Catherine Sobieski

441 citations
12 papers · 366 · h-index 8

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • Immune Cell Function and Interaction 8
    • Immunodeficiency and Autoimmune Disorders 2
    • T-cell and B-cell Immunology 2
    • Phagocytosis and Immune Regulation 2
    • Hematopoietic Stem Cell Transplantation 3
    • Acute Myeloid Leukemia Research 2

Catherine Sobieski

11 papers receiving 363 citations

Peers

Catherine Sobieski
Comparison fields: 5 of 50
  • Hematology 117
  • Immunology 215
  • Genetics 87
  • Oncology 121
  • Pathology and Forensic Medicine 55
Replace Luc Meuleners with:
Luc Meuleners Belgium
Yusuke Meguri Japan
Morgane Nudel France
Qingsong Yin China
Zena Khaznadar France
Asaka Kondo Japan
Dale Janson United States
Gandhi Damaj France
Bridget Medina United States
Katie Perkins United States
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Citations per field
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Citations per year

Countries citing papers authored by Catherine Sobieski

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Sobieski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2017107
2 201984
3 201653
4 201832
5 201832
6 201628
7 201513
8 20158
9 20205
10 20153
11 20181
12 20160

About Catherine Sobieski

Catherine Sobieski is a scholar working on Immunology, Hematology, Genetics, Oncology and Radiological and Ultrasound Technology, having authored 12 papers that have together received 366 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Hematopoietic Stem Cell Transplantation (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Acute Myeloid Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Phagocytosis and Immune Regulation (2 papers). The work is most often cited by research in Hematology (117 citations), Immunology (215 citations), Genetics (87 citations), Oncology (121 citations) and Pathology and Forensic Medicine (55 citations). Catherine Sobieski has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Marco Calafiore, Ya–Yuan Fu, Shuichiro Takashima, Hans C. Clevers, Alan M. Hanash, Hila Shaim, Katayoun Rezvani, Elizabeth J. Shpall, Richard Champlin and Abdullah Alsuliman. Their work appears in journals such as Blood, Frontiers in Immunology, Immunity, Leukemia and Transplantation and Cellular Therapy.

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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