Ruth M. Risueño
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Histone Deacetylase Inhibitors Research 5
- Pluripotent Stem Cells Research 3
- Retinoids in leukemia and cellular processes 3
- Hematology 15
- Acute Myeloid Leukemia Research 12
- Hematopoietic Stem Cell Transplantation 3
- Co-authors
- Mickie Bhatia (6 shared papers)Balbino Alarcón (7 shared papers)Éva Szabó (2 shared papers)Marilyne Levadoux‐Martin (2 shared papers)Ryan R. Mitchell (2 shared papers)Aline Fiebig‐Comyn (1 shared paper)Shravanti Rampalli (1 shared paper)Angelique Schnerch (1 shared paper)
In The Last Decade
Ruth M. Risueño
37 papers receiving 1.5k citations
Ruth M. Risueño's Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 494
- Hematology 152
- Molecular Biology 837
- Cancer Research 130
- Developmental Neuroscience 36
Countries citing papers authored by Ruth M. Risueño
This map shows the geographic impact of Ruth M. Risueño'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 Ruth M. Risueño with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth M. Risueño more than expected).
Fields of papers citing papers by Ruth M. Risueño
This network shows the impact of papers produced by Ruth M. Risueño. 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 Ruth M. Risueño. The network helps show where Ruth M. Risueño may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruth M. Risueño, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Direct conversion of human fibroblasts to multilineage blood progenitors Hit paper breakdown → | 2010 | 561 |
| 2 | 2005 | 256 | |
| 3 | 2009 | 76 | |
| 4 | 2015 | 75 | |
| 5 | 2005 | 69 | |
| 6 | 2006 | 51 | |
| 7 | 2017 | 44 | |
| 8 | 2008 | 40 | |
| 9 | 2006 | 33 | |
| 10 | 2011 | 30 | |
| 11 | 2008 | 29 | |
| 12 | 2014 | 26 | |
| 13 | 2016 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2007 | 18 | |
| 16 | 2008 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2016 | 16 | |
| 19 | 2014 | 15 | |
| 20 | 2011 | 14 |
About Ruth M. Risueño
Ruth M. Risueño is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Genetics, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (9 papers), Histone Deacetylase Inhibitors Research (5 papers), Pluripotent Stem Cells Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Retinoids in leukemia and cellular processes (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (494 citations), Hematology (152 citations), Molecular Biology (837 citations), Cancer Research (130 citations) and Developmental Neuroscience (36 citations). Ruth M. Risueño has collaborated with scholars based in Spain, Canada and Germany. Frequent co-authors include Mickie Bhatia, Balbino Alarcón, Éva Szabó, Marilyne Levadoux‐Martin, Ryan R. Mitchell, Aline Fiebig‐Comyn, Shravanti Rampalli, Angelique Schnerch, Wolfgang W. Schamel and Hisse M. van Santen. Their work appears in journals such as Blood, Oncotarget, Cancer Cell International, Scientific Reports and Stem Cells.
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.