Shannon C. Miller
- Immunology top 5%
- Epidemiology top 5%
- Molecular Biology top 10%
- Hematology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Frank M. TortiDavid L. WoodlandSuzy V. TortiJacob E. KohlmeierAlan D. RobertsLeo MillerTres CookenhamDavid A. Fiellin
- Topics
- Opioid Use Disorder Treatment (9 papers)Immunotherapy and Immune Responses (7 papers)Immune Cell Function and Interaction (7 papers)
- Cited by
- ImmunologyHematologyEpidemiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Shannon C. Miller
52 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 143
- Immunology 855
- Epidemiology 734
- Molecular Biology 702
- Hematology 346
- Public Health, Environmental and Occupational Health 345
Countries citing papers authored by Shannon C. Miller
This map shows the geographic impact of Shannon C. Miller'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 Shannon C. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon C. Miller more than expected).
Fields of papers citing papers by Shannon C. Miller
This network shows the impact of papers produced by Shannon C. Miller. 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 Shannon C. Miller. The network helps show where Shannon C. Miller may publish in the future.
Co-authorship network of co-authors of Shannon C. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Shannon C. Miller. A scholar is included among the top collaborators of Shannon C. Miller 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 Shannon C. Miller. Shannon C. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 54 | |
| 3 | 23 | |
| 4 | The ASAM principles of addiction medicine | 120 |
| 5 | 22 | |
| 6 | Prescription Opioid Use Disorder: A Complex Clinical Challenge: Understanding Patients' Aberrant Medication-Taking Behaviors Can Greatly Aid Treatment | 1 |
| 7 | 196 | |
| 8 | Principles of addiction medicine | 142 |
| 9 | 106 | |
| 10 | 1 | |
| 11 | 38 | |
| 12 | 46 | |
| 13 | 7 | |
| 14 | 64 | |
| 15 | 15 | |
| 16 | 184 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 8 | |
| 20 | 15 |
About Shannon C. Miller
Shannon C. Miller is a scholar working on Anesthesiology and Pain Medicine, Toxicology and Behavioral Neuroscience, having authored 52 papers that have together received 2.9k indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (9 papers), Immunotherapy and Immune Responses (7 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Immunology (855 citations), Hematology (346 citations) and Epidemiology (734 citations). Shannon C. Miller has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Frank M. Torti, David L. Woodland, Suzy V. Torti, Jacob E. Kohlmeier, Alan D. Roberts, Leo Miller, Tres Cookenham, David A. Fiellin, Richard Saitz and Yoshiaki Tsuji. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.