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
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- Epigenetics and DNA Methylation 1
- Co-authors
- Josef Penninger (4 shared papers)Frederick W. Alt (9 shared papers)Eric Pinaud (2 shared papers)Meinrad Busslinger (1 shared paper)Alexandra Schebesta (1 shared paper)Alessio Delogu (1 shared paper)Qiong Sun (1 shared paper)John Manis (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Advances in immunology (2 papers)Immunity (2 papers)Microbes and Infection (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Thomas Perlot
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Immunology 769
- Molecular Biology 571
- Infectious Diseases 124
- Cancer Research 82
- Biological Psychiatry 13
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 | 252 | |
| 2 | 2007 | 195 | |
| 3 | 2013 | 180 | |
| 4 | 2007 | 167 | |
| 5 | 2005 | 138 | |
| 6 | 2018 | 56 | |
| 7 | 2008 | 51 | |
| 8 | 2008 | 51 | |
| 9 | 2014 | 47 | |
| 10 | 2012 | 45 | |
| 11 | 2009 | 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), NF-κB Signaling Pathways (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Blood disorders and treatments (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (769 citations), Molecular Biology (571 citations), Infectious Diseases (124 citations), Cancer Research (82 citations) and Biological Psychiatry (13 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, Meinrad Busslinger, Alexandra Schebesta, Alessio Delogu, Qiong Sun, John Manis, Craig H. Bassing and Heikyung Suh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advances in immunology, Immunity, Microbes and Infection and PLoS Pathogens.
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.