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.
A protein kinase involved in the regulation of inflammatory cytokine biosynthesis
19942.9k citationsJohn C. Lee, Jeffrey T. Laydon et al.Natureprofile →
p38 MAP kinases: key signalling molecules as therapeutic targets for inflammatory diseases
This map shows the geographic impact of John C. Lee'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 John C. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Lee more than expected).
This network shows the impact of papers produced by John C. Lee. 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 John C. Lee. The network helps show where John C. Lee may publish in the future.
Co-authorship network of co-authors of John C. Lee
This figure shows the co-authorship network connecting the top 25 collaborators of John C. Lee.
A scholar is included among the top collaborators of John C. Lee 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 John C. Lee. John C. Lee 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
1.
Lee, John C., et al.. (2020). Limit surface approach defining success criteria with uncertainties in level 1 PSA. Scholarworks@UNIST (Ulsan National Institute of Science and Technology).
2.
Betzler, Benjamin R., et al.. (2012). A Constrained Sampling Methodology for TRISO Microspheres with Continuous Distributions of Diameters. Transactions of the American Nuclear Society. 107. 516–518.2 indexed citations
3.
Ji, Wei, et al.. (2007). Coupled nuclear-thermal-hydraulics analysis for VHTR. Transactions of the American Nuclear Society. 96. 580–581.5 indexed citations
4.
Martin, William R., et al.. (2006). Preliminary analysis of VHTR decay heat source. Transactions of the American Nuclear Society. 95(1). 445–446.1 indexed citations
5.
Lee, John C., et al.. (2006). Simulation of ZPR-6 assembly 7 with MCNP5. Transactions of the American Nuclear Society. 95(1). 734–735.
6.
Conlin, Jeremy, Wei Ji, John C. Lee, & William R. Martin. (2005). Pseudo material construct for coupled neutronic-thermal-hydraulic analysis of VHTGR. Transactions of the American Nuclear Society. 92. 225–227.37 indexed citations
7.
Ji, Wei, Jeremy Conlin, William R. Martin, John C. Lee, & Forrest B. Brown. (2005). Explicit modeling of particle fuel for the very-high temperature gas-cooled reactor. Transactions of the American Nuclear Society. 92. 236–238.15 indexed citations
8.
Lee, John C., et al.. (2005). LWR Equilibrium Cycle Search Methodology for Global Fuel Cycle Analysis. Transactions of the American Nuclear Society. 93(1). 622–623.
9.
Ji, Wei, et al.. (2005). Neutronic analysis to support validation of safety analysis codes for the VHTR. Transactions of the American Nuclear Society. 93(1). 931–933.2 indexed citations
10.
Ji, Wei, Jeremy Conlin, William R. Martin, & John C. Lee. (2004). Reactor physics analysis of the VHTGR core. Transactions of the American Nuclear Society. 91. 556–558.7 indexed citations
Lee, John C., Jeffrey T. Laydon, Peter McDonnell, et al.. (1994). A protein kinase involved in the regulation of inflammatory cytokine biosynthesis. Nature. 372(6508). 739–746.2949 indexed citations breakdown →
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.