Emily M. King

61 total papers · 860 total citations
16 papers, 585 citations indexed

About

Emily M. King is a scholar working on Immunology, Molecular Biology and Biotechnology. According to data from OpenAlex, Emily M. King has authored 16 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in Emily M. King's work include Toxin Mechanisms and Immunotoxins (5 papers), Microbial Inactivation Methods (4 papers) and Transgenic Plants and Applications (3 papers). Emily M. King is often cited by papers focused on Toxin Mechanisms and Immunotoxins (5 papers), Microbial Inactivation Methods (4 papers) and Transgenic Plants and Applications (3 papers). Emily M. King collaborates with scholars based in United States, Israel and Australia. Emily M. King's co-authors include Ira Pastan, Ronit Mazor, Julio E. Ayala, Daniel J. Kim, Juyong Brian Kim, Blake T. Aftab, James Kim, Melika Rezaee, Charles M. Rudin and Gregory J. Riggins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Cancer Cell.

In The Last Decade

Emily M. King

15 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
Emily M. King 354 109 93 73 71 16 585
Je-Ho Lee 328 0.9× 122 1.1× 157 1.7× 40 0.5× 66 0.9× 21 647
Leonard Anderson 295 0.8× 71 0.7× 77 0.8× 42 0.6× 70 1.0× 18 579
Sheng‐Ben Liang 420 1.2× 59 0.5× 185 2.0× 65 0.9× 111 1.6× 21 691
Thao Nguyen 428 1.2× 68 0.6× 178 1.9× 53 0.7× 30 0.4× 28 691
Nicole Forster 437 1.2× 97 0.9× 216 2.3× 94 1.3× 27 0.4× 20 637
Ide T 279 0.8× 78 0.7× 112 1.2× 75 1.0× 58 0.8× 15 659
Klas Strååt 207 0.6× 98 0.9× 99 1.1× 45 0.6× 218 3.1× 21 542
Maryam Yousefi 311 0.9× 51 0.5× 182 2.0× 153 2.1× 41 0.6× 21 586
Seema Kantak 356 1.0× 198 1.8× 121 1.3× 72 1.0× 110 1.5× 18 658
Vishnu Hosur 309 0.9× 129 1.2× 151 1.6× 57 0.8× 23 0.3× 25 605

Countries citing papers authored by Emily M. King

Since Specialization
Citations

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

Fields of papers citing papers by Emily M. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily M. King. 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 Emily M. King. The network helps show where Emily M. King may publish in the future.

Co-authorship network of co-authors of Emily M. King

This figure shows the co-authorship network connecting the top 25 collaborators of Emily M. King. A scholar is included among the top collaborators of Emily M. King 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 Emily M. King. Emily M. King 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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