Nikhil Chari

600 total citations
10 papers, 484 citations indexed

About

Nikhil Chari is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Nikhil Chari has authored 10 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Nikhil Chari's work include Cancer-related Molecular Pathways (7 papers), Cell death mechanisms and regulation (4 papers) and Hedgehog Signaling Pathway Studies (4 papers). Nikhil Chari is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Cell death mechanisms and regulation (4 papers) and Hedgehog Signaling Pathway Studies (4 papers). Nikhil Chari collaborates with scholars based in United States, Sweden and China. Nikhil Chari's co-authors include Timothy J. McDonnell, Rebecca L. Bigelow, Kevin B. Spurgers, Sangjun Lee, Rune Toftgård, Dennis R. Roop, Anne Birgitte Undén, Emily Y. Jen, Maryse Delehedde and L. Jeffrey Medeiros and has published in prestigious journals such as Journal of Biological Chemistry, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

Nikhil Chari

10 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nikhil Chari United States	7	397	157	74	52	45	10	484
Marilyn McLeod Canada	6	238 0.6×	57 0.4×	95 1.3×	22 0.4×	37 0.8×	8	411
R.C.K. Jordan Canada	8	282 0.7×	100 0.6×	19 0.3×	93 1.8×	24 0.5×	9	446
Öonagh Loughran United Kingdom	7	308 0.8×	251 1.6×	28 0.4×	89 1.7×	13 0.3×	8	464
Marie Kannius‐Janson Sweden	11	288 0.7×	116 0.7×	67 0.9×	70 1.3×	19 0.4×	14	404
Tetsuyo ODAJIMA Japan	12	272 0.7×	178 1.1×	16 0.2×	66 1.3×	9 0.2×	32	471
Teresa P. Raposo United Kingdom	13	228 0.6×	197 1.3×	74 1.0×	93 1.8×	5 0.1×	24	555
Ryunosuke Muro Japan	14	282 0.7×	164 1.0×	37 0.5×	59 1.1×	11 0.2×	25	616
Ken Hayashi Japan	12	329 0.8×	111 0.7×	110 1.5×	40 0.8×	4 0.1×	29	499
Shinichi Uchikawa Japan	9	194 0.5×	100 0.6×	12 0.2×	45 0.9×	11 0.2×	12	345
Mitsuo Itakura Japan	9	155 0.4×	176 1.1×	43 0.6×	45 0.9×	54 1.2×	15	378

Countries citing papers authored by Nikhil Chari

Since Specialization

Citations

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

Fields of papers citing papers by Nikhil Chari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Chari

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

All Works

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10 of 10 papers shown

Chari, Nikhil, Cristina Ivan, Jinzhong Li, et al.. (2019). Disruption of TP63-miR-27a* Feedback Loop by Mutant TP53 in Head and Neck Cancer. JNCI Journal of the National Cancer Institute. 112(3). 266–277. 6 indexed citations

Kadowaki, Yoshihiko, et al.. (2011). PI3 Kinase inhibition on TRAIL-induced apoptosis correlates with androgen-sensitivity and p21 expression in prostate cancer cells. APOPTOSIS. 16(6). 627–635. 8 indexed citations

Chari, Nikhil, et al.. (2009). The p53 tumor suppressor network in cancer and the therapeutic modulation of cell death. APOPTOSIS. 14(4). 336–347. 44 indexed citations

Chari, Nikhil, et al.. (2009). Simultaneous Targeting of SHH/ p53 Pathways in Large B Cell Lymphomas.. Blood. 114(22). 1730–1730. 1 indexed citations

McDonnell, Timothy J., Nikhil Chari, Jeong Hee Cho‐Vega, et al.. (2008). Biomarker expression patterns that correlate with high grade features in treatment naive, organ-confined prostate cancer. BMC Medical Genomics. 1(1). 1–1. 46 indexed citations

Chari, Nikhil & Timothy J. McDonnell. (2007). The Sonic Hedgehog Signaling Network in Development and Neoplasia. Advances in Anatomic Pathology. 14(5). 344–352. 77 indexed citations

Lee, Sangjun, Nikhil Chari, Hyung Woo Kim, et al.. (2007). Cooperation of Ha‐ras and Bcl‐2 during multistep skin carcinogenesis. Molecular Carcinogenesis. 46(12). 949–957. 5 indexed citations

Spurgers, Kevin B., et al.. (2006). Molecular mediators of cell death in multistep carcinogenesis: a path to targeted therapy. Cell Death and Differentiation. 13(8). 1360–1370. 17 indexed citations

Bigelow, Rebecca L., Emily Y. Jen, Maryse Delehedde, Nikhil Chari, & Timothy J. McDonnell. (2005). Sonic Hedgehog Induces Epidermal Growth Factor Dependent Matrix Infiltration in HaCaT Keratinocytes. Journal of Investigative Dermatology. 124(2). 457–465. 76 indexed citations

10.

Bigelow, Rebecca L., Nikhil Chari, Anne Birgitte Undén, et al.. (2004). Transcriptional Regulation of bcl-2 Mediated by the Sonic Hedgehog Signaling Pathway through gli-1. Journal of Biological Chemistry. 279(2). 1197–1205. 204 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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