Ana Rasillo
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 14
- Multiple Myeloma Research and Treatments 7
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 4
- Genetics 9
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Jesús F. San Miguel (12 shared papers)Alberto Orfao (13 shared papers)Ramón García‐Sánz (7 shared papers)Marcos González (7 shared papers)María Dolores Tabernero (10 shared papers)Antonio Gonzalez Lopez (7 shared papers)José María Sayagués (11 shared papers)Norma Carmen Gutierrez (6 shared papers)
In The Last Decade
Ana Rasillo
22 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 53
- Hematology 1.0k
- Genetics 572
- Pathology and Forensic Medicine 291
- Immunology 235
- Oncology 277
Countries citing papers authored by Ana Rasillo
This map shows the geographic impact of Ana Rasillo'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 Ana Rasillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Rasillo more than expected).
Fields of papers citing papers by Ana Rasillo
This network shows the impact of papers produced by Ana Rasillo. 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 Ana Rasillo. The network helps show where Ana Rasillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ana Rasillo, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 232 | |
| 2 | 2009 | 168 | |
| 3 | 2010 | 148 | |
| 4 | 2011 | 111 | |
| 5 | The flow cytometric pattern of CD34, CD15 and CD13 expression in acute myeloblastic leukemia is highly characteristic of the presence of PML-RARalpha gene rearrangements. | 1999 | 105 |
| 6 | 2008 | 96 | |
| 7 | 2005 | 94 | |
| 8 | 2001 | 86 | |
| 9 | 2004 | 74 | |
| 10 | 2010 | 74 | |
| 11 | 2011 | 55 | |
| 12 | 2003 | 53 | |
| 13 | 2007 | 50 | |
| 14 | 2006 | 43 | |
| 15 | 2005 | 36 | |
| 16 | 2004 | 35 | |
| 17 | 2008 | 35 | |
| 18 | 2002 | 32 | |
| 19 | 2012 | 31 | |
| 20 | 1999 | 29 |
About Ana Rasillo
Ana Rasillo is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Rheumatology and Neurology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Multiple Myeloma Research and Treatments (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Meningioma and schwannoma management (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (572 citations), Pathology and Forensic Medicine (291 citations), Immunology (235 citations) and Oncology (277 citations). Ana Rasillo has collaborated with scholars based in Spain, Germany and Belgium. Frequent co-authors include Jesús F. San Miguel, Alberto Orfao, Ramón García‐Sánz, Marcos González, María Dolores Tabernero, Antonio Gonzalez Lopez, José María Sayagués, Norma Carmen Gutierrez, Gema Mateo and Bruno Paiva. Their work appears in journals such as Blood, Leukemia, Cytometry Part B Clinical Cytometry, Clinical Cancer Research and Cytometry.
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.