Adriana E. Kajon

4.8k citations
101 papers · 3.2k indexed · 2 hit papers · h-index 33

Adriana E. Kajon

100 papers receiving 3.1k citations

Hit Papers

ICTV Virus Taxonomy Profile: Aden...1502016202620192022100200300

Peers

Adriana E. Kajon
Comparison fields: 5 of 100
  • Infectious Diseases 1.9k
  • Genetics 2.2k
  • Epidemiology 1.5k
  • Animal Science and Zoology 241
  • Cardiology and Cardiovascular Medicine 450
Replace Marcela Echavarría with:
Marcela Echavarría Argentina
Akira Nishizono Japan
Lijuan Yang United States
D. Neumann‐Haefelin Germany
Gláucia Paranhos‐Baccalà France
S. Chiba Japan
Masaharu Takahashi Japan
Matthias F. C. Beersma Netherlands
Tsuguto Fujimoto Japan
Shudo Yamazaki Japan
Adriana E. Kajon relative to Marcela Echavarría Argentina Marcela Echavarría's profile →
Citations per field
00.5×
Marcela Echavarría · 1×
Citations per year

Countries citing papers authored by Adriana E. Kajon

Since Specialization
Citations

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

Fields of papers citing papers by Adriana E. Kajon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Adriana E. Kajon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adriana E. Kajon Line = papers co-authored together Adriana E. Kajon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20219
4 20201
5 20201
6 201932
7 20189
8 201715
9 201645
10 201527
11 20124
12 201260
13 200772
14 200462
15 200162
16 199918
17 199644
18 199315
19 199240
20 199022

About Adriana E. Kajon

Adriana E. Kajon is a scholar working on Infectious Diseases, Genetics and Epidemiology, having authored 101 papers that have together received 3.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (78 papers), Viral gastroenteritis research and epidemiology (54 papers), Respiratory viral infections research (35 papers), Viral Infections and Immunology Research (19 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers), Cytomegalovirus and herpesvirus research (8 papers), CRISPR and Genetic Engineering (7 papers) and Animal Virus Infections Studies (6 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Genetics (2.2k citations) and Epidemiology (1.5k citations). Adriana E. Kajon has collaborated with scholars based in United States, Argentina and Sweden. Frequent co-authors include Joseph P. Lynch, Göran Wadell, David Metzgar, Dean D. Erdman, Kevin L. Russell, Kirsten St. George, David Schnurr, Katherine R. Spindler, Daryl M. Lamson and Xiaoyan Lu. Their work appears in journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

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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