Sergi Querol
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in ⓘ
- Hematology 18
- Hematopoietic Stem Cell Transplantation 18
- Acute Myeloid Leukemia Research 4
- Genetics 8
- Mesenchymal stem cell research 7
- 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)Francesc Rudilla (5 shared papers)Laura Fry (1 shared paper)Stéphanie McArdle (1 shared paper)
- Journals
- Transfusion (2 papers)Biology of Blood and Marrow Transplantation (2 papers)Experimental Hematology (2 papers)Bone Marrow Transplantation (2 papers)Vox Sanguinis (2 papers)
- Partner nations
- SpainUnited StatesFinland
In The Last Decade
Sergi Querol
28 papers receiving 347 citations
Peers
Comparison fields: 5 of 66
- Hematology 171
- Genetics 112
- Transplantation 14
- Oncology 88
- Immunology 67
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 37 | |
| 2 | 2014 | 33 | |
| 3 | 2015 | 30 | |
| 4 | 2019 | 27 | |
| 5 | 2005 | 26 | |
| 6 | 2000 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2019 | 18 | |
| 9 | Effect of glycosylation of recombinant human granulocytic colony-stimulating factor on expansion cultures of umbilical cord blood CD34+ cells. | 1999 | 16 |
| 10 | 2022 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2019 | 5 | |
| 19 | 2012 | 5 | |
| 20 | 2016 | 5 |
About Sergi Querol
Sergi Querol is a scholar working on Hematology, Genetics, Transplantation, Immunology and Oncology, having authored 28 papers that have together received 351 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Mesenchymal stem cell research (7 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Acute Myeloid Leukemia Research (4 papers), Pluripotent Stem Cells Research (4 papers), CAR-T cell therapy research (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Hematology (171 citations), Genetics (112 citations), Transplantation (14 citations), Oncology (88 citations) and Immunology (67 citations). Sergi Querol has collaborated with scholars based in Spain, United States and Finland. Frequent co-authors include Joan Garcı́a, Luciano Rodrı́guez, Carmen Azqueta, Susana Gómez, Laura Rodríguez, Francesc Rudilla, Laura Fry, Stéphanie McArdle, Robert C. Rees and J. Alejandro Madrigal. Their work appears in journals such as Transfusion, Biology of Blood and Marrow Transplantation, Experimental Hematology, Bone Marrow Transplantation and Vox Sanguinis.
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.