Pablo Menéndez
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
Papers in
-
- Pluripotent Stem Cells Research 59
- CRISPR and Genetic Engineering 44
- Epigenetics and DNA Methylation 17
- Hematology 48
- Acute Myeloid Leukemia Research 29
- Hematopoietic Stem Cell Transplantation 21
- Co-authors
- Mickie Bhatia (14 shared papers)Clara Bueno (79 shared papers)René Rodrı́guez (18 shared papers)Verónica Ramos–Mejía (25 shared papers)Anne Rouleau (3 shared papers)Lisheng Wang (6 shared papers)Rosa Montes (22 shared papers)Chantal Cerdan (6 shared papers)
- Journals
- Blood (11 papers)Leukemia (10 papers)Stem Cells (9 papers)Experimental Hematology (8 papers)Stem Cells and Development (6 papers)
- Partner nations
- SpainCanadaUnited Kingdom
In The Last Decade
Pablo Menéndez
220 papers receiving 8.0k citations
Pablo Menéndez's Hit Papers
Peers
Comparison fields: 5 of 154
- Genetics 1.2k
- Hematology 1.2k
- Molecular Biology 5.1k
- Cancer Research 922
- Cell Biology 860
Countries citing papers authored by Pablo Menéndez
This map shows the geographic impact of Pablo Menéndez'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 Pablo Menéndez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Menéndez more than expected).
Fields of papers citing papers by Pablo Menéndez
This network shows the impact of papers produced by Pablo Menéndez. 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 Pablo Menéndez. The network helps show where Pablo Menéndez may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Menéndez, 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 233 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 469 | |
| 2 | 2003 | 468 | |
| 3 | 2004 | 301 | |
| 4 | 2005 | 222 | |
| 5 | 2008 | 167 | |
| 6 | 2015 | 159 | |
| 7 | 2006 | 139 | |
| 8 | 2009 | 137 | |
| 9 | 2004 | 134 | |
| 10 | 2010 | 131 | |
| 11 | 2005 | 131 | |
| 12 | 2008 | 118 | |
| 13 | 2010 | 117 | |
| 14 | 2011 | 114 | |
| 15 | 2016 | 109 | |
| 16 | 2008 | 106 | |
| 17 | 2002 | 98 | |
| 18 | 2009 | 97 | |
| 19 | 2009 | 89 | |
| 20 | 2019 | 89 |
About Pablo Menéndez
Pablo Menéndez is a scholar working on Molecular Biology, Hematology, Oncology, Surgery and Genetics, having authored 233 papers that have together received 8.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (59 papers), CRISPR and Genetic Engineering (44 papers), Acute Myeloid Leukemia Research (29 papers), Acute Lymphoblastic Leukemia research (25 papers), Mesenchymal stem cell research (24 papers), Zebrafish Biomedical Research Applications (23 papers), Hematopoietic Stem Cell Transplantation (21 papers) and Epigenetics and DNA Methylation (17 papers). The work is most often cited by research in Genetics (1.2k citations), Hematology (1.2k citations), Molecular Biology (5.1k citations), Cancer Research (922 citations) and Cell Biology (860 citations). Pablo Menéndez has collaborated with scholars based in Spain, Canada and United Kingdom. Frequent co-authors include Mickie Bhatia, Clara Bueno, René Rodrı́guez, Verónica Ramos–Mejía, Anne Rouleau, Lisheng Wang, Rosa Montes, Chantal Cerdan, Javier Garcı́a-Castro and Kristin Chadwick. Their work appears in journals such as Blood, Leukemia, Stem Cells, Experimental Hematology and Stem Cells and Development.
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.