The COVID-19 Pandemic and the $16 Trillion Virus
Impact in
Classified as
- Authors
- David CutlerLawrence H. Summers
- Journal
- JAMA
In The Last Decade
doi.org/10.1001/jama.2020.19759 →Countries where authors are citing The COVID-19 Pandemic and the $16 Trillion Virus
This map shows the geographic impact of The COVID-19 Pandemic and the $16 Trillion Virus. 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 The COVID-19 Pandemic and the $16 Trillion Virus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The COVID-19 Pandemic and the $16 Trillion Virus more than expected).
Fields of papers citing The COVID-19 Pandemic and the $16 Trillion Virus
This network shows the impact of The COVID-19 Pandemic and the $16 Trillion Virus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The COVID-19 Pandemic and the $16 Trillion Virus.
About The COVID-19 Pandemic and the $16 Trillion Virus
This paper, published in 2020, received 475 indexed citations . Written by David Cutler and Lawrence H. Summers covering the research area of General Health Professions, Oncology and Organizational Behavior and Human Resource Management. It is primarily cited by scholars working on Infectious Diseases (130 citations), Modeling and Simulation (111 citations), Economics and Econometrics (86 citations), Health (54 citations) and Neurology (53 citations). Published in JAMA.
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.
This paper is also available at doi.org/10.1001/jama.2020.19759.