Arunasalam Navaraj

749 total citations
16 papers, 466 citations indexed

About

Arunasalam Navaraj is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Arunasalam Navaraj has authored 16 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Oncology and 3 papers in Biotechnology. Recurrent topics in Arunasalam Navaraj's work include Cancer-related Molecular Pathways (6 papers), Cell death mechanisms and regulation (4 papers) and Cancer Research and Treatments (3 papers). Arunasalam Navaraj is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Cell death mechanisms and regulation (4 papers) and Cancer Research and Treatments (3 papers). Arunasalam Navaraj collaborates with scholars based in United States, Japan and India. Arunasalam Navaraj's co-authors include Wafik S. El‐Deiry, David T. Dicker, Elizabeth Matthew, Wensheng Yang, Wenge Wang, Nathan G. Dolloff, Sudhakar Baluchamy, Bayar Thimmapaya, Joshua E. Allen and Charles D. Smith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Arunasalam Navaraj

14 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arunasalam Navaraj United States 12 337 219 77 74 54 16 466
Shusil K. Pandit Netherlands 7 359 1.1× 186 0.8× 86 1.1× 115 1.6× 45 0.8× 9 546
Mark Wasner Germany 8 390 1.2× 213 1.0× 81 1.1× 65 0.9× 44 0.8× 8 485
Nomeda Girnius United States 9 351 1.0× 315 1.4× 129 1.7× 48 0.6× 54 1.0× 14 573
Timothy J. Stanek United States 10 458 1.4× 217 1.0× 93 1.2× 54 0.7× 24 0.4× 13 545
Chenming Wu China 13 563 1.7× 237 1.1× 101 1.3× 77 1.0× 67 1.2× 22 658
Ariane Scoumanne United States 13 614 1.8× 227 1.0× 103 1.3× 41 0.6× 63 1.2× 16 753
De-Chang Wu China 9 455 1.4× 170 0.8× 103 1.3× 49 0.7× 40 0.7× 21 568
Sk. Kayum Alam United States 12 312 0.9× 164 0.7× 125 1.6× 53 0.7× 60 1.1× 18 461
Joy Hendley Australia 8 339 1.0× 313 1.4× 75 1.0× 57 0.8× 32 0.6× 9 466
Marli E. Ebus Netherlands 12 452 1.3× 243 1.1× 162 2.1× 71 1.0× 35 0.6× 14 681

Countries citing papers authored by Arunasalam Navaraj

Since Specialization
Citations

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

Fields of papers citing papers by Arunasalam Navaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunasalam Navaraj

This figure shows the co-authorship network connecting the top 25 collaborators of Arunasalam Navaraj. A scholar is included among the top collaborators of Arunasalam Navaraj 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 Arunasalam Navaraj. Arunasalam Navaraj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Carlsen, Lindsey, Kelsey E. Huntington, Vida Tajiknia, et al.. (2023). Abstract 6706: Co-culture of circulating tumor cells (CTCs)-derived 3D organoids and autologous cytotoxic CD8+ T cells: A new functional precision oncology platform. Cancer Research. 83(7_Supplement). 6706–6706.
2.
Jhaveri, Aakash, Lanlan Zhou, Marie D. Ralff, et al.. (2021). Combination of ONC201 and TLY012 induces selective, synergistic apoptosis in vitro and significantly delays PDAC xenograft growth in vivo. Cancer Biology & Therapy. 22(10-12). 607–618. 11 indexed citations
3.
Şahin, İlyas, Shengliang Zhang, Arunasalam Navaraj, et al.. (2020). AMG-232 sensitizes high MDM2-expressing tumor cells to T-cell-mediated killing. Cell Death Discovery. 6(1). 57–57. 56 indexed citations
4.
Távora, Fábio, Lanlan Zhou, Ali Amin, et al.. (2020). Abstract 1836: ONC201 shows synergistic effect with the androgen receptor AR-inhibitor darotulamide in prostate cancer models. Cancer Research. 80(16_Supplement). 1836–1836.
5.
Navaraj, Arunasalam, et al.. (2016). Targeting of Chk2 as a countermeasure to dose-limiting toxicity triggered by topoisomerase-II (TOP2) poisons. Oncotarget. 7(20). 29520–29530. 4 indexed citations
6.
Finnberg, Niklas K., Arunasalam Navaraj, Krystle A. Lang Kuhs, et al.. (2015). Agonists of the TRAIL Death Receptor DR5 Sensitize Intestinal Stem Cells to Chemotherapy-Induced Cell Death and Trigger Gastrointestinal Toxicity. Cancer Research. 76(3). 700–712. 14 indexed citations
7.
Wang, Wenge, Jean‐Nicolas Gallant, Sharyn I. Katz, et al.. (2011). Quinacrine sensitizes hepatocellular carcinoma cells to TRAIL and chemotherapeutic agents. Cancer Biology & Therapy. 12(3). 229–238. 44 indexed citations
8.
Gallant, Jean‐Nicolas, Joshua E. Allen, Charles D. Smith, et al.. (2011). Quinacrine synergizes with 5-fluorouracil and other therapies in colorectal cancer. Cancer Biology & Therapy. 12(3). 239–251. 38 indexed citations
9.
Matthew, Elizabeth, Lori S. Hart, Aristotelis Astrinidis, et al.. (2009). The p53 target Plk2 interacts with TSC proteins impacting mTOR signaling, tumor growth, and chemosensitivity under hypoxic conditions. Cell Cycle. 8(24). 4168–4175. 54 indexed citations
10.
Navaraj, Arunasalam, Niklas K. Finnberg, David T. Dicker, et al.. (2009). Reduced cell death, invasive and angiogenic features conferred by BRCA1-deficiency in mammary epithelial cells transformed with H-Ras. Cancer Biology & Therapy. 8(24). 2417–2444. 13 indexed citations
11.
Matthew, Elizabeth, Tim J. Yen, David T. Dicker, et al.. (2007). Replication Stress, Defective S-phase Checkpoint and Increased Death in Plk2-Deficient Human Cancer Cells. Cell Cycle. 6(20). 2571–2578. 52 indexed citations
12.
Kim, Seok‐Hyun, Hiroshi Nakagawa, Arunasalam Navaraj, et al.. (2006). Tumorigenic Conversion of Primary Human Esophageal Epithelial Cells Using Oncogene Combinations in the Absence of Exogenous Ras. Cancer Research. 66(21). 10415–10424. 34 indexed citations
13.
Baluchamy, Sudhakar, et al.. (2006). Relationship between E1A binding to cellular proteins, c-myc activation and S-phase induction. Oncogene. 26(5). 781–787. 17 indexed citations
14.
Yang, Wensheng, E. Robert McDonald, Arunasalam Navaraj, et al.. (2006). CARPs Are Ubiquitin Ligases That Promote MDM2-independent p53 and Phospho-p53ser20 Degradation. Journal of Biological Chemistry. 282(5). 3273–3281. 65 indexed citations
15.
Navaraj, Arunasalam, Toshio Mori, & Wafik S. El‐Deiry. (2005). Cooperation between BRCA1 and p53 in repair of cyclobutane pyrimidine dimers. Cancer Biology & Therapy. 4(12). 1409–1414. 23 indexed citations
16.
Baluchamy, Sudhakar, Hasan Rajabi, Rama Thimmapaya, Arunasalam Navaraj, & Bayar Thimmapaya. (2003). Repression of c-Myc and inhibition of G 1 exit in cells conditionally overexpressing p300 that is not dependent on its histone acetyltransferase activity. Proceedings of the National Academy of Sciences. 100(16). 9524–9529. 41 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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