Jaime Valentín

1.0k citations
25 papers · 710 · h-index 15

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3
    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 2

Jaime Valentín

25 papers receiving 694 citations

Peers

Jaime Valentín
Comparison fields: 5 of 71
  • Immunology 380
  • Oncology 359
  • Hematology 142
  • Cancer Research 64
  • Genetics 30
Replace Erina Sakamoto with:
Erina Sakamoto Japan
Jaswinder Kaur India
Agata Poniewierska-Baran Poland
Bertrand Escalière France
Vera Gallo Italy
Samuel T. Pellom United States
Emin Karaca Türkiye
M Kristensen Denmark
Jianhua Xiao China
Jaime Valentín relative to Erina Sakamoto Japan Erina Sakamoto's profile →
Citations per field
00.5×3.9×
Erina Sakamoto · 1×
Citations per year

Countries citing papers authored by Jaime Valentín

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Valentín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2 201564
3 201564
4 201457
5 201750
6 201849
7 201743
8 201334
9 201232
10 201830
11 201230
12 201627
13 201725
14 201923
15 201623
16 202013
17 202213
18 201812
19 201811
20 202110

About Jaime Valentín

Jaime Valentín is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Neurology, having authored 25 papers that have together received 710 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), Hematopoietic Stem Cell Transplantation (8 papers), CAR-T cell therapy research (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Acute Myeloid Leukemia Research (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (380 citations), Oncology (359 citations), Hematology (142 citations), Cancer Research (64 citations) and Genetics (30 citations). Jaime Valentín has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Antonio Pérez‐Martínez, Lucía Fernández, Miguel Ángel Díaz, Marta González‐Vicent, Wing Leung, Ana Patiño‐García, María Vela, Adela Escudero, José L. Vicário and Julián Sevilla. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Cancers, Cancer Letters, Cytotherapy and Clinical Cancer Research.

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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