Carlos Besses
- Genetics top 0.5%
- Hematology top 1%
- Molecular Biology top 10%
- Rheumatology top 2%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Alberto Álvarez‐LarránBeatríz BellosilloFrancisco CervantesJean‐Jacques KiladjianFrançesc SoléLourdes FlorensaJ Sans-SabrafénJuan Carlos Hernández‐Boluda
- Topics
- Myeloproliferative Neoplasms: Diagnosis and Treatment (49 papers)Kruppel-like factors research (27 papers)Acute Myeloid Leukemia Research (17 papers)
- Cited by
- GeneticsHematologyRheumatology
- Partner nations
- SpainUnited KingdomGermany
In The Last Decade
Carlos Besses
74 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 68
- Genetics 1.4k
- Hematology 919
- Molecular Biology 845
- Rheumatology 525
- Pathology and Forensic Medicine 227
Countries citing papers authored by Carlos Besses
This map shows the geographic impact of Carlos Besses'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 Carlos Besses with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Besses more than expected).
Fields of papers citing papers by Carlos Besses
This network shows the impact of papers produced by Carlos Besses. 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 Carlos Besses. The network helps show where Carlos Besses may publish in the future.
Co-authorship network of co-authors of Carlos Besses
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Besses. A scholar is included among the top collaborators of Carlos Besses based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlos Besses. Carlos Besses is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Rate Of Malignant Transformation In High Risk Et During 5 Years Of Follow-Up Of Cytoreductive Therapy | 1 |
| 3 | RISK FACTORS FOR THROMBOHEMORRHAGIC AND TRANSFORMATION EVENTS IN 3649 HIGH-RISK PATIENTS WITH ESSENTIAL THROMBOCYTHEMIA : RESULTS FROM THE PROSPECTIVE LONG-TERM OBSERVATIONAL EXELS STUDY | 1 |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 31 | |
| 7 | 17 | |
| 8 | 38 | |
| 9 | 164 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | 6 | |
| 14 | 80 | |
| 15 | 36 | |
| 16 | 143 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 9 |
About Carlos Besses
Carlos Besses is a scholar working on Genetics, Hematology and Rheumatology, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (49 papers), Kruppel-like factors research (27 papers) and Acute Myeloid Leukemia Research (17 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (919 citations) and Rheumatology (525 citations). Carlos Besses has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Alberto Álvarez‐Larrán, Beatríz Bellosillo, Francisco Cervantes, Jean‐Jacques Kiladjian, Françesc Solé, Lourdes Florensa, J Sans-Sabrafén, Juan Carlos Hernández‐Boluda, Martin Grießhammer and S Woessner. Their work appears in journals such as Journal of Clinical Oncology, Blood and The American Journal of Surgical Pathology.
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.