Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Ultrasensitive detection of nucleic acids using deformed graphene channel field effect biosensors
2020332 citationsMichael Taeyoung Hwang, Vahid Faramarzi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Insu 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 Insu Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Insu Park more than expected).
This network shows the impact of papers produced by Insu 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 Insu Park. The network helps show where Insu Park may publish in the future.
Co-authorship network of co-authors of Insu Park
This figure shows the co-authorship network connecting the top 25 collaborators of Insu Park.
A scholar is included among the top collaborators of Insu 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 Insu Park. Insu Park is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Park, Insu, et al.. (2018). The Determinant of Selfless Misuse Intention and the Role of System Resilience under the Context of Disasters. Journal of the Association for Information Systems.1 indexed citations
11.
Park, Insu, et al.. (2017). The Impact of Knowledge Capture and Knowledge Sharing on Employees’ Outcomes.. Americas Conference on Information Systems.1 indexed citations
12.
Kettinger, William J., et al.. (2013). Personalization to New Website Users: The Role of Trust and Culture. Journal of the Association for Information Systems.1 indexed citations
13.
Bui, Son, Insu Park, & William J. Kettinger. (2012). The Mediating Role of Adaptive Personalization in Online Shopping. Americas Conference on Information Systems.1 indexed citations
14.
Park, Insu. (2009). The Study on The Relationship Between Privacy Concerns and Information Systems Effectiveness.. Journal of the Association for Information Systems. 153.4 indexed citations
15.
Park, Insu, et al.. (2008). Korean Elderly Long-term Care Insurance System and Long-term Care Hospital. Journal of the Korean Geriatrics Society. 12(2). 68–73.7 indexed citations
16.
Park, Insu, Raj Sharman, Hengyi Rao, & Shambhu Upadhyaya. (2008). Perceived Risk and Resilience in the Face of Natural Disasters: A Study of Hospital. Journal of the Association for Information Systems. 13.1 indexed citations
17.
Park, Insu, et al.. (2007). The Effect of Spam and Privacy Concerns on E-mail Users' Behavior. 3(1). 39–62.6 indexed citations
18.
Cho, Jeewon & Insu Park. (2007). Transformational Leadership and Information System Effectiveness. Journal of the Association for Information Systems. 85.3 indexed citations
19.
Park, Insu, Won Tae Kim, & Yong Jin Park. (2004). A ubiquitous streaming framework for multimedia broadcasting services with QoS based mobility support. Lecture notes in computer science. 3090. 65–74.2 indexed citations
20.
Lee, Dong Sun, Kwang Soo Lee, Insu Park, & Kit L. Yam. (1994). Analysis of respiration characteristics of low CO2 tolerance produced for designing modified atmosphere package. Food Science and Biotechnology. 3(2). 99–103.9 indexed citations
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.