Jeffrey G. Shaffer

3.4k total citations
44 papers, 643 citations indexed

About

Jeffrey G. Shaffer is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Jeffrey G. Shaffer has authored 44 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 15 papers in Public Health, Environmental and Occupational Health and 10 papers in Epidemiology. Recurrent topics in Jeffrey G. Shaffer's work include Viral Infections and Outbreaks Research (17 papers), Mosquito-borne diseases and control (11 papers) and Disaster Response and Management (10 papers). Jeffrey G. Shaffer is often cited by papers focused on Viral Infections and Outbreaks Research (17 papers), Mosquito-borne diseases and control (11 papers) and Disaster Response and Management (10 papers). Jeffrey G. Shaffer collaborates with scholars based in United States, Mali and Sierra Leone. Jeffrey G. Shaffer's co-authors include Donald S. Grant, Robert F. Garry, John S. Schieffelin, Augustine Goba, Lina Moses, Frances J. Mather, Élisabeth Fichet-Calvet, Mambu Momoh, James L. N. Wood and Melissa Leach and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jeffrey G. Shaffer

40 papers receiving 625 citations

Peers

Jeffrey G. Shaffer
Comparison fields: 5 of 99
  • Infectious Diseases 310
  • Public Health, Environmental and Occupational Health 180
  • Emergency Medical Services 121
  • Epidemiology 114
  • Molecular Biology 60
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Citations per field, relative to Jeffrey G. Shaffer
Jeffrey G. Shaffer · 1×
Citations per year, relative to Jeffrey G. Shaffer
Jeffrey G. Shaffer · 1×

Countries citing papers authored by Jeffrey G. Shaffer

Since Specialization
Citations

This map shows the geographic impact of Jeffrey G. Shaffer'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 Jeffrey G. Shaffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey G. Shaffer more than expected).

Fields of papers citing papers by Jeffrey G. Shaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey G. Shaffer. 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 Jeffrey G. Shaffer. The network helps show where Jeffrey G. Shaffer may publish in the future.

Co-authorship network of co-authors of Jeffrey G. Shaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey G. Shaffer. A scholar is included among the top collaborators of Jeffrey G. Shaffer 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 Jeffrey G. Shaffer. Jeffrey G. Shaffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 0
5 7
6 14
7 2
8 4
9 2
10 10
11 22
12 19
13 11
14 15
15 14
16 20
17 23
18 45
19 89
20 36

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.

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