Fred M. Davenport
- Epidemiology top 1%
- Infectious Diseases top 2%
- Immunology top 5%
- Molecular Biology
- Agronomy and Crop Science top 5%
- Co-authors
- Albert V. HennessyThomas FrancisJohn A. NapierArnold S. MontoElva MinuseH. F. MaassabFrederic B. AskinR. Rott
- Topics
- Influenza Virus Research Studies (60 papers)Respiratory viral infections research (34 papers)Immunotherapy and Immune Responses (9 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Fred M. Davenport
87 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Epidemiology 1.8k
- Infectious Diseases 572
- Immunology 471
- Molecular Biology 277
- Agronomy and Crop Science 217
Countries citing papers authored by Fred M. Davenport
This map shows the geographic impact of Fred M. Davenport'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 Fred M. Davenport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred M. Davenport more than expected).
Fields of papers citing papers by Fred M. Davenport
This network shows the impact of papers produced by Fred M. Davenport. 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 Fred M. Davenport. The network helps show where Fred M. Davenport may publish in the future.
Co-authorship network of co-authors of Fred M. Davenport
This figure shows the co-authorship network connecting the top 25 collaborators of Fred M. Davenport. A scholar is included among the top collaborators of Fred M. Davenport 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 Fred M. Davenport. Fred M. Davenport is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Inactivated Influenza Virus Vaccines1, 2 | 0 |
| 2 | 28 | |
| 3 | 6 | |
| 4 | 20 | |
| 5 | 7 | |
| 6 | 37 | |
| 7 | 26 | |
| 8 | Photometric Methods for the Measurement of Hemagglutinating Viruses and Antibody II. Further Experience with Antibody Determinations and the Description of a Technique for Analysis of Virus Mixtures | 17 |
| 9 | Photometric Methods for the Measurement of Hemagglutinating Viruses and Antibody: I. Further Experience with a Novel Photometric Method for Measuring Hemagglutinins | 33 |
| 10 | 16 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 105 | |
| 14 | 11 | |
| 15 | 56 | |
| 16 | 96 | |
| 17 | EPIDEMIOLOGIC AND IMMUNOLOGIC SIGNIFICANCE OF AGE DISTRIBUTION OF ANTIBODY TO ANTIGENIC VARIANTS OF INFLUENZA VIRUSbreakdown → | 298 |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 23 |
About Fred M. Davenport
Fred M. Davenport is a scholar working on Epidemiology, Immunology and Infectious Diseases, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (60 papers), Respiratory viral infections research (34 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Epidemiology (1.8k citations), Infectious Diseases (572 citations) and Modeling and Simulation (137 citations). Fred M. Davenport has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Albert V. Hennessy, Thomas Francis, John A. Napier, Arnold S. Monto, Elva Minuse, H. F. Maassab, Frederic B. Askin, R. Rott, Werner Schäfer and J. Drescher. Their work appears in journals such as JAMA, The Journal of Experimental Medicine and Annals of Internal 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.