Ángel Ramírez Páyer

2.4k citations
33 papers · 633 · h-index 13

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments

Papers in

Ángel Ramírez Páyer

32 papers receiving 624 citations

Peers

Ángel Ramírez Páyer
Comparison fields: 5 of 52
  • Genetics 162
  • Hematology 163
  • Immunology 283
  • Oncology 251
  • Pathology and Forensic Medicine 105
Replace Emanuele Cencini with:
Emanuele Cencini Italy
M. S. De Propris Italy
Michiaki Koike Japan
Olga Gielen Belgium
Finlay MacDougall United Kingdom
H J Gruss Germany
Junjiro Tsuchiyama Japan
Gerjo A. Velders Netherlands
Sumithira Vasu United States
Swapna Thota United States
Ángel Ramírez Páyer relative to Emanuele Cencini Italy Emanuele Cencini's profile →
Citations per field
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Emanuele Cencini · 1×
Citations per year

Countries citing papers authored by Ángel Ramírez Páyer

Since Specialization
Citations

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

Fields of papers citing papers by Ángel Ramírez Páyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ángel Ramírez Páyer. 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 Ángel Ramírez Páyer. The network helps show where Ángel Ramírez Páyer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010124
2 202087
3 202178
4 201468
5 201446
6 201834
7 202132
8 201524
9 201523
10 201320
11 201713
12 202312
13 201912
14 202211
15 199810
16 20157
17 20156
18 20195
19 20173
20 20173

About Ángel Ramírez Páyer

Ángel Ramírez Páyer is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Oncology and Hematology, having authored 33 papers that have together received 633 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (13 papers), Immune Cell Function and Interaction (7 papers), Multiple Myeloma Research and Treatments (6 papers), Cancer Treatment and Pharmacology (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Protein Degradation and Inhibitors (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Genetics (162 citations), Hematology (163 citations), Immunology (283 citations), Oncology (251 citations) and Pathology and Forensic Medicine (105 citations). Ángel Ramírez Páyer has collaborated with scholars based in Spain, Switzerland and Belgium. Frequent co-authors include Segundo González, Alejandro López‐Soto, Ana Pilar González, Seila Lorenzo‐Herrero, Christian Sordo‐Bahamonde, Esther González-García, Leticía Huergo-Zapico, Andrea Acebes‐Huerta, Azahara Fernández-Guizán and Cyrus V. Hedvat. Their work appears in journals such as Blood, BioMed Research International, Cancers, Frontiers in Immunology and Haematologica.

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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