Sergi Querol
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Hematology 18
- Hematopoietic Stem Cell Transplantation 18
- Acute Myeloid Leukemia Research 3
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Co-authors
- Joan Garcı́a (3 shared papers)Luciano Rodrı́guez (2 shared papers)Carmen Azqueta (5 shared papers)Susana Gómez (3 shared papers)Laura Rodríguez (1 shared paper)J. Alejandro Madrigal (2 shared papers)Francesc Rudilla (6 shared papers)Stéphanie McArdle (1 shared paper)
- Journals
- Stem Cell Research & Therapy (3 papers)Transplantation and Cellular Therapy (3 papers)Vox Sanguinis (3 papers)Bone Marrow Transplantation (2 papers)Transfusion (2 papers)
- Partner nations
- SpainUnited KingdomFrance
In The Last Decade
Sergi Querol
36 papers receiving 521 citations
Peers
Comparison fields: 5 of 67
- Hematology 181
- Genetics 119
- Transplantation 16
- Oncology 93
- Immunology 66
Countries citing papers authored by Sergi Querol
This map shows the geographic impact of Sergi 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 Sergi Querol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergi Querol more than expected).
Fields of papers citing papers by Sergi Querol
This network shows the impact of papers produced by Sergi 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 Sergi Querol. The network helps show where Sergi Querol may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergi 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 51 | |
| 2 | 2020 | 44 | |
| 3 | 2014 | 37 | |
| 4 | 2015 | 37 | |
| 5 | 2019 | 32 | |
| 6 | 2005 | 31 | |
| 7 | 2000 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2021 | 21 | |
| 10 | 2019 | 21 | |
| 11 | 2021 | 19 | |
| 12 | Effect of glycosylation of recombinant human granulocytic colony-stimulating factor on expansion cultures of umbilical cord blood CD34+ cells. | 1999 | 17 |
| 13 | 2018 | 16 | |
| 14 | 2022 | 14 | |
| 15 | 2024 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2020 | 10 | |
| 20 | 2019 | 10 |
About Sergi Querol
Sergi Querol is a scholar working on Hematology, Immunology, Genetics, Oncology and Transplantation, having authored 36 papers that have together received 535 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Pluripotent Stem Cells Research (6 papers), Mesenchymal stem cell research (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Acute Myeloid Leukemia Research (3 papers), CRISPR and Genetic Engineering (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (181 citations), Genetics (119 citations), Transplantation (16 citations), Oncology (93 citations) and Immunology (66 citations). Sergi Querol has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Joan Garcı́a, Luciano Rodrı́guez, Carmen Azqueta, Susana Gómez, Laura Rodríguez, J. Alejandro Madrigal, Francesc Rudilla, Stéphanie McArdle, Laura Fry and Robert C. Rees. Their work appears in journals such as Stem Cell Research & Therapy, Transplantation and Cellular Therapy, Vox Sanguinis, Bone Marrow Transplantation and Transfusion.
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.