Gargi Maity

536 total citations
24 papers, 412 citations indexed

About

Gargi Maity is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Gargi Maity has authored 24 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Immunology and Allergy. Recurrent topics in Gargi Maity's work include Connective Tissue Growth Factor Research (10 papers), Biomarkers in Disease Mechanisms (5 papers) and Cell Adhesion Molecules Research (5 papers). Gargi Maity is often cited by papers focused on Connective Tissue Growth Factor Research (10 papers), Biomarkers in Disease Mechanisms (5 papers) and Cell Adhesion Molecules Research (5 papers). Gargi Maity collaborates with scholars based in United States, India and Japan. Gargi Maity's co-authors include Amitava Chatterjee, Triparna Sen, Sushanta K. Banerjee, Snigdha Banerjee, Sandipto Sarkar, Anindita Dutta, Inamul Haque, Amlan Das, Arnab Ghosh and Archana De and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Scientific Reports.

In The Last Decade

Gargi Maity

24 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gargi Maity United States 12 243 147 127 80 67 24 412
Yabing Zheng China 14 278 1.1× 124 0.8× 97 0.8× 41 0.5× 105 1.6× 20 477
G Li Canada 9 394 1.6× 134 0.9× 135 1.1× 58 0.7× 72 1.1× 12 493
Danielle L. Jernigan United States 9 315 1.3× 143 1.0× 225 1.8× 43 0.5× 76 1.1× 11 553
Brigitte Bisarò Italy 12 307 1.3× 103 0.7× 172 1.4× 161 2.0× 51 0.8× 16 513
Chee Man Cheong Australia 8 259 1.1× 98 0.7× 155 1.2× 26 0.3× 45 0.7× 10 434
Monica Aasrum Norway 16 241 1.0× 96 0.7× 260 2.0× 19 0.2× 84 1.3× 25 521
Shuliang Shi China 10 247 1.0× 138 0.9× 78 0.6× 44 0.6× 37 0.6× 15 412
LaTonia Taliaferro‐Smith United States 8 362 1.5× 159 1.1× 240 1.9× 40 0.5× 36 0.5× 13 556
Shu‐Jyuan Chang Taiwan 12 204 0.8× 95 0.6× 124 1.0× 49 0.6× 51 0.8× 25 343
Valery Adorno-Cruz United States 6 324 1.3× 205 1.4× 208 1.6× 36 0.5× 45 0.7× 6 513

Countries citing papers authored by Gargi Maity

Since Specialization
Citations

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

Fields of papers citing papers by Gargi Maity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gargi Maity

