K A Won

1.2k total citations
9 papers, 984 citations indexed

About

K A Won is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, K A Won has authored 9 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in K A Won's work include Liver Disease Diagnosis and Treatment (3 papers), interferon and immune responses (2 papers) and Immune Response and Inflammation (2 papers). K A Won is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), interferon and immune responses (2 papers) and Immune Response and Inflammation (2 papers). K A Won collaborates with scholars based in United States. K A Won's co-authors include Steven I. Reed, G P Jahreis, Michael Gilman, David Beach, Yue Xiong, Karen R. Prowse, Heinz Baumann, Sanja Petrusevska-Marinkovic, H Baumann and Heinz Baumann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

K A Won

9 papers receiving 967 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K A Won United States 8 612 559 231 168 96 9 984
Gilbert Scott United States 7 574 0.9× 360 0.6× 218 0.9× 247 1.5× 63 0.7× 9 919
Sarah Gledhill United Kingdom 11 567 0.9× 597 1.1× 82 0.4× 72 0.4× 108 1.1× 14 1.3k
Anne Vézina Canada 17 504 0.8× 219 0.4× 138 0.6× 98 0.6× 130 1.4× 18 927
Nobuyasu Komazawa Japan 7 498 0.8× 414 0.7× 82 0.4× 204 1.2× 71 0.7× 7 908
Toshihide Akasaka Japan 19 346 0.6× 235 0.4× 203 0.9× 95 0.6× 141 1.5× 72 1.0k
Patrice Lassus France 13 965 1.6× 420 0.8× 148 0.6× 191 1.1× 71 0.7× 22 1.3k
Sumathi Muthukkumar United States 11 697 1.1× 221 0.4× 101 0.4× 179 1.1× 65 0.7× 14 964
Deborah J. Mays United States 13 1.1k 1.7× 717 1.3× 173 0.7× 143 0.9× 101 1.1× 14 1.5k
Kirill V. Rosen Canada 19 875 1.4× 330 0.6× 192 0.8× 130 0.8× 52 0.5× 37 1.2k
Mirella Lazarov United States 8 442 0.7× 259 0.5× 120 0.5× 194 1.2× 73 0.8× 12 838

Countries citing papers authored by K A Won

Since Specialization
Citations

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

Fields of papers citing papers by K A Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K A Won. 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 K A Won. The network helps show where K A Won may publish in the future.

Co-authorship network of co-authors of K A Won

This figure shows the co-authorship network connecting the top 25 collaborators of K A Won. A scholar is included among the top collaborators of K A Won 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 K A Won. K A Won 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
1.
Baumann, Heinz, K A Won, Vicky Jones, et al.. (2007). The Action of Interleukin 6 and Leukaemia Inhibitory Factor on Liver Cells. Novartis Foundation symposium. 167. 100–124. 3 indexed citations
2.
Won, K A & Steven I. Reed. (1996). Activation of cyclin E/CDK2 is coupled to site-specific autophosphorylation and ubiquitin-dependent degradation of cyclin E.. The EMBO Journal. 15(16). 4182–4193. 299 indexed citations
3.
Won, K A, Yue Xiong, David Beach, & Michael Gilman. (1992). Growth-regulated expression of D-type cyclin genes in human diploid fibroblasts.. Proceedings of the National Academy of Sciences. 89(20). 9910–9914. 250 indexed citations
4.
Won, K A & Heinz Baumann. (1991). NF-AB, a liver-specific and cytokine-inducible nuclear factor that interacts with the interleukin-1 response element of the rat alpha 1-acid glycoprotein gene.. Molecular and Cellular Biology. 11(6). 3001–3008. 15 indexed citations
5.
Baumann, Heinz, G P Jahreis, Karen K. Morella, et al.. (1991). Transcriptional regulation through cytokine and glucocorticoid response elements of rat acute phase plasma protein genes by C/EBP and JunB.. Journal of Biological Chemistry. 266(30). 20390–20399. 62 indexed citations
6.
Won, K A & Heinz Baumann. (1990). The cytokine response element of the rat alpha 1-acid glycoprotein gene is a complex of several interacting regulatory sequences.. Molecular and Cellular Biology. 10(8). 3965–3978. 77 indexed citations
7.
Baumann, H, Karen R. Prowse, Sanja Petrusevska-Marinkovic, K A Won, & G P Jahreis. (1989). Stimulation of Hepatic Acute Phase Response by Cytokines and Glucocorticoidsa. Annals of the New York Academy of Sciences. 557(1). 280–296. 212 indexed citations
8.
Baumann, Heinz, K A Won, & G P Jahreis. (1989). Human hepatocyte-stimulating factor-III and interleukin-6 are structurally and immunologically distinct but regulate the production of the same acute phase plasma proteins. Journal of Biological Chemistry. 264(14). 8046–8051. 56 indexed citations
9.
Baumann, Heinz, et al.. (1988). Regulation of acute phase protein genes by hepatocyte-stimulating factors, monokines and glucocorticoids.. PubMed. 13(6). 277–92. 10 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.

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