E. S. Sharpe

35 total papers · 907 total citations
32 papers, 654 citations indexed

About

E. S. Sharpe is a scholar working on Molecular Biology, Insect Science and Ecology. According to data from OpenAlex, E. S. Sharpe has authored 32 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Insect Science and 6 papers in Ecology. Recurrent topics in E. S. Sharpe's work include Insect Resistance and Genetics (13 papers), Bacillus and Francisella bacterial research (8 papers) and Insect and Pesticide Research (7 papers). E. S. Sharpe is often cited by papers focused on Insect Resistance and Genetics (13 papers), Bacillus and Francisella bacterial research (8 papers) and Insect and Pesticide Research (7 papers). E. S. Sharpe collaborates with scholars based in United States. E. S. Sharpe's co-authors include H. J. Koepsell, Frank H. Stodola, Richard W. Jackson, Lee A. Bulla, John N. Aronson, Kenneth W. Nickerson, N. N. Hellman, H. M. Tsuchiya, Grant St. Julian and H. H. Hall and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Applied and Environmental Microbiology.

In The Last Decade

E. S. Sharpe

31 papers receiving 566 citations

Author Peers

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

Author Last Decade Papers Cites
E. S. Sharpe 330 236 204 167 110 32 654
Phimonphan Chuankhayan 317 1.0× 151 0.6× 117 0.6× 95 0.6× 29 0.3× 31 606
Nataša Božić 338 1.0× 393 1.7× 144 0.7× 322 1.9× 97 0.9× 42 715
Jianhua Hao 363 1.1× 251 1.1× 67 0.3× 91 0.5× 25 0.2× 48 674
Ferid Abidi 363 1.1× 213 0.9× 54 0.3× 131 0.8× 69 0.6× 26 653
Peter Rahfeld 508 1.5× 71 0.3× 98 0.5× 112 0.7× 80 0.7× 24 759
María Eugenia Hidalgo‐Lara 345 1.0× 265 1.1× 104 0.5× 164 1.0× 32 0.3× 35 629
Li Pan 498 1.5× 155 0.7× 42 0.2× 197 1.2× 36 0.3× 41 736
Mohammed El Hassouni 356 1.1× 90 0.4× 67 0.3× 249 1.5× 21 0.2× 30 768
Jing Li 266 0.8× 175 0.7× 101 0.5× 79 0.5× 22 0.2× 22 644
Tsutomu Takayanagi 367 1.1× 213 0.9× 118 0.6× 428 2.6× 45 0.4× 49 779

Countries citing papers authored by E. S. Sharpe

Since Specialization
Citations

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

Fields of papers citing papers by E. S. Sharpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. S. Sharpe. 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 E. S. Sharpe. The network helps show where E. S. Sharpe may publish in the future.

Co-authorship network of co-authors of E. S. Sharpe

This figure shows the co-authorship network connecting the top 25 collaborators of E. S. Sharpe. A scholar is included among the top collaborators of E. S. Sharpe 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 E. S. Sharpe. E. S. Sharpe 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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