I Kwan

971 citations
6 papers · 858 · 1 hit paper · h-index 6

Impact in

    • NF-κB Signaling Pathways
  • Immunology top 5%
    • Immune Response and Inflammation
    • interferon and immune responses
    • Immune Cell Function and Interaction

Papers in

    • NF-κB Signaling Pathways 4
    • Immune Response and Inflammation 3
    • interferon and immune responses 3

I Kwan

6 papers receiving 844 citations

I Kwan's Hit Papers

Characterization of a functional NF-kappa B site in the human interleukin 1 beta promoter: evidence for a positive autoregulatory loop. 1993 · 521 citations
5210+11+22Years since publication100200300400500

Peers

I Kwan
Comparison fields: 5 of 80
  • Cancer Research 301
  • Immunology 407
  • Molecular Biology 346
  • Oncology 123
  • Neurology 37
Replace N Pépin with:
N Pépin Canada
H. Nguyen Belgium
U Dendorfer Germany
Gareth Sully United Kingdom
P.A. Bäuerle Germany
R Remy Switzerland
Andrea J. Lengi United States
Kai‐Li He China
Rosalba Moraca Italy
Trevelyan R. Menheniott Australia
I Kwan relative to N Pépin Canada N Pépin's profile →
Citations per field
00.5×1.5×
N Pépin · 1×
Citations per year

Countries citing papers authored by I Kwan

Since Specialization
Citations

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

Fields of papers citing papers by I Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I Kwan, 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 I Kwan Line = papers co-authored together I Kwan links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Characterization of a functional NF-kappa B site in the human interleukin 1 beta promoter: evidence for a positive autoregulatory loop.
Hit paper breakdown →
1993521
2 1993156
3 199480
4
Disruption of I kappa B alpha regulation by antisense RNA expression leads to malignant transformation.
199455
5 201232
6 199614

About I Kwan

I Kwan is a scholar working on Cancer Research, Immunology, Oncology, Surgery and Molecular Biology, having authored 6 papers that have together received 858 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (3 papers), interferon and immune responses (3 papers), Cell Adhesion Molecules Research (1 paper), Xenotransplantation and immune response (1 paper), Cancer Cells and Metastasis (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Cancer Research (301 citations), Immunology (407 citations), Molecular Biology (346 citations), Oncology (123 citations) and Neurology (37 citations). I Kwan has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include John Hiscott, N Pépin, Anne Roulston, Judith Lacoste, Mario D’Addario, G. Bensi, James J. Marois, H. Nguyen, Matthew J. Fenton and Hannah Nguyen. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology, Oncogene, Molecular Reproduction and Development and PubMed.

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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