Marc Pellegrini
- Immunology top 0.5%
- Molecular Biology top 5%
- Oncology top 2%
- Epidemiology top 5%
- Cancer Research top 5%
- Co-authors
- Andreas StrasserSimon PrestonPhilippe BouilletGabrielle T. BelzPamela S. OhashiTak W. MakAlisha R. ElfordHamsa Puthalakath
- Topics
- Cell death mechanisms and regulation (23 papers)Immune Cell Function and Interaction (19 papers)Immunotherapy and Immune Responses (17 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Marc Pellegrini
89 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 3.1k
- Molecular Biology 2.4k
- Oncology 1.3k
- Epidemiology 776
- Cancer Research 448
Countries citing papers authored by Marc Pellegrini
This map shows the geographic impact of Marc Pellegrini'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 Marc Pellegrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Pellegrini more than expected).
Fields of papers citing papers by Marc Pellegrini
This network shows the impact of papers produced by Marc Pellegrini. 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 Marc Pellegrini. The network helps show where Marc Pellegrini may publish in the future.
Co-authorship network of co-authors of Marc Pellegrini
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Pellegrini. A scholar is included among the top collaborators of Marc Pellegrini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Pellegrini. Marc Pellegrini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 12 | |
| 4 | 15 | |
| 5 | 19 | |
| 6 | 39 | |
| 7 | The e Antigen Is an Interferon Resistance Protein That Allows the Hepatitis B Virus to Evade the Early Immune Response. | 1 |
| 8 | 6 | |
| 9 | A combinatorial threshold model for effector differentiation of CD8( ) T cells mediated by Blimp-1 and T-bet | 0 |
| 10 | 21 | |
| 11 | 158 | |
| 12 | The transcription factor IRF4 is essential for TCR affinity-mediated metabolic programming and clonal expansion of T cells (vol 14, pg 1155, 2013) | 2 |
| 13 | 27 | |
| 14 | 63 | |
| 15 | 249 | |
| 16 | 171 | |
| 17 | 107 | |
| 18 | 72 | |
| 19 | 39 | |
| 20 | BH3-only Bcl-2 family member Bim is required for apoptosis of autoreactive thymocytesbreakdown → | 626 |
About Marc Pellegrini
Marc Pellegrini is a scholar working on Immunology, Infectious Diseases and Hepatology, having authored 91 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (23 papers), Immune Cell Function and Interaction (19 papers) and Immunotherapy and Immune Responses (17 papers). The work is most often cited by research in Immunology (3.1k citations), Oncology (1.3k citations) and Molecular Biology (2.4k citations). Marc Pellegrini has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Andreas Strasser, Simon Preston, Philippe Bouillet, Gabrielle T. Belz, Pamela S. Ohashi, Tak W. Mak, Alisha R. Elford, Hamsa Puthalakath, Axel Kallies and Jerry M. Adams. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.