Chan‐Il Park

2.5k total citations
179 papers, 1.9k citations indexed

About

Chan‐Il Park is a scholar working on Immunology, Molecular Biology and Ecology. According to data from OpenAlex, Chan‐Il Park has authored 179 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Immunology, 34 papers in Molecular Biology and 21 papers in Ecology. Recurrent topics in Chan‐Il Park's work include Aquaculture disease management and microbiota (104 papers), Invertebrate Immune Response Mechanisms (29 papers) and Aquaculture Nutrition and Growth (18 papers). Chan‐Il Park is often cited by papers focused on Aquaculture disease management and microbiota (104 papers), Invertebrate Immune Response Mechanisms (29 papers) and Aquaculture Nutrition and Growth (18 papers). Chan‐Il Park collaborates with scholars based in South Korea, United States and Japan. Chan‐Il Park's co-authors include Do‐Hyung Kim, Ju-Won Kim, Young Nyun Park, Thanh Luan Nguyen, Bong-Kyeong Oh, Jinsub Choi, Bo‐Hye Nam, Ikuo Hırono, Takashi Aoki and Hye Jung Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Chan‐Il Park

161 papers receiving 1.9k citations

Peers

Chan‐Il Park
Comparison fields: 5 of 129
  • Immunology 893
  • Molecular Biology 652
  • Aquatic Science 284
  • Cancer Research 173
  • Microbiology 169
Replace Yang Ding with:
Yang Ding China
Liqun Lu China
Chunlin Wang China
Di Peng China
Wenliang Pan China
Antonio Morales Venezuela
Lingli Zhou China
Thidathip Wongsurawat Thailand
Xiao-Qin Xia China
Christian J A Sigrist Switzerland
Yang Ding China View profile →
Citations per field, relative to Chan‐Il Park
Chan‐Il Park · 1×
Citations per year, relative to Chan‐Il Park
Chan‐Il Park · 1×

Countries citing papers authored by Chan‐Il Park

Since Specialization
Citations

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

Fields of papers citing papers by Chan‐Il Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chan‐Il Park

This figure shows the co-authorship network connecting the top 25 collaborators of Chan‐Il Park. A scholar is included among the top collaborators of Chan‐Il 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 Chan‐Il Park. Chan‐Il Park 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
# Work Indexed citations
1 0
2 2
3 2
4 0
5 2
6 5
7 0
8 1
9 1
10 5
11 5
12 0
13 20
14 0
15
The design and implementation of Object-based bioimage matching on a Mobile Device
1
16 2
17
Molecular identification and expression analysis of a natural killer enhancing factor-A from black rockfish Sebastes schlegelii
2
18
Association of Epstein-Barr Virus and Head and Neck Cancer in an Endemic Area
1
19
Effect of Salicylate on DPOAEs and ABRs in Guinea Pigs
1
20 0

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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