Christopher J. Miller
- Virology top 0.05%
- Immunology top 0.5%
- Infectious Diseases top 0.2%
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Co-authors
- Zhong-Min MaMichael B. McChesneyKristina AbelTracy RourkeJinjie HuAshley T. HaaseMurray B. GardnerYichuan Wang
- Topics
- HIV Research and Treatment (109 papers)Immune Cell Function and Interaction (44 papers)HIV/AIDS Research and Interventions (44 papers)
- Cited by
- VirologyImmunologyMicrobiology
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Christopher J. Miller
186 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Virology 5.3k
- Immunology 4.2k
- Infectious Diseases 2.9k
- Epidemiology 2.7k
- Molecular Biology 1.4k
Countries citing papers authored by Christopher J. Miller
This map shows the geographic impact of Christopher J. 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 Christopher J. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Miller more than expected).
Fields of papers citing papers by Christopher J. Miller
This network shows the impact of papers produced by Christopher J. 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 Christopher J. Miller. The network helps show where Christopher J. Miller may publish in the future.
Co-authorship network of co-authors of Christopher J. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Miller. A scholar is included among the top collaborators of Christopher J. 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 Christopher J. Miller. Christopher J. 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 | 19 | |
| 2 | 8 | |
| 3 | 60 | |
| 4 | 7 | |
| 5 | 31 | |
| 6 | 38 | |
| 7 | 76 | |
| 8 | 9 | |
| 9 | Visualizing Antigen-Specific and\nInfected Cells in Situ Predicts\nOutcomes in Early Viral Infection | 155 |
| 10 | 110 | |
| 11 | 64 | |
| 12 | 37 | |
| 13 | 12 | |
| 14 | 48 | |
| 15 | 4 | |
| 16 | 34 | |
| 17 | 76 | |
| 18 | 79 | |
| 19 | 5 | |
| 20 | 56 |
About Christopher J. Miller
Christopher J. Miller is a scholar working on Virology, Microbiology and Immunology, having authored 188 papers that have together received 9.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (109 papers), Immune Cell Function and Interaction (44 papers) and HIV/AIDS Research and Interventions (44 papers). The work is most often cited by research in Virology (5.3k citations), Immunology (4.2k citations) and Microbiology (1.2k citations). Christopher J. Miller has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Zhong-Min Ma, Michael B. McChesney, Kristina Abel, Tracy Rourke, Jinjie Hu, Ashley T. Haase, Murray B. Gardner, Yichuan Wang, Marta L. Marthas and John V. Carlis. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.