Catherine Rabu
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Atherosclerosis and Cardiovascular Diseases
- T-cell and B-cell Immunology
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 4
- Toxin Mechanisms and Immunotoxins 2
- Immune Response and Inflammation 2
- T-cell and B-cell Immunology 2
-
- RNA modifications and cancer 2
- Co-authors
- Stephen High (6 shared papers)François Lang (7 shared papers)Blanche Schwappach (1 shared paper)Volker Schmid (1 shared paper)Peter Wipf (1 shared paper)Jeffrey L. Brodsky (1 shared paper)Jason C. Young (1 shared paper)Ben M. Abell (1 shared paper)
- Journals
- Journal of Cell Science (3 papers)The Journal of Immunology (2 papers)Journal of Biological Chemistry (2 papers)Molecular Oncology (1 paper)Current Biology (1 paper)
- Partner nations
- United KingdomFranceCanada
In The Last Decade
Catherine Rabu
14 papers receiving 861 citations
Peers
Comparison fields: 5 of 68
- Immunology 377
- Cell Biology 196
- Molecular Biology 491
- Immunology and Allergy 42
- Oncology 182
Countries citing papers authored by Catherine Rabu
This map shows the geographic impact of Catherine Rabu'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 Rabu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Rabu more than expected).
Fields of papers citing papers by Catherine Rabu
This network shows the impact of papers produced by Catherine Rabu. 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 Rabu. The network helps show where Catherine Rabu may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Rabu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 177 | |
| 2 | 2009 | 97 | |
| 3 | 2008 | 93 | |
| 4 | 2009 | 87 | |
| 5 | 2007 | 84 | |
| 6 | 2005 | 77 | |
| 7 | 2005 | 47 | |
| 8 | 2016 | 44 | |
| 9 | 2019 | 40 | |
| 10 | 2012 | 37 | |
| 11 | 2011 | 37 | |
| 12 | 2005 | 23 | |
| 13 | 2021 | 15 | |
| 14 | 2007 | 15 |
About Catherine Rabu
Catherine Rabu is a scholar working on Immunology, Molecular Biology, Cell Biology, Oncology and Neurology, having authored 14 papers that have together received 873 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (6 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), Cellular transport and secretion (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), RNA modifications and cancer (2 papers), Immune Response and Inflammation (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (377 citations), Cell Biology (196 citations), Molecular Biology (491 citations), Immunology and Allergy (42 citations) and Oncology (182 citations). Catherine Rabu has collaborated with scholars based in United Kingdom, France and Canada. Frequent co-authors include Stephen High, François Lang, Blanche Schwappach, Volker Schmid, Peter Wipf, Jeffrey L. Brodsky, Jason C. Young, Ben M. Abell, Paweł Leźnicki and Nathalie Labarrière. Their work appears in journals such as Journal of Cell Science, The Journal of Immunology, Journal of Biological Chemistry, Molecular Oncology and Current Biology.
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.