Julie Auger
- Genetics top 2%
- Immunology top 5%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Co-authors
- Jeffrey A. BluestoneRobert A. ZivinDanlin XuA. Lane RayburnLesley TaylorDavid M. HarlanDavid DonaldsonWilliam Hagopian
- Topics
- Chromosomal and Genetic Variations (4 papers)T-cell and B-cell Immunology (4 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)
- Partner nations
- United StatesFranceMali
In The Last Decade
Julie Auger
22 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Genetics 1.0k
- Immunology 876
- Surgery 655
- Endocrinology, Diabetes and Metabolism 584
- Molecular Biology 276
Countries citing papers authored by Julie Auger
This map shows the geographic impact of Julie Auger'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 Julie Auger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julie Auger more than expected).
Fields of papers citing papers by Julie Auger
This network shows the impact of papers produced by Julie Auger. 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 Julie Auger. The network helps show where Julie Auger may publish in the future.
Co-authorship network of co-authors of Julie Auger
This figure shows the co-authorship network connecting the top 25 collaborators of Julie Auger. A scholar is included among the top collaborators of Julie Auger 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 Julie Auger. Julie Auger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 37 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 75 | |
| 8 | Modified anti-CD3 therapy in psoriatic arthritis: a phase I/II clinical trial. | 98 |
| 9 | Anti-CD3 Monoclonal Antibody in New-Onset Type 1 Diabetes Mellitusbreakdown → | 903 |
| 10 | 155 | |
| 11 | 140 | |
| 12 | Phase I evaluation of humanized OKT3: toxicity and immunomodulatory effects of hOKT3gamma4. | 35 |
| 13 | 30 | |
| 14 | 190 | |
| 15 | 20 | |
| 16 | 42 | |
| 17 | 98 | |
| 18 | 13 | |
| 19 | 9 | |
| 20 | 118 |
About Julie Auger
Julie Auger is a scholar working on Developmental Biology, Genetics and Immunology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), T-cell and B-cell Immunology (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Immunology (876 citations), Genetics (1.0k citations) and Endocrinology, Diabetes and Metabolism (584 citations). Julie Auger has collaborated with scholars based in United States, France and Mali. Frequent co-authors include Jeffrey A. Bluestone, Robert A. Zivin, Danlin Xu, A. Lane Rayburn, Lesley Taylor, David M. Harlan, David Donaldson, William Hagopian, Stephen E. Gitelman and Kevan C. Herold. Their work appears in journals such as New England Journal of Medicine, Nature Immunology and The Journal of Immunology.
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.