Gabrielle M. Siegers
- Immunology top 5%
- Oncology top 10%
- Molecular Biology
- Cancer Research
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Lynne‐Marie PostovitWolfgang W. SchamelLawrence S. LambSusana MinguetMahima SwamyArmand KeatingBernd WollscheidDaniela F. Quail
- Topics
- Immune Cell Function and Interaction (18 papers)T-cell and B-cell Immunology (16 papers)CAR-T cell therapy research (11 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- The Journal of Experimental MedicineSHILAP Revista de lepidopterologíaBlood
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
Gabrielle M. Siegers
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 93
- Immunology 554
- Oncology 409
- Molecular Biology 330
- Cancer Research 91
- Radiology, Nuclear Medicine and Imaging 83
Countries citing papers authored by Gabrielle M. Siegers
This map shows the geographic impact of Gabrielle M. Siegers'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 Gabrielle M. Siegers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielle M. Siegers more than expected).
Fields of papers citing papers by Gabrielle M. Siegers
This network shows the impact of papers produced by Gabrielle M. Siegers. 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 Gabrielle M. Siegers. The network helps show where Gabrielle M. Siegers may publish in the future.
Co-authorship network of co-authors of Gabrielle M. Siegers
This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle M. Siegers. A scholar is included among the top collaborators of Gabrielle M. Siegers 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 Gabrielle M. Siegers. Gabrielle M. Siegers 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 | 6 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 19 | |
| 7 | 7 | |
| 8 | 31 | |
| 9 | 28 | |
| 10 | 4 | |
| 11 | 50 | |
| 12 | 82 | |
| 13 | 14 | |
| 14 | 21 | |
| 15 | 65 | |
| 16 | 35 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 19 | |
| 20 | 25 |
About Gabrielle M. Siegers
Gabrielle M. Siegers is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (16 papers) and CAR-T cell therapy research (11 papers). The work is most often cited by research in Immunology (554 citations), Oncology (409 citations) and Cancer Research (91 citations). Gabrielle M. Siegers has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Lynne‐Marie Postovit, Wolfgang W. Schamel, Lawrence S. Lamb, Susana Minguet, Mahima Swamy, Armand Keating, Bernd Wollscheid, Daniela F. Quail, Paul Fisch and Daniela Wesch. Their work appears in journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Blood.
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.