Thomas Perlot
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
Papers in
- Immunology 12
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 9
- Immunodeficiency and Autoimmune Disorders 2
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- interferon and immune responses 1
- Co-authors
- Josef Penninger (4 shared papers)Frederick W. Alt (9 shared papers)Eric Pinaud (2 shared papers)Alexandra Schebesta (1 shared paper)Qiong Sun (1 shared paper)Alessio Delogu (1 shared paper)Meinrad Busslinger (1 shared paper)John Manis (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Immunity (2 papers)Advances in immunology (2 papers)Nature Genetics (1 paper)PLoS Biology (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Thomas Perlot
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Immunology 781
- Molecular Biology 583
- Infectious Diseases 136
- Biological Psychiatry 16
- Cancer Research 82
Countries citing papers authored by Thomas Perlot
This map shows the geographic impact of Thomas Perlot'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 Thomas Perlot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Perlot more than expected).
Fields of papers citing papers by Thomas Perlot
This network shows the impact of papers produced by Thomas Perlot. 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 Thomas Perlot. The network helps show where Thomas Perlot may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Perlot, 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 | 2006 | 250 | |
| 2 | 2007 | 193 | |
| 3 | 2013 | 180 | |
| 4 | 2007 | 162 | |
| 5 | 2005 | 138 | |
| 6 | 2018 | 55 | |
| 7 | 2008 | 51 | |
| 8 | 2008 | 51 | |
| 9 | 2014 | 46 | |
| 10 | 2009 | 44 | |
| 11 | 2012 | 44 | |
| 12 | 2010 | 27 | |
| 13 | 2013 | 19 | |
| 14 | 2010 | 10 |
About Thomas Perlot
Thomas Perlot is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers), Cytokine Signaling Pathways and Interactions (2 papers), NF-κB Signaling Pathways (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (781 citations), Molecular Biology (583 citations), Infectious Diseases (136 citations), Biological Psychiatry (16 citations) and Cancer Research (82 citations). Thomas Perlot has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Josef Penninger, Frederick W. Alt, Eric Pinaud, Alexandra Schebesta, Qiong Sun, Alessio Delogu, Meinrad Busslinger, John Manis, Heikyung Suh and Craig H. Bassing. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity, Advances in immunology, Nature Genetics and PLoS 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.