Suzanne Kadereit

1.8k citations
29 papers · 1.2k indexed · h-index 19
    • Anesthesia and Neurotoxicity Research 3
  • Immunology top 10%
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 5
    • interferon and immune responses 3
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation 4
  • Genetics top 10%
    • Signaling Pathways in Disease 6
    • Pluripotent Stem Cells Research 5
    • RNA regulation and disease 5

Suzanne Kadereit

29 papers receiving 1.2k citations

Peers

Suzanne Kadereit
Comparison fields: 5 of 93
  • Developmental Neuroscience 89
  • Immunology 395
  • Hematology 149
  • Genetics 141
  • Molecular Biology 616
Replace Eliana Abdelhay with:
Eliana Abdelhay Brazil
Alla L. Zozulya Germany
Sarah Shapiro Israel
Julien Bauer United Kingdom
Jung Jae Ko South Korea
Michael R. Daws Norway
Andrea Mariotti Italy
Angela S. Archambault United States
Dan Chen China
David Langlais Canada
Suzanne Kadereit relative to Eliana Abdelhay Brazil Eliana Abdelhay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Suzanne Kadereit

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Kadereit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20197
2 201541
3 201260
4 201279
5 201132
6 201119
7 201081
8 200960
9
Vor- und Nachdenkliches ... zum wahren Erfolg des 3R-Prinzips
20081
10 200812
11 200661
12 200518
13 200221
14 200297
15 200120
16 200025
17 19997
18 1995103
19 19949
20 19923

About Suzanne Kadereit

Suzanne Kadereit is a scholar working on Developmental Neuroscience, Immunology and Biological Psychiatry, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Signaling Pathways in Disease (6 papers), Pluripotent Stem Cells Research (5 papers), RNA regulation and disease (5 papers), T-cell and B-cell Immunology (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), interferon and immune responses (3 papers) and Anesthesia and Neurotoxicity Research (3 papers). The work is most often cited by research in Developmental Neuroscience (89 citations), Immunology (395 citations) and Hematology (149 citations). Suzanne Kadereit has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Éliane Meurs, Ara G. Hovanessian, Mary J. Laughlin, Bryan Williams, Marcel Leist, Michael G. Katze, Yuichiro Watanabe, Glen N. Barber, Karen L. Chong and Vivek Tanavde. Their work appears in journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

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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