Iván Dlouhy
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 23
- Oncology 14
- Viral-associated cancers and disorders 8
- CAR-T cell therapy research 5
- Co-authors
- Elı́as Campo (13 shared papers)Antonio Martı́nez (10 shared papers)Armando López‐Guillermo (14 shared papers)Eva Giné (10 shared papers)Laura Magnano (9 shared papers)Jordina Rovira (6 shared papers)Alejandra Martínez‐Trillos (6 shared papers)Julio Delgado (9 shared papers)
- Journals
- British Journal of Haematology (4 papers)Blood (4 papers)Leukemia Research (3 papers)Annals of Hematology (2 papers)Hematological Oncology (2 papers)
- Partner nations
- SpainItalySouth Korea
In The Last Decade
Iván Dlouhy
24 papers receiving 548 citations
Peers
Comparison fields: 5 of 46
- Pathology and Forensic Medicine 437
- Genetics 130
- Oncology 311
- Dermatology 97
- Immunology 150
Countries citing papers authored by Iván Dlouhy
This map shows the geographic impact of Iván Dlouhy'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 Iván Dlouhy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Dlouhy more than expected).
Fields of papers citing papers by Iván Dlouhy
This network shows the impact of papers produced by Iván Dlouhy. 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 Iván Dlouhy. The network helps show where Iván Dlouhy may publish in the future.
Co-authors
The 25 scholars most cited alongside Iván Dlouhy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2014 | 71 | |
| 3 | 2021 | 60 | |
| 4 | 2018 | 58 | |
| 5 | 2016 | 50 | |
| 6 | 2018 | 44 | |
| 7 | 2019 | 38 | |
| 8 | 2017 | 38 | |
| 9 | 2017 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2016 | 3 |
About Iván Dlouhy
Iván Dlouhy is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Immunology and Dermatology, having authored 26 papers that have together received 557 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (23 papers), Chronic Lymphocytic Leukemia Research (12 papers), Viral-associated cancers and disorders (8 papers), Cutaneous lymphoproliferative disorders research (7 papers), T-cell and Retrovirus Studies (6 papers), CAR-T cell therapy research (5 papers), Protein Degradation and Inhibitors (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (437 citations), Genetics (130 citations), Oncology (311 citations), Dermatology (97 citations) and Immunology (150 citations). Iván Dlouhy has collaborated with scholars based in Spain, Italy and South Korea. Frequent co-authors include Elı́as Campo, Antonio Martı́nez, Armando López‐Guillermo, Eva Giné, Laura Magnano, Jordina Rovira, Alejandra Martínez‐Trillos, Julio Delgado, Massimo Federico and María Elena Cabrera. Their work appears in journals such as British Journal of Haematology, Blood, Leukemia Research, Annals of Hematology and Hematological Oncology.
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.