María Perera

455 citations
14 papers · 167 · h-index 7

Impact in

  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

María Perera

13 papers receiving 166 citations

Peers

María Perera
Comparison fields: 5 of 37
  • Hematology 111
  • Genetics 50
  • Nephrology 17
  • Pathology and Forensic Medicine 23
  • Molecular Biology 48
Replace Kamila Janusz with:
Kamila Janusz Spain
Mónica Del Rey Spain
José Antonio Queizán Spain
Hayley A. Hanby United States
Yafei Yu China
Oscar Lahoud United States
Elisa Civaschi Italy
Tabita Maia Portugal
Hélène Antoine‐Poirel Belgium
Д. В. Федорова Russia
María Perera relative to Kamila Janusz Spain Kamila Janusz's profile →
Citations per field
00.5×4.6×
Kamila Janusz · 1×
Citations per year

Countries citing papers authored by María Perera

Since Specialization
Citations

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

Fields of papers citing papers by María Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201648
2 201428
3 201624
4 200220
5 201718
6 202313
7 20226
8 20153
9 20162
10 20162
11 20241
12 20191
13 20191
14 20240

About María Perera

María Perera is a scholar working on Pulmonary and Respiratory Medicine, Hematology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 14 papers that have together received 167 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (4 papers), Blood groups and transfusion (3 papers), Prostate Cancer Treatment and Research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Cancer, Lipids, and Metabolism (2 papers), Blood properties and coagulation (2 papers), Algorithms and Data Compression (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Hematology (111 citations), Genetics (50 citations), Nephrology (17 citations), Pathology and Forensic Medicine (23 citations) and Molecular Biology (48 citations). María Perera has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Teresa Garrido, María Teresa Gómez‐Casares, Silvia de la Iglesia, Beatríz Bellosillo, L. Torres, Miguel‐Teodoro Hernández, Fernando Fernández‐Fuertes, José María Raya, Cristina Bilbao and José Carlos Rodríguez-Pérez. Their work appears in journals such as Blood, European Journal Of Haematology, Communications Biology, IEEE Access and PLoS ONE.

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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