José A. Martínez-Climent
- Molecular Biology top 5%
- Oncology top 2%
- Pathology and Forensic Medicine top 1%
- Hematology top 1%
- Genetics top 1%
- Co-authors
- Felipe PrósperJanet D. RowleyJ Garcı́a-CondeVicente FresquetStefan K. BohlanderMartin J.S. DyerJia-Xi MaoMarı́a José Calasanz
- Topics
- Lymphoma Diagnosis and Treatment (34 papers)Chronic Lymphocytic Leukemia Research (24 papers)Acute Myeloid Leukemia Research (19 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
José A. Martínez-Climent
132 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.9k
- Oncology 1.3k
- Pathology and Forensic Medicine 1.0k
- Hematology 952
- Genetics 865
Countries citing papers authored by José A. Martínez-Climent
This map shows the geographic impact of José A. Martínez-Climent'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 José A. Martínez-Climent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José A. Martínez-Climent more than expected).
Fields of papers citing papers by José A. Martínez-Climent
This network shows the impact of papers produced by José A. Martínez-Climent. 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 José A. Martínez-Climent. The network helps show where José A. Martínez-Climent may publish in the future.
Co-authorship network of co-authors of José A. Martínez-Climent
This figure shows the co-authorship network connecting the top 25 collaborators of José A. Martínez-Climent. A scholar is included among the top collaborators of José A. Martínez-Climent 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 José A. Martínez-Climent. José A. Martínez-Climent 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 | 2 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 21 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 69 | |
| 11 | 67 | |
| 12 | 3 | |
| 13 | 47 | |
| 14 | 131 | |
| 15 | 24 | |
| 16 | 8 | |
| 17 | Genomic loss of 18p predicts an adverse clinical outcome in patients with high-risk breast cancer. | 32 |
| 18 | 67 | |
| 19 | 20 | |
| 20 | Leucemia megacarioblástica aguda en la infancia | 1 |
About José A. Martínez-Climent
José A. Martínez-Climent is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 135 papers that have together received 4.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (34 papers), Chronic Lymphocytic Leukemia Research (24 papers) and Acute Myeloid Leukemia Research (19 papers). The work is most often cited by research in Hematology (952 citations), Genetics (865 citations) and Pathology and Forensic Medicine (1.0k citations). José A. Martínez-Climent has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Felipe Prósper, Janet D. Rowley, J Garcı́a-Conde, Vicente Fresquet, Stefan K. Bohlander, Martin J.S. Dyer, Jia-Xi Mao, Marı́a José Calasanz, Eloy F. Robles and María J. García‐Barchino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology 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.