Emily M. King

774 citations
6 papers · 363 indexed · 1 hit paper · h-index 4
Topics
Virus-based gene therapy research (3 papers)RNA modifications and cancer (2 papers)T-cell and Retrovirus Studies (2 papers)
Partner nations
United States

In The Last Decade

Emily M. King

5 papers receiving 359 citations

Hit Papers

Directed evolution of a family of AAV capsid variants ena...2021202620222024202150100150200250

Peers

Emily M. King
Comparison fields: 5 of 57
  • Molecular Biology 304
  • Genetics 191
  • Cardiology and Cardiovascular Medicine 61
  • Oncology 28
  • Physiology 24
Replace Alexandra C. Stanton with:
Alexandra C. Stanton United States
Simon Ye United States
Krystynne A Leacock United States
Naftali Horwitz United States
Stacy A. Maitland United States
Jackson Winter United States
Valérie Risson France
Nachiket Pendse United States
Erin Hennessey United States
Rossano Butcher United States
Emily M. King relative to Alexandra C. Stanton United States Alexandra C. Stanton's profile →
Citations per field
00.5×1.5×
Alexandra C. Stanton · 1×
Citations per year

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

6 of 6 papers shown
#WorkIndexed citations
1 1
2 3
3 33
4 0
5 34
6
Directed evolution of a family of AAV capsid variants enabling potent muscle-directed gene delivery across speciesbreakdown →
292

About Emily M. King

Emily M. King is a scholar working on Genetics, Immunology and Molecular Biology, having authored 6 papers that have together received 363 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), RNA modifications and cancer (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Genetics (191 citations), Aging (11 citations) and Business and International Management (9 citations). Emily M. King has collaborated with scholars based in United States. Frequent co-authors include Simon Ye, Kim A. Lagerborg, Mohammadsharif Tabebordbar, Alexandra C. Stanton, Pardis C. Sabeti, Amy J. Wagers, Behzad Moghadaszadeh, Jeffrey J. Widrick, Kathleen A. Messemer and Naftali Horwitz. Their work appears in journals such as Cell, Nature Biotechnology and Journal of Virology.

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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