Geetika Chakravarty

573 total citations
17 papers, 475 citations indexed

About

Geetika Chakravarty is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Geetika Chakravarty has authored 17 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Geetika Chakravarty's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer-related Molecular Pathways (3 papers) and Thyroid Disorders and Treatments (2 papers). Geetika Chakravarty is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer-related Molecular Pathways (3 papers) and Thyroid Disorders and Treatments (2 papers). Geetika Chakravarty collaborates with scholars based in United States, Japan and Sweden. Geetika Chakravarty's co-authors include Debasis Mondal, Jeffrey M. Rosen, Samantha L. Gerlach, Darryl L. Hadsell, Ramesh Rathinakumar, Jeffrey Settleman, William C. Wimley, Ulf Göransson, Steven P. Darwin and Michelle Lacey and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Developmental Biology.

In The Last Decade

Geetika Chakravarty

16 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geetika Chakravarty United States 13 313 141 62 61 46 17 475
Lily Sun United States 10 271 0.9× 96 0.7× 43 0.7× 70 1.1× 40 0.9× 15 444
Masayuki Okada Japan 10 419 1.3× 84 0.6× 76 1.2× 42 0.7× 26 0.6× 11 632
Samar Abdulkhalek Canada 14 412 1.3× 109 0.8× 84 1.4× 86 1.4× 48 1.0× 17 691
Cláudia Alessandra Andrade de Paula Brazil 11 221 0.7× 87 0.6× 88 1.4× 37 0.6× 20 0.4× 17 409
Marie‐Josée Langlois Canada 10 283 0.9× 103 0.7× 85 1.4× 54 0.9× 16 0.3× 17 461
Magid Fallahi Canada 13 414 1.3× 209 1.5× 94 1.5× 60 1.0× 20 0.4× 14 652
Yunping Lu China 10 266 0.8× 107 0.8× 64 1.0× 30 0.5× 12 0.3× 22 406
Jinbiao Zhan China 13 258 0.8× 170 1.2× 65 1.0× 38 0.6× 17 0.4× 29 541
Liqing Xiao United States 11 431 1.4× 69 0.5× 46 0.7× 85 1.4× 15 0.3× 13 611

Countries citing papers authored by Geetika Chakravarty

Since Specialization
Citations

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

Fields of papers citing papers by Geetika Chakravarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geetika Chakravarty

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

All Works

17 of 17 papers shown
1.
Chakravarty, Geetika, Aditi Mathur, Samantha L. Gerlach, et al.. (2016). Nelfinavir targets multiple drug resistance mechanisms to increase the efficacy of doxorubicin in MCF-7/Dox breast cancer cells. Biochimie. 124. 53–64. 36 indexed citations
2.
Chakravarty, Geetika, et al.. (2013). Novel “Breath Figure”‐Based Synthetic PLGA Matrices for In Vitro Modeling of Mammary Morphogenesis and Assessing Chemotherapeutic Response. Advanced Healthcare Materials. 3(5). 703–713. 14 indexed citations
3.
Weber, Georg F., et al.. (2012). Biomarkers—a pot of gold or a can of worms?. Cancer Biology & Therapy. 13(10). 831–835. 1 indexed citations
4.
Mathur, Aditi, Geetika Chakravarty, Asim B. Abdel‐Mageed, & Debasis Mondal. (2012). Abstract 3719: Simultaneous targeting of ER-stress and PI3K/AKT pathways as novel anticancer and chemosensitization approach against castration resistant prostate cancer. Cancer Research. 72(8_Supplement). 3719–3719. 1 indexed citations
5.
Xiang, Shulin, Lulu Mao, Lin Yuan, et al.. (2012). Impaired mouse mammary gland growth and development is mediated by melatonin and its MT1 G protein‐coupled receptor via repression of ERα, Akt1, and Stat5. Journal of Pineal Research. 53(3). 307–318. 16 indexed citations
6.
Chakravarty, Geetika. (2012). Breast Cancer Stem Cells: How to Target These Chameleons - Masters of Disguise. Journal of Molecular Biomarkers & Diagnosis. 3(6).
7.
Chakravarty, Geetika, et al.. (2011). Cytoplasmic compartmentalization of SOX9 abrogates the growth arrest response of breast cancer cells that can be rescued by trichostatin A treatment. Cancer Biology & Therapy. 11(1). 71–83. 23 indexed citations
8.
Chakravarty, Geetika, Krzysztof Moroz, Nick Makridakis, et al.. (2011). Prognostic significance of cytoplasmic SOX9 in invasive ductal carcinoma and metastatic breast cancer. Experimental Biology and Medicine. 236(2). 145–155. 78 indexed citations
9.
Gerlach, Samantha L., Ramesh Rathinakumar, Geetika Chakravarty, et al.. (2010). Anticancer and chemosensitizing abilities of cycloviolacin O2 from Viola odorata and psyle cyclotides from Psychotria leptothyrsa. Biopolymers. 94(5). 617–625. 98 indexed citations
10.
Roy, Upal, Geetika Chakravarty, Kerstin Höner zu Bentrup, & Debasis Mondal. (2009). Montelukast Is a Potent and Durable Inhibitor of Multidrug Resistance Protein 2-Mediated Efflux of Taxol and Saquinavir. Biological and Pharmaceutical Bulletin. 32(12). 2002–2009. 20 indexed citations
11.
Chakravarty, Geetika, Alfredo A. Santillan, Chad E. Galer, et al.. (2009). Phosphorylated Insulin Like Growth Factor-I Receptor Expression and Its Clinico-Pathological Significance in Histologic Subtypes of Human Thyroid Cancer. Experimental Biology and Medicine. 234(4). 372–386. 13 indexed citations
12.
Cao, Ying, Shu-Fang Jia, Geetika Chakravarty, Benoît De Crombrugghe, & Eugenie S. Kleinerman. (2008). The Osterix Transcription Factor Down-Regulates Interleukin-1α Expression in Mouse Osteosarcoma Cells. Molecular Cancer Research. 6(1). 119–126. 19 indexed citations
13.
Chakravarty, Geetika, Tracy Vargo-Gogola, Darryl L. Hadsell, et al.. (2007). Crosstalk between the p190-B RhoGAP and IGF signaling pathways is required for embryonic mammary bud development. Developmental Biology. 309(1). 137–149. 36 indexed citations
14.
Wang, Zhuoying, Geetika Chakravarty, Seungwon Kim, et al.. (2006). Growth-Inhibitory Effects of Human Anti-Insulin-Like Growth Factor-I Receptor Antibody (A12) in an Orthotopic Nude Mouse Model of Anaplastic Thyroid Carcinoma. Clinical Cancer Research. 12(15). 4755–4765. 34 indexed citations
15.
Chakravarty, Geetika, et al.. (2003). p190-B RhoGAP Regulates Mammary Ductal Morphogenesis. Molecular Endocrinology. 17(6). 1054–1065. 45 indexed citations
16.
Chakravarty, Geetika, Denis Roy, M. Gonzalés, et al.. (2000). P190-B, a Rho-GTPase-activating protein, is differentially expressed in terminal end buds and breast cancer.. PubMed. 11(7). 343–54. 33 indexed citations
17.
Chakravarty, Geetika, Alka Redkar, & Indraneel Mittra. (1996). A comparative study of detection of p53 mutations in human breast cancer by flow cytometry, single-strand conformation polymorphism and genomic sequencing. British Journal of Cancer. 74(8). 1181–1187. 8 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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