Aritro Nath

1.7k total citations
37 papers, 957 citations indexed

About

Aritro Nath is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Aritro Nath has authored 37 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Aritro Nath's work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers) and Cancer Genomics and Diagnostics (6 papers). Aritro Nath is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers) and Cancer Genomics and Diagnostics (6 papers). Aritro Nath collaborates with scholars based in United States, China and India. Aritro Nath's co-authors include Christina Chan, Irene Li, Lewis R. Roberts, R. Stephanie Huang, Andrea Bild, Paul Geeleher, Zhenyu Zhang, Robert L. Grossman, Xuerui Yang and Robert F. Gruener and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Aritro Nath

36 papers receiving 946 citations

Peers

Aritro Nath

ONCOL

PRM

EPIDE

Maria Elena Pisanu Italy

Haijian Zhang China

Linjie Zhao China

Shuichi Ohkubo Japan

Nifang Niu United States

Qun Niu United States

Shane O’Grady Ireland

Alessia Noto Italy

Huaitian Liu United States

Maria Elena Pisanu Italy

Aritro Nath

904 ×1.4

603 ×1.3

300 ×1.6

ONCOL

125 ×1.3

PRM

55 ×0.6

EPIDE

Citations per year, relative to Aritro Nath Aritro Nath (= 1×) peers Maria Elena Pisanu

Countries citing papers authored by Aritro Nath

Since Specialization

Citations

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

Fields of papers citing papers by Aritro Nath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aritro Nath

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

All Works

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20 of 20 papers shown

Griffiths, Jason I., Feng Chi, Elena Farmaki, et al.. (2025). Blocking cancer-fibroblast mutualism inhibits proliferation of endocrine therapy resistant breast cancer. Molecular Systems Biology. 21(7). 825–855.

Griffiths, Jason I., Patrick A. Cosgrove, Aritro Nath, et al.. (2025). Cellular interactions within the immune microenvironment underpins resistance to cell cycle inhibition in breast cancers. Nature Communications. 16(1). 2132–2132. 4 indexed citations

Chi, Feng, Jason I. Griffiths, Aritro Nath, & Andrea Bild. (2024). Paradoxical cancer cell proliferation after FGFR inhibition through decreased p21 signaling in FGFR1-amplified breast cancer cells. Breast Cancer Research. 26(1). 54–54. 4 indexed citations

Griffiths, Jason I., Vince Kornél Grolmusz, Aritro Nath, et al.. (2023). Cell facilitation promotes growth and survival under drug pressure in breast cancer. Nature Communications. 14(1). 3851–3851. 14 indexed citations

Farmaki, Elena, et al.. (2023). ONC201/TIC10 enhances durability of mTOR inhibitor everolimus in metastatic ER+ breast cancer. eLife. 12. 7 indexed citations

Chen, Jinfeng, et al.. (2022). A machine learning framework for scRNA-seq UMI threshold optimization and accurate classification of cell types. Frontiers in Genetics. 13. 982019–982019. 2 indexed citations

Nath, Aritro & Andrea Bild. (2021). Leveraging Single-Cell Approaches in Cancer Precision Medicine. Trends in cancer. 7(4). 359–372. 28 indexed citations

Nath, Aritro, Patrick A. Cosgrove, Elizabeth L. Christie, et al.. (2021). Evolution of core archetypal phenotypes in progressive high grade serous ovarian cancer. Nature Communications. 12(1). 3039–3039. 31 indexed citations

Nath, Aritro, et al.. (2020). Palmitate-Induced IRE1–XBP1–ZEB Signaling Represses Desmoplakin Expression and Promotes Cancer Cell Migration. Molecular Cancer Research. 19(2). 240–248. 19 indexed citations

10.

Grolmusz, Vince Kornél, Jinfeng Chen, Patrick A. Cosgrove, et al.. (2020). Exploiting collateral sensitivity controls growth of mixed culture of sensitive and resistant cells and decreases selection for resistant cells in a cell line model. Cancer Cell International. 20(1). 253–253. 17 indexed citations

11.

Chi, Feng, Jiayi Liu, Samuel W. Brady, et al.. (2020). A `one-two punch' therapy strategy to target chemoresistance in estrogen receptor positive breast cancer. Translational Oncology. 14(1). 100946–100946. 12 indexed citations

12.

Nath, Aritro, Eunice Y. Lau, Adam M Lee, et al.. (2019). Discovering long noncoding RNA predictors of anticancer drug sensitivity beyond protein-coding genes. Proceedings of the National Academy of Sciences. 116(44). 22020–22029. 31 indexed citations

13.

Geeleher, Paul, Aritro Nath, Fan Wang, et al.. (2018). Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity. Genome biology. 19(1). 130–130. 22 indexed citations

14.

Geeleher, Paul, Zhenyu Zhang, Fan Wang, et al.. (2017). Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies. Genome Research. 27(10). 1743–1751. 88 indexed citations

15.

Nath, Aritro, Jacqueline Wang, & R. Stephanie Huang. (2017). Pharmacogenetics and Pharmacogenomics of Targeted Therapeutics in Chronic Myeloid Leukemia. Molecular Diagnosis & Therapy. 21(6). 621–631. 16 indexed citations

16.

Nath, Aritro & Christina Chan. (2016). Genetic alterations in fatty acid transport and metabolism genes are associated with metastatic progression and poor prognosis of human cancers. Scientific Reports. 6(1). 18669–18669. 156 indexed citations

17.

Nath, Aritro, et al.. (2016). Characterization of transcription factor response kinetics in parallel. BMC Biotechnology. 16(1). 62–62. 2 indexed citations

18.

Faber, Matthew S., Aritro Nath, Li Liu, et al.. (2015). Rapid Fine Conformational Epitope Mapping Using Comprehensive Mutagenesis and Deep Sequencing. Journal of Biological Chemistry. 290(44). 26457–26470. 64 indexed citations

19.

Cho, Hyun-Ju, et al.. (2013). Signaling dynamics of palmitate-induced ER stress responses mediated by ATF4 in HepG2 cells. BMC Systems Biology. 7(1). 9–9. 37 indexed citations

20.

Yang, Xuerui, et al.. (2010). The Double-stranded RNA–dependent Protein Kinase Differentially Regulates Insulin Receptor Substrates 1 and 2 in HepG2 Cells. Molecular Biology of the Cell. 21(19). 3449–3458. 38 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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