Arnab Chakravarti

9.7k total citations
173 papers, 6.1k citations indexed

About

Arnab Chakravarti is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Arnab Chakravarti has authored 173 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 52 papers in Cancer Research and 45 papers in Genetics. Recurrent topics in Arnab Chakravarti's work include Glioma Diagnosis and Treatment (45 papers), MicroRNA in disease regulation (18 papers) and Cancer-related molecular mechanisms research (16 papers). Arnab Chakravarti is often cited by papers focused on Glioma Diagnosis and Treatment (45 papers), MicroRNA in disease regulation (18 papers) and Cancer-related molecular mechanisms research (16 papers). Arnab Chakravarti collaborates with scholars based in United States, Germany and Netherlands. Arnab Chakravarti's co-authors include Deliang Guo, Jay S. Loeffler, Erica H. Bell, Meaghan A. Delaney, Gary Zhai, Paul S. Mischel, Min Zhang, Feng Geng, Dianne M. Finkelstein and Xiang Cheng 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

Arnab Chakravarti

169 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnab Chakravarti United States 45 3.2k 2.1k 1.3k 1.2k 1.1k 173 6.1k
Robert Soriano United States 19 2.7k 0.8× 1.5k 0.7× 1.5k 1.2× 1.8k 1.5× 776 0.7× 20 5.1k
Do‐Hyun Nam South Korea 43 3.6k 1.1× 2.2k 1.1× 2.4k 1.8× 2.2k 1.8× 803 0.7× 144 7.1k
Erinn B. Rankin United States 37 3.4k 1.1× 3.1k 1.5× 1.5k 1.1× 596 0.5× 1.0k 0.9× 71 7.0k
Oriol Casanovas Spain 32 3.8k 1.2× 2.1k 1.0× 2.3k 1.8× 470 0.4× 896 0.8× 70 6.2k
Sandra Pastorino United States 32 3.0k 0.9× 1.8k 0.9× 1.8k 1.4× 1.7k 1.4× 1.3k 1.2× 59 6.3k
Yoshitaka Narita Japan 37 2.0k 0.6× 1.2k 0.6× 1.3k 1.0× 2.6k 2.2× 1.2k 1.1× 234 5.6k
Hiroaki Okuyama Japan 29 2.6k 0.8× 1.8k 0.9× 1.8k 1.4× 529 0.5× 552 0.5× 57 5.0k
Eliot M. Rosen United States 57 4.7k 1.4× 1.2k 0.6× 1.8k 1.4× 429 0.4× 999 0.9× 145 7.9k
Hui‐Wen Lo United States 48 4.5k 1.4× 1.5k 0.7× 3.3k 2.5× 813 0.7× 1.5k 1.4× 113 7.7k
Vladimir Lazar France 46 4.1k 1.3× 2.1k 1.0× 2.1k 1.6× 423 0.4× 954 0.9× 133 7.4k

Countries citing papers authored by Arnab Chakravarti

Since Specialization
Citations

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

Fields of papers citing papers by Arnab Chakravarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnab Chakravarti

