Sergio Querol
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Hematology 56
- Hematopoietic Stem Cell Transplantation 54
- Immunology 29
- Immune Cell Function and Interaction 22
- T-cell and B-cell Immunology 13
- Co-authors
- J. Alejandro Madrigal (23 shared papers)Joan Garcı́a (10 shared papers)Aurore Saudemont (3 shared papers)Martha Luevano (3 shared papers)Susana Gómez (7 shared papers)Salim I. Khakoo (1 shared paper)Antonio Pagliuca (5 shared papers)Pablo Rubinstein (2 shared papers)
- Journals
- Bone Marrow Transplantation (13 papers)Blood (10 papers)Transfusion (10 papers)Transplantation and Cellular Therapy (8 papers)Cytotherapy (4 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Sergio Querol
97 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 87
- Hematology 849
- Genetics 315
- Immunology 541
- Transplantation 66
- Virology 70
Countries citing papers authored by Sergio Querol
This map shows the geographic impact of Sergio Querol'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 Sergio Querol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Querol more than expected).
Fields of papers citing papers by Sergio Querol
This network shows the impact of papers produced by Sergio Querol. 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 Sergio Querol. The network helps show where Sergio Querol may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Querol, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 145 | |
| 2 | 2015 | 74 | |
| 3 | 2010 | 71 | |
| 4 | 2016 | 66 | |
| 5 | 2001 | 58 | |
| 6 | 2009 | 56 | |
| 7 | 2014 | 53 | |
| 8 | 2015 | 49 | |
| 9 | 2018 | 43 | |
| 10 | 2009 | 41 | |
| 11 | 2011 | 39 | |
| 12 | 2016 | 36 | |
| 13 | 2014 | 32 | |
| 14 | 2000 | 32 | |
| 15 | 2020 | 31 | |
| 16 | Short-term, serum-free, static culture of cord blood-derived CD34+ cells: effects of FLT3-L and MIP-1alpha on in vitro expansion of hematopoietic progenitor cells. | 1999 | 31 |
| 17 | 2006 | 28 | |
| 18 | 2000 | 27 | |
| 19 | 2002 | 26 | |
| 20 | 2013 | 26 |
About Sergio Querol
Sergio Querol is a scholar working on Hematology, Immunology, Genetics, Transplantation and Oncology, having authored 102 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (54 papers), Immune Cell Function and Interaction (22 papers), Mesenchymal stem cell research (19 papers), T-cell and B-cell Immunology (13 papers), Cytomegalovirus and herpesvirus research (10 papers), Transplantation: Methods and Outcomes (9 papers), Polyomavirus and related diseases (7 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Hematology (849 citations), Genetics (315 citations), Immunology (541 citations), Transplantation (66 citations) and Virology (70 citations). Sergio Querol has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include J. Alejandro Madrigal, Joan Garcı́a, Aurore Saudemont, Martha Luevano, Susana Gómez, Salim I. Khakoo, Antonio Pagliuca, Pablo Rubinstein, Richard Charles Duggleby and Carmen Azqueta. Their work appears in journals such as Bone Marrow Transplantation, Blood, Transfusion, Transplantation and Cellular Therapy and Cytotherapy.
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.