Sergio Querol

1.9k citations
80 papers · 1.2k · h-index 21

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 41
    • Immune Cell Function and Interaction 15
    • T-cell and B-cell Immunology 11
    • Immunotherapy and Immune Responses 5

Sergio Querol

75 papers receiving 1.2k citations

Peers

Sergio Querol
Comparison fields: 5 of 83
  • Hematology 620
  • Genetics 228
  • Immunology 408
  • Transplantation 49
  • Oncology 256
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Friedrich Schuening United States
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Citations per field
00.5×6.1×
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Citations per year

Countries citing papers authored by Sergio Querol

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sergio Querol Line = papers co-authored together Sergio Querol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011137
2 201071
3 200155
4 200950
5 201540
6 201840
7 200939
8 201138
9 201634
10 200032
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.
199931
12 201430
13 200626
14 201325
15 202025
16 200224
17 200224
18 200023
19 202022
20 202121

About Sergio Querol

Sergio Querol is a scholar working on Hematology, Immunology, Genetics, Oncology and Surgery, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (41 papers), Immune Cell Function and Interaction (15 papers), Mesenchymal stem cell research (14 papers), T-cell and B-cell Immunology (11 papers), Cytomegalovirus and herpesvirus research (8 papers), Transplantation: Methods and Outcomes (7 papers), Polyomavirus and related diseases (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Hematology (620 citations), Genetics (228 citations), Immunology (408 citations), Transplantation (49 citations) and Oncology (256 citations). Sergio Querol has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include J. Alejandro Madrigal, Joan Garcı́a, Martha Luevano, Aurore Saudemont, Susana Gómez, Salim I. Khakoo, Antonio Pagliuca, Richard Duggleby, Pablo Rubinstein and Marta Torrabadella. 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.

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