This figure shows the co-authorship network connecting the top 25 collaborators of Gargi Maity. A scholar is included among the top collaborators of Gargi Maity 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 Gargi Maity. Gargi Maity 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.
Umeh, Chukwuemeka, et al.. (2023). Remdesivir, dexamethasone and angiotensin-converting enzyme inhibitors use and mortality outcomes in COVID-19 patients with concomitant troponin elevation. World Journal of Cardiology. 15(9). 427–438. 1 indexed citations
2.
Maity, Gargi, et al.. (2023). Pulmonary Artery Aneurysm in Behcet Disease: Medical, Endovascular or Surgical Intervention. Cureus. 15(11). e49368–e49368. 1 indexed citations
3.
Maity, Gargi, Arnab Ghosh, Inamul Haque, et al.. (2019). CYR61/CCN1 Regulates dCK and CTGF and Causes Gemcitabine-resistant Phenotype in Pancreatic Ductal Adenocarcinoma. Molecular Cancer Therapeutics. 18(4). 788–800. 30 indexed citations
4.
Maity, Gargi, et al.. (2019). Aspirin suppresses tumor cell-induced angiogenesis and their incongruity. Journal of Cell Communication and Signaling. 13(4). 491–502. 19 indexed citations
5.
Maity, Gargi, Inamul Haque, Arnab Ghosh, et al.. (2018). The MAZ transcription factor is a downstream target of the oncoprotein Cyr61/CCN1 and promotes pancreatic cancer cell invasion via CRAF–ERK signaling. Journal of Biological Chemistry. 293(12). 4334–4349. 36 indexed citations
6.
Das, Amlan, Kakali Dhar, Gargi Maity, et al.. (2017). Deficiency of CCN5/WISP-2-Driven Program in breast cancer Promotes Cancer Epithelial cells to mesenchymal stem cells and Breast Cancer growth. Scientific Reports. 7(1). 1220–1220. 22 indexed citations
7.
Sarkar, Sandipto, Arnab Ghosh, Gargi Maity, Snigdha Banerjee, & Sushanta K. Banerjee. (2017). Abstract 5891: DCIS to invasive progression in breast cancer is delayed by restoring CCN5. Cancer Research. 77(13_Supplement). 5891–5891. 1 indexed citations
8.
Subramanian, Arvind, Sandipto Sarkar, Gargi Maity, et al.. (2016). Exosomes in carcinogenesis: molecular palkis carry signals for the regulation of cancer progression and metastasis. Journal of Cell Communication and Signaling. 10(3). 241–249. 19 indexed citations
9.
Banerjee, Sushanta K., Gargi Maity, Inamul Haque, et al.. (2016). Human pancreatic cancer progression: an anarchy among CCN-siblings. Journal of Cell Communication and Signaling. 10(3). 207–216. 15 indexed citations
10.
Ghosh, Priyanka, Snigdha Banerjee, Gargi Maity, Archana De, & Sushanta K. Banerjee. (2016). Detection of CCN1 and CCN5 mRNA in Human Cancer Samples Using a Modified In Situ Hybridization Technique. Methods in molecular biology. 1489. 495–504. 3 indexed citations
11.
Maity, Gargi, Archana De, Amlan Das, et al.. (2015). Aspirin blocks growth of breast tumor cells and tumor-initiating cells and induces reprogramming factors of mesenchymal to epithelial transition. Laboratory Investigation. 95(7). 702–717. 62 indexed citations
12.
Maity, Gargi, Smita Mehta, Inamul Haque, et al.. (2014). Pancreatic Tumor Cell Secreted CCN1/Cyr61 Promotes Endothelial cell migration and Aberrant Neovascularization. Scientific Reports. 4(1). 4995–4995. 35 indexed citations
13.
Das, Amlan, Archana De, Gargi Maity, Snigdha Banerjee, & Sushanta K. Banerjee. (2014). The anti‐diabetic drug metformin perturbs proliferation and cellular differentiation of pancreatic cancer cells: a key mechanism of its anticancer activity (784.6). The FASEB Journal. 28(S1). 1 indexed citations
14.
Maity, Gargi, Sandipto Sarkar, Kakali Dhar, et al.. (2014). Abstract 2330: Transcription factor MAZ promotes cell growth and aggressive behavior of human pancreatic cancer cells. Cancer Research. 74(19_Supplement). 2330–2330. 1 indexed citations
16.
17.
Maity, Gargi, Triparna Sen, & Amitava Chatterjee. (2010). Laminin induces matrix metalloproteinase-9 expression and activation in human cervical cancer cell line (SiHa). Journal of Cancer Research and Clinical Oncology. 137(2). 347–357. 25 indexed citations
18.
Sen, Triparna, Anindita Dutta, Gargi Maity, & Amitava Chatterjee. (2010). Fibronectin induces matrix metalloproteinase-9 (MMP-9) in human laryngeal carcinoma cells by involving multiple signaling pathways. Biochimie. 92(10). 1422–1434. 50 indexed citations
20.
Maity, Gargi, et al.. (2009). Fibronectin–integrin mediated signaling in human cervical cancer cells (SiHa). Molecular and Cellular Biochemistry. 336(1-2). 65–74. 35 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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