Jeffrey G. Shaffer

120 total papers · 3.3k total citations
43 papers, 632 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 43 papers receiving a total of 632 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 Malaria Research and Control (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 Malaria Research and Control (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, Melissa Leach, Élisabeth Fichet-Calvet, Andrew A. Cunningham, James L. N. Wood and Giovanni Lo Iacono 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 613 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeffrey G. Shaffer 310 180 121 114 59 43 632
Rafael Veiga 108 0.3× 81 0.5× 65 0.5× 73 0.6× 34 0.6× 33 605
Effie Gournis 341 1.1× 93 0.5× 88 0.7× 217 1.9× 20 0.3× 27 742
Hani Jokhdar 286 0.9× 124 0.7× 32 0.3× 133 1.2× 24 0.4× 38 715
Bani Jolly 134 0.4× 130 0.7× 36 0.3× 61 0.5× 51 0.9× 54 662
Kalliopi Theodoridou 238 0.8× 79 0.4× 27 0.2× 352 3.1× 46 0.8× 38 736
Elizabeth Rea 276 0.9× 51 0.3× 48 0.4× 194 1.7× 25 0.4× 28 606
Naho Tsuchiya 214 0.7× 101 0.6× 70 0.6× 190 1.7× 10 0.2× 55 761
Yihua Xu 158 0.5× 40 0.2× 55 0.5× 193 1.7× 78 1.3× 44 667
Manickam Ponnaiah 356 1.1× 154 0.9× 16 0.1× 111 1.0× 30 0.5× 72 685
H Rolka 233 0.8× 91 0.5× 68 0.6× 203 1.8× 40 0.7× 25 695

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

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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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