Countries where authors publish in MMWR Morbidity and Mortality Weekly Report
Since Specialization
Citations
This map shows the geographic impact of research published in MMWR Morbidity and Mortality Weekly Report. 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 published in MMWR Morbidity and Mortality Weekly Report with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MMWR Morbidity and Mortality Weekly Report more than expected).
Fields of papers published in MMWR Morbidity and Mortality Weekly Report
This network shows the impact of papers published in MMWR Morbidity and Mortality Weekly Report. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in MMWR Morbidity and Mortality Weekly Report.
About MMWR Morbidity and Mortality Weekly Report
The 3.1k papers published in MMWR Morbidity and Mortality Weekly Report in the last decades have received a total of 223.4k indexed citations . Papers published in MMWR Morbidity and Mortality Weekly Report usually cover Infectious Diseases (1.1k papers), Health (395 papers), Modeling and Simulation (221 papers), Virology (176 papers) and Epidemiology (967 papers) specifically the topics of Vaccine Coverage and Hesitancy (325 papers), SARS-CoV-2 and COVID-19 Research (252 papers), Viral gastroenteritis research and epidemiology (225 papers), COVID-19 epidemiological studies (221 papers), Respiratory viral infections research (193 papers), Influenza Virus Research Studies (192 papers), Viral Infections and Vectors (172 papers) and Mosquito-borne diseases and control (169 papers). The most active scholars publishing in MMWR Morbidity and Mortality Weekly Report are Ahmed Jamal, Puja Seth, Brian A. King, Rose Anne Rudd, Lawrence Scholl, Lauri Ellen Markowitz, Linda J. Neff, Stephen D. Babb, Mbabazi Kariisa and R. Matthew Gladden.
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.