Sabrina Copsel

522 citations
27 papers · 421 · h-index 12

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 11
    • Immunotherapy and Immune Responses 5
    • Hematopoietic Stem Cell Transplantation 12

Sabrina Copsel

23 papers receiving 414 citations

Peers

Sabrina Copsel
Comparison fields: 5 of 60
  • Hematology 94
  • Immunology 156
  • Oncology 137
  • Physiology 16
  • Cellular and Molecular Neuroscience 60
Replace Μαρία Ζαμανάκου with:
Μαρία Ζαμανάκου Greece
Tomiaki Asai Japan
Amanda A. Hill United States
Luisa Caione Italy
Xiaomin Lin China
Lu Zhao China
Andrea V. Leisewitz Chile
Chun Cao Switzerland
Sylvia Torres-Odio United States
Paola Cuccarolo Italy
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Citations per field
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Citations per year

Countries citing papers authored by Sabrina Copsel

Since Specialization
Citations

This map shows the geographic impact of Sabrina Copsel'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 Sabrina Copsel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabrina Copsel more than expected).

Fields of papers citing papers by Sabrina Copsel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabrina Copsel. 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 Sabrina Copsel. The network helps show where Sabrina Copsel may publish in the future.

Co-authors

The 25 scholars most cited alongside Sabrina Copsel, 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 Sabrina Copsel Line = papers co-authored together Sabrina Copsel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011137
2 201741
3 201432
4 201428
5 201027
6 201925
7 201822
8 201817
9 201715
10 201914
11 202014
12 201112
13 20169
14 20206
15 20215
16 20234
17 20224
18 20203
19 20242
20 20221

About Sabrina Copsel

Sabrina Copsel is a scholar working on Immunology, Hematology, Molecular Biology, Oncology and Surgery, having authored 27 papers that have together received 421 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Hematopoietic Stem Cell Transplantation (12 papers), T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (5 papers), Neuropeptides and Animal Physiology (3 papers), Xenotransplantation and immune response (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Hematology (94 citations), Immunology (156 citations), Oncology (137 citations), Physiology (16 citations) and Cellular and Molecular Neuroscience (60 citations). Sabrina Copsel has collaborated with scholars based in United States, Argentina and Netherlands. Frequent co-authors include Carlos Davio, Carina Shayo, Robert B. Levy, Frans G. M. Rüssel, Dietlinde Wolf, Liliana G. Bianciotti, Federico Diez, Krishna V. Komanduri, Corina García and Alberto Baldi. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Frontiers in Immunology, JCI Insight, Transplantation and Cellular Therapy and Oncotarget.

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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