Valentín García‐Gutiérrez
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 73
- Acute Myeloid Leukemia Research 9
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 56
- Myeloproliferative Neoplasms: Diagnosis and Treatment 18
- Rheumatology top 1%
- Eosinophilic Disorders and Syndromes 25
- Oncology top 10%
- HER2/EGFR in Cancer Research 11
- Pathology and Forensic Medicine top 10%
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- Acute Lymphoblastic Leukemia research 12
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- COVID-19 Clinical Research Studies 8
- Co-authors
- Andreas HochhausJuan Carlos Hernández‐BoludaSusanne SaußeleDragana MilojkovićJörge E. CortesMichael J. MauroDelphine RéaCarlo Gambacorti‐Passerini
- Cited by
- HematologyGeneticsRheumatology
- Journals
- Journal of Clinical Oncology (7 papers)SHILAP Revista de lepidopterología (2 papers)Blood (23 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Valentín García‐Gutiérrez
100 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Hematology 1.7k
- Genetics 1.4k
- Rheumatology 768
- Oncology 390
- Pathology and Forensic Medicine 119
Countries citing papers authored by Valentín García‐Gutiérrez
This map shows the geographic impact of Valentín García‐Gutiérrez'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 Valentín García‐Gutiérrez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentín García‐Gutiérrez more than expected).
Fields of papers citing papers by Valentín García‐Gutiérrez
This network shows the impact of papers produced by Valentín García‐Gutiérrez. 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 Valentín García‐Gutiérrez. The network helps show where Valentín García‐Gutiérrez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Valentín García‐Gutiérrez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 79 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 13 | |
| 16 | 2021 | 47 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 5 | |
| 20 | 2018 | 14 |
About Valentín García‐Gutiérrez
Valentín García‐Gutiérrez is a scholar working on Hematology, Genetics and Rheumatology, having authored 104 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (73 papers), Chronic Lymphocytic Leukemia Research (56 papers), Eosinophilic Disorders and Syndromes (25 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers), Acute Lymphoblastic Leukemia research (12 papers), HER2/EGFR in Cancer Research (11 papers), Acute Myeloid Leukemia Research (9 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (1.4k citations) and Rheumatology (768 citations). Valentín García‐Gutiérrez has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Andreas Hochhaus, Juan Carlos Hernández‐Boluda, Susanne Saußele, Dragana Milojković, Jörge E. Cortes, Michael J. Mauro, Delphine Réa, Carlo Gambacorti‐Passerini, Massimo Breccia and Tim H. Brümmendorf. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.