Edward M. Kennedy

4.6k citations
54 papers · 3.3k indexed · 1 hit paper · h-index 30
Topics
CRISPR and Genetic Engineering (12 papers)Virus-based gene therapy research (11 papers)RNA Interference and Gene Delivery (11 papers)

In The Last Decade

Edward M. Kennedy

53 papers receiving 3.2k citations

Hit Papers

N6 -Methyladenosine in Flaviviridae Viral RNA Genomes Reg...20162026201920222016100200300

Peers

Edward M. Kennedy
Comparison fields: 5 of 123
  • Molecular Biology 2.5k
  • Cancer Research 637
  • Epidemiology 480
  • Immunology 410
  • Genetics 389
Replace Judd F. Hultquist with:
Judd F. Hultquist United States
Giuseppe Ciaramella United States
Naoko Misawa Japan
Jon Cohen United States
William M. Rehrauer United States
Angela Ciuffi Switzerland
Estefanı́a Fernández United States
Eric Van Dyck Belgium
Jason T. Kimata United States
Anna Gazumyan United States
Edward M. Kennedy relative to Judd F. Hultquist United States Judd F. Hultquist's profile →
Citations per field
00.5×6.6×
Judd F. Hultquist · 1×
Citations per year

Countries citing papers authored by Edward M. Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Edward M. Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward M. Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Edward M. Kennedy. A scholar is included among the top collaborators of Edward M. Kennedy 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 Edward M. Kennedy. Edward M. Kennedy 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
#WorkIndexed citations
1 0
2 2
3 50
4 54
5 20
6 53
7 18
8 175
9 109
10 71
11 307
12 47
13 68
14 48
15 194
16 43
17 29
18 10
19 86
20 52

About Edward M. Kennedy

Edward M. Kennedy is a scholar working on Virology, Business and International Management and Infectious Diseases, having authored 54 papers that have together received 3.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Virus-based gene therapy research (11 papers) and RNA Interference and Gene Delivery (11 papers). The work is most often cited by research in Virology (322 citations), Business and International Management (108 citations) and Cancer Research (637 citations). Edward M. Kennedy has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Bryan R. Cullen, Hal P. Bogerd, Anand Kornepati, Kevin Tsai, David Courtney, Adam W. Whisnant, Omar Flores, Stacy M. Horner, Nandan S. Gokhale and Raymond F. Schinazi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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