Christopher M. Snyder
- Immunology top 5%
- Epidemiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Oncology
- Co-authors
- Ann B. HillCorinne J. SmithKathy S. ChoHolly TurulaGeoffrey ShellamJacques CholletSergio WittlinChristian Scheurer
- Topics
- Cytomegalovirus and herpesvirus research (28 papers)Immune Cell Function and Interaction (25 papers)Herpesvirus Infections and Treatments (13 papers)
- Cited by
- ImmunologyEpidemiologyParasitology
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Christopher M. Snyder
64 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 134
- Immunology 911
- Epidemiology 820
- Public Health, Environmental and Occupational Health 341
- Molecular Biology 335
- Oncology 224
Countries citing papers authored by Christopher M. Snyder
This map shows the geographic impact of Christopher M. Snyder'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 M. Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Snyder more than expected).
Fields of papers citing papers by Christopher M. Snyder
This network shows the impact of papers produced by Christopher M. Snyder. 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 M. Snyder. The network helps show where Christopher M. Snyder may publish in the future.
Co-authorship network of co-authors of Christopher M. Snyder
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Snyder. A scholar is included among the top collaborators of Christopher M. Snyder 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 M. Snyder. Christopher M. Snyder 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 | 2 | |
| 3 | 10 | |
| 4 | 22 | |
| 5 | 31 | |
| 6 | 13 | |
| 7 | 48 | |
| 8 | 35 | |
| 9 | 26 | |
| 10 | 71 | |
| 11 | 40 | |
| 12 | 64 | |
| 13 | Competition for antigen selects T cell responses that undergo memory inflation and maintains clonal dominance during MCMV infection | 1 |
| 14 | 61 | |
| 15 | 63 | |
| 16 | 250 | |
| 17 | 83 | |
| 18 | 51 | |
| 19 | 73 | |
| 20 | 27 |
About Christopher M. Snyder
Christopher M. Snyder is a scholar working on Immunology, Epidemiology and Physiology, having authored 67 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (28 papers), Immune Cell Function and Interaction (25 papers) and Herpesvirus Infections and Treatments (13 papers). The work is most often cited by research in Immunology (911 citations), Epidemiology (820 citations) and Parasitology (117 citations). Christopher M. Snyder has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Ann B. Hill, Corinne J. Smith, Kathy S. Cho, Holly Turula, Geoffrey Shellam, Jacques Chollet, Sergio Wittlin, Christian Scheurer, Kathryn E. Howell and Gonzalo A. Mardones. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA 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.