Mar Mallo
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 22
- Acute Myeloid Leukemia Research 20
- Chronic Myeloid Leukemia Treatments 3
- Genetics 12
- Chronic Lymphocytic Leukemia Research 8
- Genomic variations and chromosomal abnormalities 6
- Co-authors
- Françesc Solé (26 shared papers)Vera Ademà (7 shared papers)Rafael Bejar (2 shared papers)Rebekka K. Schneider (1 shared paper)Benjamin L. Ebert (1 shared paper)Allegra M. Lord (1 shared paper)Rafael Kramann (1 shared paper)Marie McConkey (1 shared paper)
- Journals
- American Journal of Hematology (5 papers)Blood (4 papers)Leukemia Research (4 papers)Cancers (4 papers)Genes Chromosomes and Cancer (2 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Mar Mallo
28 papers receiving 550 citations
Peers
Comparison fields: 5 of 59
- Hematology 334
- Genetics 126
- Cancer Research 106
- Pathology and Forensic Medicine 61
- Molecular Biology 237
Countries citing papers authored by Mar Mallo
This map shows the geographic impact of Mar Mallo'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 Mar Mallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mar Mallo more than expected).
Fields of papers citing papers by Mar Mallo
This network shows the impact of papers produced by Mar Mallo. 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 Mar Mallo. The network helps show where Mar Mallo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mar Mallo, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 146 | |
| 2 | 2017 | 97 | |
| 3 | 2022 | 53 | |
| 4 | 2013 | 50 | |
| 5 | 2013 | 42 | |
| 6 | 2024 | 25 | |
| 7 | 2017 | 18 | |
| 8 | 2010 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2015 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2025 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2011 | 8 | |
| 16 | 2007 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2013 | 5 |
About Mar Mallo
Mar Mallo is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Molecular Biology and Cancer Research, having authored 30 papers that have together received 566 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Chronic Lymphocytic Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Cancer Genomics and Diagnostics (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Protein Degradation and Inhibitors (4 papers), RNA Research and Splicing (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (334 citations), Genetics (126 citations), Cancer Research (106 citations), Pathology and Forensic Medicine (61 citations) and Molecular Biology (237 citations). Mar Mallo has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Françesc Solé, Vera Ademà, Rafael Bejar, Rebekka K. Schneider, Benjamin L. Ebert, Allegra M. Lord, Rafael Kramann, Marie McConkey, Lisa P. Chu and Ann Mullally. Their work appears in journals such as American Journal of Hematology, Blood, Leukemia Research, Cancers and Genes Chromosomes and Cancer.
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.