Michelle L. Robinette
- Immunology top 1%
- Neurology top 0.5%
- Surgery top 5%
- Physiology top 2%
- Molecular Biology
- Co-authors
- Marco ColonnaSusan GilfillanYaming WangMarina CellaVictor S. CortezJohn R. CirritoJason D. UlrichShwetha Sudhakar
- Topics
- IL-33, ST2, and ILC Pathways (13 papers)Immune Cell Function and Interaction (11 papers)Eosinophilic Esophagitis (8 papers)
- Partner nations
- United StatesItalyBrazil
In The Last Decade
Michelle L. Robinette
21 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 2.4k
- Neurology 1.4k
- Surgery 798
- Physiology 784
- Molecular Biology 495
Countries citing papers authored by Michelle L. Robinette
This map shows the geographic impact of Michelle L. Robinette'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 Michelle L. Robinette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle L. Robinette more than expected).
Fields of papers citing papers by Michelle L. Robinette
This network shows the impact of papers produced by Michelle L. Robinette. 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 Michelle L. Robinette. The network helps show where Michelle L. Robinette may publish in the future.
Co-authorship network of co-authors of Michelle L. Robinette
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle L. Robinette. A scholar is included among the top collaborators of Michelle L. Robinette 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 Michelle L. Robinette. Michelle L. Robinette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 74 | |
| 3 | 37 | |
| 4 | 5 | |
| 5 | 75 | |
| 6 | 1 | |
| 7 | 38 | |
| 8 | 91 | |
| 9 | 13 | |
| 10 | 256 | |
| 11 | 122 | |
| 12 | 196 | |
| 13 | 55 | |
| 14 | 90 | |
| 15 | Transcriptional programs define molecular characteristics of innate lymphoid cell classes and subsetsbreakdown → | 497 |
| 16 | 26 | |
| 17 | TREM2 Lipid Sensing Sustains the Microglial Response in an Alzheimer’s Disease Modelbreakdown → | 1215 |
| 18 | 375 | |
| 19 | 175 | |
| 20 | 64 |
About Michelle L. Robinette
Michelle L. Robinette is a scholar working on Immunology, Biological Psychiatry and Neurology, having authored 22 papers that have together received 3.6k indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (13 papers), Immune Cell Function and Interaction (11 papers) and Eosinophilic Esophagitis (8 papers). The work is most often cited by research in Neurology (1.4k citations), Immunology (2.4k citations) and Biological Psychiatry (198 citations). Michelle L. Robinette has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Marco Colonna, Susan Gilfillan, Yaming Wang, Marina Cella, Victor S. Cortez, John R. Cirrito, Jason D. Ulrich, Shwetha Sudhakar, Bernd H. Zinselmeyer and David M. Holtzman. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.