Center for Disease Dynamics, Economics & Policy
Impact in
-
- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Use and Resistance 98
-
- Antibiotic Resistance in Bacteria 27
- Top scholars
- Ramanan LaxminarayanThomas P. Van BoeckelSimon A. LevinEili Y. KleinSumanth GandraBryan Thomas GrenfellMarius GilbertCharles H. Brower
- Journals
- Infection Control and Hospital Epidemiology (22 papers)PLoS ONE (12 papers)Open Forum Infectious Diseases (12 papers)Clinical Infectious Diseases (11 papers)The Lancet (9 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Center for Disease Dynamics, Economics & Policy
305 papers receiving 26.8k citations
Peers
Comparison fields: 5 of 206
- Applied Microbiology and Biotechnology 7.5k
- Molecular Medicine 3.5k
- Pollution 3.2k
- Infectious Diseases 2k
- Public Health, Environmental and Occupational Health 2.6k
Countries citing scholars working at Center for Disease Dynamics, Economics & Policy
This map shows the geographic impact of research produced by authors working at Center for Disease Dynamics, Economics & Policy. 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 papers produced at Center for Disease Dynamics, Economics & Policy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Center for Disease Dynamics, Economics & Policy more than expected).
Fields of papers published by authors at Center for Disease Dynamics, Economics & Policy
This network shows the impact of papers affiliated with Center for Disease Dynamics, Economics & Policy at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Center for Disease Dynamics, Economics & Policy at the time of their publication.
About Center for Disease Dynamics, Economics & Policy
In recent decades, authors affiliated with Center for Disease Dynamics, Economics & Policy have published 311 papers, which have received a total of 26.8k indexed citations . Scholars at this organization have produced 98 papers in Applied Microbiology and Biotechnology, 27 papers in Molecular Medicine, 53 papers in Infectious Diseases, 16 papers in Health and 8 papers in Modeling and Simulation on the topics of Antibiotic Use and Resistance (98 papers), Antibiotic Resistance in Bacteria (27 papers), Infection Control in Healthcare (21 papers), Malaria Research and Control (21 papers), Vaccine Coverage and Hesitancy (15 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Respiratory viral infections research (11 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). Their work is cited by papers focused on Applied Microbiology and Biotechnology (7.5k citations), Molecular Medicine (3.5k citations), Pollution (3.2k citations), Infectious Diseases (2k citations) and Public Health, Environmental and Occupational Health (2.6k citations). Authors at Center for Disease Dynamics, Economics & Policy collaborate with scholars in United States, India and United Kingdom and have published in prestigious journals including Infection Control and Hospital Epidemiology, PLoS ONE, Open Forum Infectious Diseases, Clinical Infectious Diseases and The Lancet. Some of Center for Disease Dynamics, Economics & Policy's most productive authors include Ramanan Laxminarayan, Thomas P. Van Boeckel, Simon A. Levin, Eili Y. Klein, Sumanth Gandra, Bryan Thomas Grenfell, Marius Gilbert, Charles H. Brower, Suraj Pant and Timothy P. Robinson.
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.