Kanaga Sabapathy

6.3k total citations · 1 hit paper
96 papers, 5.0k citations indexed

About

Kanaga Sabapathy is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Kanaga Sabapathy has authored 96 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 62 papers in Oncology and 22 papers in Biotechnology. Recurrent topics in Kanaga Sabapathy's work include Cancer-related Molecular Pathways (49 papers), Cancer Research and Treatments (22 papers) and Cell death mechanisms and regulation (17 papers). Kanaga Sabapathy is often cited by papers focused on Cancer-related Molecular Pathways (49 papers), Cancer Research and Treatments (22 papers) and Cell death mechanisms and regulation (17 papers). Kanaga Sabapathy collaborates with scholars based in Singapore, United States and Austria. Kanaga Sabapathy's co-authors include Erwin F. Wagner, David P. Lane, Konrad Hochedlinger, Jean‐Pierre David, Michael Karin, Monowarul Mobin Siddique, Wolfram Jochum, Tuula Kallunki, Oskar Hoffmann and Faina Vikhanskaya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kanaga Sabapathy

92 papers receiving 5.0k citations

Hit Papers

Therapeutic targeting of p53: all mutants are equal, but ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanaga Sabapathy Singapore 40 3.5k 2.1k 1.2k 755 366 96 5.0k
Lindsey D. Mayo United States 28 4.6k 1.3× 2.4k 1.1× 1.5k 1.3× 934 1.2× 274 0.7× 61 6.3k
Kurt Engeland Germany 39 3.7k 1.1× 2.1k 1.0× 845 0.7× 588 0.8× 242 0.7× 73 5.3k
Jordan S. Fridman United States 22 3.6k 1.0× 2.0k 0.9× 679 0.6× 700 0.9× 267 0.7× 41 6.0k
Alexander Zaika United States 34 3.1k 0.9× 2.2k 1.0× 749 0.6× 482 0.6× 504 1.4× 67 4.7k
Oleksi Petrenko United States 24 2.6k 0.7× 1.8k 0.9× 639 0.6× 819 1.1× 355 1.0× 41 4.1k
Gerardo Ferbeyre Canada 43 5.5k 1.6× 2.0k 1.0× 1.3k 1.2× 1.1k 1.4× 267 0.7× 122 7.8k
Jiong Deng China 30 3.3k 0.9× 2.0k 0.9× 1.2k 1.0× 644 0.9× 147 0.4× 61 4.8k
Atul Bedi United States 23 3.2k 0.9× 1.6k 0.8× 2.0k 1.7× 639 0.8× 234 0.6× 29 4.8k
Hayla K. Sluss United States 19 3.7k 1.1× 2.0k 0.9× 744 0.6× 554 0.7× 207 0.6× 25 4.8k
Francesca Bernassola Italy 37 3.0k 0.9× 1.4k 0.7× 647 0.6× 517 0.7× 271 0.7× 71 4.2k

Countries citing papers authored by Kanaga Sabapathy

Since Specialization
Citations

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

Fields of papers citing papers by Kanaga Sabapathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanaga Sabapathy

