 21
  • Genetics 8
  • Public Health, Environmental and Occupational Health 14
  • Oncology 9
  • Pediatrics, Perinatology and Child Health 5
Replace Benedetta Cambò with:
Benedetta Cambò Italy
А. С. Лучинин Russia
Chloé Arfeuille France
Sumithra Vasu United States
Anupa Kudva United States
Nguyen Tan Binh Vietnam
I-Ming L. Chen United States
R Mataix Spain
Hacène Zerazhi France
Nahal Lalefar United States
Clara Maluquer relative to Benedetta Cambò Italy Benedetta Cambò's profile →
Citations per field
00.5×1.5×
Benedetta Cambò · 1×
Citations per year

Countries citing papers authored by Clara Maluquer

Since Specialization
Citations

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

Fields of papers citing papers by Clara Maluquer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202410
2 20246
3 20233
4 20172
5 20202
6 20212
7 20191
8 20231
9 20200
10 20210

About Clara Maluquer

Clara Maluquer is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 10 papers that have together received 27 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Peptidase Inhibition and Analysis (3 papers), Protein Degradation and Inhibitors (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Myeloid Leukemia Research (2 papers) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Hematology (21 citations), Genetics (8 citations), Public Health, Environmental and Occupational Health (14 citations), Oncology (9 citations) and Pediatrics, Perinatology and Child Health (5 citations). Clara Maluquer has collaborated with scholars based in Spain and United States. Frequent co-authors include Mireia Morgades, Lurdes Zamora, Jordi Esteve, Pau Montesinos, Anna Torrent, Joaquín Martínez‐López, Isabel Granada, José González‐Campos, Ramón García‐Sánz and Marc Sorigué. Their work appears in journals such as British Journal of Haematology, Cytometry Part B Clinical Cytometry, HemaSphere, European Journal Of Haematology and Blood Advances.

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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