Sergio Erdal Irac
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Response and Inflammation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Immune cells in cancer 2
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- Viral Infections and Outbreaks Research 2
- Viral Infections and Vectors 2
- Co-authors
- Zewen Kelvin Tuong (1 shared paper)Nicholas C. Borcherding (1 shared paper)Yok Teng Chionh (2 shared papers)Charles‐Antoine Dutertre (2 shared papers)Lin‐Fa Wang (2 shared papers)Justin H. J. Ng (2 shared papers)Even Fossum (1 shared paper)Matae Ahn (1 shared paper)
In The Last Decade
Sergio Erdal Irac
10 papers receiving 2.2k citations
Sergio Erdal Irac's Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 1.6k
- Oncology 415
- Neurology 91
- Molecular Biology 550
- Immunology and Allergy 44
Countries citing papers authored by Sergio Erdal Irac
This map shows the geographic impact of Sergio Erdal Irac'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 Sergio Erdal Irac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Erdal Irac more than expected).
Fields of papers citing papers by Sergio Erdal Irac
This network shows the impact of papers produced by Sergio Erdal Irac. 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 Sergio Erdal Irac. The network helps show where Sergio Erdal Irac may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Erdal Irac, 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 | Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species Hit paper breakdown → | 2016 | 693 |
| 2 | 2017 | 473 | |
| 3 | Cross-tissue single-cell landscape of human monocytes and macrophages in health and disease Hit paper breakdown → | 2021 | 466 |
| 4 | 2019 | 414 | |
| 5 | 2019 | 49 | |
| 6 | 2016 | 32 | |
| 7 | 2024 | 27 | |
| 8 | 2018 | 13 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 1 |
About Sergio Erdal Irac
Sergio Erdal Irac is a scholar working on Immunology, Infectious Diseases, Immunology and Allergy, Small Animals and Molecular Biology, having authored 10 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Viral Infections and Outbreaks Research (2 papers), Viral Infections and Vectors (2 papers), Immune cells in cancer (2 papers), Single-cell and spatial transcriptomics (2 papers) and Veterinary Oncology Research (1 paper). The work is most often cited by research in Immunology (1.6k citations), Oncology (415 citations), Neurology (91 citations), Molecular Biology (550 citations) and Immunology and Allergy (44 citations). Sergio Erdal Irac has collaborated with scholars based in Singapore, Australia and France. Frequent co-authors include Zewen Kelvin Tuong, Nicholas C. Borcherding, Yok Teng Chionh, Charles‐Antoine Dutertre, Lin‐Fa Wang, Justin H. J. Ng, Even Fossum, Matae Ahn, Peng Zhou and Florent Ginhoux. Their work appears in journals such as Immunity, Scientific Reports, JHEP Reports, Science and Journal of Comparative Pathology.
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.