Emily R. Miraldi
- Molecular Biology top 5%
- Immunology top 5%
- Ecology top 5%
- Surgery top 10%
- Plant Science top 10%
- Co-authors
- Richard BonneauDan R. LittmanChristian L. MüllerZachary KurtzMartin J. BlaserJason A. HallJune‐Yong LeeTeruyuki Sano
- Topics
- Immune Cell Function and Interaction (7 papers)T-cell and B-cell Immunology (6 papers)Genomics and Chromatin Dynamics (5 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Emily R. Miraldi
25 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 1.3k
- Immunology 794
- Ecology 352
- Surgery 303
- Plant Science 251
Countries citing papers authored by Emily R. Miraldi
This map shows the geographic impact of Emily R. Miraldi'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 Emily R. Miraldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily R. Miraldi more than expected).
Fields of papers citing papers by Emily R. Miraldi
This network shows the impact of papers produced by Emily R. Miraldi. 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 Emily R. Miraldi. The network helps show where Emily R. Miraldi may publish in the future.
Co-authorship network of co-authors of Emily R. Miraldi
This figure shows the co-authorship network connecting the top 25 collaborators of Emily R. Miraldi. A scholar is included among the top collaborators of Emily R. Miraldi 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 Emily R. Miraldi. Emily R. Miraldi 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 | 1 | |
| 3 | 16 | |
| 4 | 16 | |
| 5 | 7 | |
| 6 | 37 | |
| 7 | IL-10–producing Tfh cells accumulate with age and link inflammation with age-related immune suppression | 1 |
| 8 | 8 | |
| 9 | 67 | |
| 10 | 47 | |
| 11 | 61 | |
| 12 | 34 | |
| 13 | 80 | |
| 14 | 20 | |
| 15 | 59 | |
| 16 | Sparse and Compositionally Robust Inference of Microbial Ecological Networksbreakdown → | 1054 |
| 17 | An IL-23R/IL-22 Circuit Regulates Epithelial Serum Amyloid A to Promote Local Effector Th17 Responsesbreakdown → | 440 |
| 18 | 17 | |
| 19 | 40 | |
| 20 | 63 |
About Emily R. Miraldi
Emily R. Miraldi is a scholar working on Immunology, Biophysics and Molecular Biology, having authored 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Immunology (794 citations), Biological Psychiatry (55 citations) and Molecular Biology (1.3k citations). Emily R. Miraldi has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Richard Bonneau, Dan R. Littman, Christian L. Müller, Zachary Kurtz, Martin J. Blaser, Jason A. Hall, June‐Yong Lee, Teruyuki Sano, Yi Yang and Alessandra Chen. Their work appears in journals such as Cell, Nature Communications and The Journal of Experimental Medicine.
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.