This figure shows the co-authorship network connecting the top 25 collaborators of Kanaga Sabapathy. A scholar is included among the top collaborators of Kanaga Sabapathy 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 Kanaga Sabapathy. Kanaga Sabapathy 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.
Spiegelberg, Diana, et al.. (2025). Targeting mutant p53: Evaluation of novel anti-p53R175H monoclonal antibodies as diagnostic tools. Scientific Reports. 15(1). 1000–1000.
2.
Wang, Chao, et al.. (2024). Dichotomous transactivation domains contribute to growth inhibitory and promotion functions of TAp73. Proceedings of the National Academy of Sciences. 121(21). e2318591121–e2318591121. 3 indexed citations
3.
Tan, Veronique Kiak Mien, Benita Kiat Tee Tan, Yirong Sim, et al.. (2023). Adipose-enriched peri-tumoral stroma, in contrast to myofibroblast-enriched stroma, prognosticates poorer survival in breast cancers. npj Breast Cancer. 9(1). 84–84. 2 indexed citations
4.
Xie, Min, et al.. (2021). Functional interaction between macrophages and hepatocytes dictate the outcome of liver fibrosis. Life Science Alliance. 4(4). e202000803–e202000803. 4 indexed citations
5.
Kumar, Ramesh & Kanaga Sabapathy. (2019). RNF4—A Paradigm for SUMOylation‐Mediated Ubiquitination. PROTEOMICS. 19(21-22). e1900185–e1900185. 31 indexed citations
6.
Li, Dan, Iqbal Dulloo, & Kanaga Sabapathy. (2018). Context-dependent AMPK activation distinctly regulates TAp73 stability and transcriptional activity. Signal Transduction and Targeted Therapy. 3(1). 20–20. 4 indexed citations
7.
Huang, Mi, Willie Yu, Maude Ardin, et al.. (2017). Genome-scale mutational signatures of aflatoxin in cells, mice, and human tumors. Genome Research. 27(9). 1475–1486. 75 indexed citations
8.
Sabapathy, Kanaga, et al.. (2014). The 6th International p63/p73 Workshop: the C(ancer) and D(evelopmental) roles of p63 and p73. Cell Death and Differentiation. 21(8). 1340–1342. 1 indexed citations
9.
Wang, Qi‐En, Chunhua Han, Bo Zhang, Kanaga Sabapathy, & Altaf A. Wani. (2011). Nucleotide Excision Repair Factor XPC Enhances DNA Damage–Induced Apoptosis by Downregulating the Antiapoptotic Short Isoform of Caspase-2. Cancer Research. 72(3). 666–675. 31 indexed citations
11.
Chua, Alvin Wen Choong, Shu Uin Gan, Che Kang Lim, et al.. (2011). Keloid fibroblasts are more sensitive to Wnt3a treatment in terms of elevated cellular growth and fibronectin expression. Journal of Dermatological Science. 64(3). 199–209. 26 indexed citations
12.
Asano, Takayuki, Yixin Yao, Ronghua Zhang, et al.. (2009). Activator Protein-1 Has an Essential Role in Pancreatic Cancer Cells and Is Regulated by a Novel Akt-Mediated Mechanism. Molecular Cancer Research. 7(5). 745–754. 21 indexed citations
13.
Sabapathy, Kanaga, et al.. (2009). An essential role for p73 in regulating mitotic cell death. Cell Death and Differentiation. 17(5). 787–800. 34 indexed citations
15.
Gough, Daniel J., Kanaga Sabapathy, Robert D. Schreiber, et al.. (2006). A Novel c-Jun-dependent Signal Transduction Pathway Necessary for the Transcriptional Activation of Interferon γ Response Genes. Journal of Biological Chemistry. 282(2). 938–946. 56 indexed citations
16.
Ruan, Di‐Yun, et al.. (2005). Impaired long‐term potentiation in c‐Jun N‐terminal kinase 2‐deficient mice. Journal of Neurochemistry. 93(2). 463–473. 42 indexed citations
17.
Siddique, Monowarul Mobin, et al.. (2004). c-Jun Regulates the Stability and Activity of the p53 Homologue, p73. Journal of Biological Chemistry. 279(43). 44713–44722. 65 indexed citations
18.
Li, Geqiang, Ying Xiang, Kanaga Sabapathy, & Robert H. Silverman. (2004). An Apoptotic Signaling Pathway in the Interferon Antiviral Response Mediated by RNase L and c-Jun NH2-terminal Kinase. Journal of Biological Chemistry. 279(2). 1123–1131. 116 indexed citations
19.
Hochedlinger, Konrad, Erwin F. Wagner, & Kanaga Sabapathy. (2002). Differential effects of JNK1 and JNK2 on signal specific induction of apoptosis. Oncogene. 21(15). 2441–2445. 90 indexed citations
20.
Sabapathy, Kanaga, Tuula Kallunki, Jean‐Pierre David, et al.. (2001). C-Jun Nh2-Terminal Kinase (Jnk)1 and Jnk2 Have Similar and Stage-Dependent Roles in Regulating T Cell Apoptosis and Proliferation. The Journal of Experimental Medicine. 193(3). 317–328. 190 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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