Annsea Park

8.5k citations
9 papers · 824 indexed · 1 hit paper · h-index 9
Topics
CRISPR and Genetic Engineering (3 papers)RNA and protein synthesis mechanisms (3 papers)Biofuel production and bioconversion (2 papers)
Partner nations
United StatesSouth Korea

In The Last Decade

Annsea Park

9 papers receiving 814 citations

Hit Papers

Type I and Type III Interferons – Induction, Signaling, E...20202026202220242020100200300400500

Peers

Annsea Park
Comparison fields: 5 of 87
  • Infectious Diseases 433
  • Molecular Biology 311
  • Immunology 233
  • Neurology 135
  • Epidemiology 85
Replace Juan Min with:
Juan Min China
Maren de Vries United States
Patricio Doldan Germany
Ethan J. Fritch United States
Camille R. Simoneau United States
Mathieu Hubert France
Simon Danisch Germany
Caitlin E. Edwards United States
Jian-Bao Han China
Laura Martin‐Sancho United States
Annsea Park relative to Juan Min China Juan Min's profile →
Citations per field
00.5×1.5×2.2×
Juan Min · 1×
Citations per year

Countries citing papers authored by Annsea Park

Since Specialization
Citations

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

Fields of papers citing papers by Annsea Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annsea Park. 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 Annsea Park. The network helps show where Annsea Park may publish in the future.

Co-authorship network of co-authors of Annsea Park

This figure shows the co-authorship network connecting the top 25 collaborators of Annsea Park. A scholar is included among the top collaborators of Annsea Park 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 Annsea Park. Annsea Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 25
2 13
3 11
4
Type I and Type III Interferons – Induction, Signaling, Evasion, and Application to Combat COVID-19breakdown →
585
5 36
6 42
7 10
8 50
9 52

About Annsea Park

Annsea Park is a scholar working on Molecular Biology, Plant Science and Infectious Diseases, having authored 9 papers that have together received 824 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (3 papers) and Biofuel production and bioconversion (2 papers). The work is most often cited by research in Infectious Diseases (433 citations), Immunology (233 citations) and Neurology (135 citations). Annsea Park has collaborated with scholars based in United States and South Korea. Frequent co-authors include Akiko Iwasaki, J.H.D. Cate, Steven E. Brenner, Jack F. Kirsch, Yong‐Su Jin, Raíssa Estrela, Soo Rin Kim, Xin Li, Adam D. Nitido and Elizabeth Montabana. Their work appears in journals such as Neuron, Frontiers in Immunology and Cell Host & Microbe.

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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