This figure shows the co-authorship network connecting the top 25 collaborators of Arnab Chakravarti. A scholar is included among the top collaborators of Arnab Chakravarti 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 Arnab Chakravarti. Arnab Chakravarti 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.
Gogineni, Emile, Daniel Schaefer, T.Y. Andraos, et al.. (2024). Systematic Implementation of Effective Quality Assurance Processes for the Assessment of Radiation Target Volumes in Head and Neck Cancer. Practical Radiation Oncology. 14(3). e205–e213. 2 indexed citations
2.
Jacob, John R., et al.. (2023). miRNA-194-3p represses NF-κB in gliomas to attenuate iPSC genes and proneural to mesenchymal transition. iScience. 27(1). 108650–108650. 5 indexed citations
3.
Gupta, Nilendu, et al.. (2023). Technical note: Commissioning of a linear accelerator producing ultra‐high dose rate electrons. Medical Physics. 51(2). 1415–1420. 7 indexed citations
4.
Schrock, Morgan S., et al.. (2022). MKLP2 functions in early mitosis to ensure proper chromosome congression. Journal of Cell Science. 135(12). 8 indexed citations
5.
Wolfe, Adam R., Ryan Robb, Laith Abushahin, et al.. (2020). Altered Gemcitabine and Nab-paclitaxel Scheduling Improves Therapeutic Efficacy Compared with Standard Concurrent Treatment in Preclinical Models of Pancreatic Cancer. Clinical Cancer Research. 27(2). 554–565. 8 indexed citations
6.
Blakaj, Dukagjin, Joshua D. Palmer, Eric C. Bourekas, et al.. (2020). Postoperative Stereotactic Body Radiotherapy for Spinal Metastasis and Predictors of Local Control. Neurosurgery. 88(5). 1021–1027. 15 indexed citations
7.
Palanichamy, Kamalakannan, et al.. (2017). Lack of Constitutively Active DNA Repair Sensitizes Glioblastomas to Akt Inhibition and Induces Synthetic Lethality with Radiation Treatment in a p53-Dependent Manner. Molecular Cancer Therapeutics. 17(2). 336–346. 9 indexed citations
8.
Chatterjee, Moumita, Edgar Ben‐Josef, Ryan Robb, et al.. (2017). Caveolae-Mediated Endocytosis Is Critical for Albumin Cellular Uptake and Response to Albumin-Bound Chemotherapy. Cancer Research. 77(21). 5925–5937. 127 indexed citations
9.
Mo, Xiaokui, C. Barney, Jose G. Bazan, et al.. (2017). Prognostic Value of Primary Tumor Volume Changes on kV-CBCT during Definitive Chemoradiotherapy for Stage III Non–Small Cell Lung Cancer. Journal of Thoracic Oncology. 12(12). 1779–1787. 21 indexed citations
10.
Palanichamy, Kamalakannan, Krishnan Thirumoorthy, Suman Kanji, et al.. (2016). Methionine and Kynurenine Activate Oncogenic Kinases in Glioblastoma, and Methionine Deprivation Compromises Proliferation. Clinical Cancer Research. 22(14). 3513–3523. 48 indexed citations
11.
Geng, Feng, Xiang Cheng, Xiaoning Wu, et al.. (2016). Inhibition of SOAT1 Suppresses Glioblastoma Growth via Blocking SREBP-1–Mediated Lipogenesis. Clinical Cancer Research. 22(21). 5337–5348. 244 indexed citations
12.
Palanichamy, Kamalakannan, Suman Kanji, Krishnan Thirumoorthy, et al.. (2016). NNMT Silencing Activates Tumor Suppressor PP2A, Inactivates Oncogenic STKs, and Inhibits Tumor Forming Ability. Clinical Cancer Research. 23(9). 2325–2334. 64 indexed citations
13.
Lu, Lanchun, et al.. (2016). Dosimetric Verification of Dental Stent Efficacy in Head and Neck Radiation Therapy Using Modern Radiation Therapy Techniques: Quality of Life (QOL) and Treatment Compliance Implications. International Journal of Radiation Oncology*Biology*Physics. 94(4). 875–876. 4 indexed citations
14.
Bell, Erica H., Arup R. Chakraborty, Xiaokui Mo, et al.. (2015). SMARCA4 /BRG1 Is a Novel Prognostic Biomarker Predictive of Cisplatin-Based Chemotherapy Outcomes in Resected Non–Small Cell Lung Cancer. Clinical Cancer Research. 22(10). 2396–2404. 115 indexed citations
15.
Meisen, Walter H., Steven T. Sizemore, Haritha Mathsyaraja, et al.. (2014). Changes in BAI1 and Nestin Expression Are Prognostic Indicators for Survival and Metastases in Breast Cancer and Provide Opportunities for Dual Targeted Therapies. Molecular Cancer Therapeutics. 14(1). 307–314. 25 indexed citations
16.
Singh, Mamata, Brian Geier, Wenrui Duan, et al.. (2014). FANCD2 Is a Potential Therapeutic Target and Biomarker in Alveolar Rhabdomyosarcoma Harboring the PAX3–FOXO1 Fusion Gene. Clinical Cancer Research. 20(14). 3884–3895. 11 indexed citations
17.
Noda, Shin‐ei, Tim Lautenschlaeger, Areej El‐Jawahri, et al.. (2009). Technological Advances in Radiation Oncology for Central Nervous System Tumors. Seminars in Radiation Oncology. 19(3). 179–186. 11 indexed citations
18.
Yoshimoto, Koji, Julie Dang, Shaojun Zhu, et al.. (2008). Development of a Real-time RT-PCR Assay for Detecting EGFRvIII in Glioblastoma Samples. Clinical Cancer Research. 14(2). 488–493. 81 indexed citations
19.
Liu, Fenghua, Peter J. Park, Weil Lai, et al.. (2006). A Genome-Wide Screen Reveals Functional Gene Clusters in the Cancer Genome and Identifies EphA2 as a Mitogen in Glioblastoma. Cancer Research. 66(22). 10815–10823. 94 indexed citations
20.
Malhotra, K. C., Ranajit Chakraborty, & Arnab Chakravarti. (1978). Gene Differentiation Among the Dhangar Caste-Cluster of Maharashtra, India. Human Heredity. 28(1). 26–36. 25 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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