Borja Sáez
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
-
- RNA Research and Splicing 5
- RNA Interference and Gene Delivery 4
- Epigenetics and DNA Methylation 4
- Hematology 21
- Hematopoietic Stem Cell Transplantation 8
- Acute Myeloid Leukemia Research 6
- Multiple Myeloma Research and Treatments 5
- Co-authors
- David T. Scadden (19 shared papers)Timothy A. Graubert (4 shared papers)Ana Pardo–Saganta (8 shared papers)Rushdia Z. Yusuf (7 shared papers)David B. Sykes (6 shared papers)Jayaraj Rajagopal (2 shared papers)Brandon M. Law (2 shared papers)Purushothama Rao Tata (2 shared papers)
- Journals
- Blood (7 papers)Cell (3 papers)Cell stem cell (2 papers)EMBO Molecular Medicine (2 papers)Nature (2 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Borja Sáez
42 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 109
- Hematology 764
- Genetics 417
- Geriatrics and Gerontology 116
- Aging 54
- Cancer Research 391
Countries citing papers authored by Borja Sáez
This map shows the geographic impact of Borja Sáez'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 Borja Sáez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borja Sáez more than expected).
Fields of papers citing papers by Borja Sáez
This network shows the impact of papers produced by Borja Sáez. 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 Borja Sáez. The network helps show where Borja Sáez may publish in the future.
Co-authors
The 25 scholars most cited alongside Borja Sáez, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 304 | |
| 2 | 2011 | 247 | |
| 3 | 2011 | 223 | |
| 4 | 2013 | 216 | |
| 5 | 2017 | 211 | |
| 6 | 2008 | 180 | |
| 7 | 2015 | 162 | |
| 8 | 2016 | 159 | |
| 9 | 2016 | 149 | |
| 10 | 2011 | 148 | |
| 11 | 2019 | 140 | |
| 12 | 2015 | 137 | |
| 13 | 2015 | 128 | |
| 14 | 2016 | 94 | |
| 15 | 2017 | 85 | |
| 16 | 2016 | 62 | |
| 17 | Identification of overexpressed genes in frequently gained/amplified chromosome regions in multiple myeloma. | 2006 | 56 |
| 18 | 2005 | 35 | |
| 19 | 2021 | 31 | |
| 20 | 2007 | 30 |
About Borja Sáez
Borja Sáez is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Genetics, having authored 42 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (6 papers), RNA Research and Splicing (5 papers), Multiple Myeloma Research and Treatments (5 papers), RNA Interference and Gene Delivery (4 papers), Epigenetics and DNA Methylation (4 papers), Neonatal Respiratory Health Research (4 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Hematology (764 citations), Genetics (417 citations), Geriatrics and Gerontology (116 citations), Aging (54 citations) and Cancer Research (391 citations). Borja Sáez has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include David T. Scadden, Timothy A. Graubert, Ana Pardo–Saganta, Rushdia Z. Yusuf, David B. Sykes, Jayaraj Rajagopal, Brandon M. Law, Purushothama Rao Tata, Matthew J. Walter and Tribhuwan Yadav. Their work appears in journals such as Blood, Cell, Cell stem cell, EMBO Molecular Medicine and Nature.
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.