Sergio Querol
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Hematology 52
- Hematopoietic Stem Cell Transplantation 50
- Immunology 28
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 7
- Co-authors
- J. Alejandro Madrigal (22 shared papers)Joan Garcı́a (10 shared papers)Martha Luevano (3 shared papers)Aurore Saudemont (3 shared papers)Susana Gómez (6 shared papers)Salim I. Khakoo (1 shared paper)Antonio Pagliuca (5 shared papers)Pablo Rubinstein (2 shared papers)
- Journals
- Transfusion (10 papers)Bone Marrow Transplantation (9 papers)Biology of Blood and Marrow Transplantation (6 papers)Blood (5 papers)Cytotherapy (3 papers)
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Sergio Querol
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Hematology 694
- Genetics 287
- Immunology 460
- Transplantation 58
- Oncology 294
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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 132 | |
| 2 | 2010 | 65 | |
| 3 | 2001 | 51 | |
| 4 | 2009 | 47 | |
| 5 | 2015 | 38 | |
| 6 | 2011 | 37 | |
| 7 | 2009 | 36 | |
| 8 | 2018 | 35 | |
| 9 | 2016 | 34 | |
| 10 | 2000 | 32 | |
| 11 | 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 |
| 12 | 2014 | 28 | |
| 13 | 2020 | 25 | |
| 14 | 2006 | 25 | |
| 15 | 2002 | 24 | |
| 16 | 2002 | 24 | |
| 17 | 2000 | 23 | |
| 18 | 2013 | 23 | |
| 19 | 1998 | 21 | |
| 20 | 2020 | 20 |
About Sergio Querol
Sergio Querol is a scholar working on Hematology, Immunology, Genetics, Oncology and Surgery, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (50 papers), Mesenchymal stem cell research (20 papers), Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (14 papers), Polyomavirus and related diseases (8 papers), Cytomegalovirus and herpesvirus research (8 papers), Immunotherapy and Immune Responses (7 papers) and Transplantation: Methods and Outcomes (6 papers). The work is most often cited by research in Hematology (694 citations), Genetics (287 citations), Immunology (460 citations), Transplantation (58 citations) and Oncology (294 citations). Sergio Querol has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include J. Alejandro Madrigal, Joan Garcı́a, Martha Luevano, Aurore Saudemont, Susana Gómez, Salim I. Khakoo, Antonio Pagliuca, Pablo Rubinstein, Marta Torrabadella and Richard Duggleby. Their work appears in journals such as Transfusion, Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation, Blood 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.