Sushmita Nandy

1.0k total citations
24 papers, 830 citations indexed

About

Sushmita Nandy is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sushmita Nandy has authored 24 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Sushmita Nandy's work include Cancer, Hypoxia, and Metabolism (5 papers), Cancer Cells and Metastasis (5 papers) and Mesenchymal stem cell research (4 papers). Sushmita Nandy is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Cancer Cells and Metastasis (5 papers) and Mesenchymal stem cell research (4 papers). Sushmita Nandy collaborates with scholars based in United States and India. Sushmita Nandy's co-authors include Rajkumar Lakshmanaswamy, Ramadevi Subramani, Arunkumar Arumugam, Diego A. Pedroza, Alok Dwivedi, Elizabeth M. Gonzalez, Sujata Mohanty, Mahesh Narayan, Balram Airan and Edward C. Saltzstein and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Sushmita Nandy

24 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sushmita Nandy United States 16 477 235 233 107 74 24 830
Nancy De Nève Belgium 17 490 1.0× 211 0.9× 216 0.9× 61 0.6× 80 1.1× 31 961
Xu Zheng China 19 516 1.1× 166 0.7× 99 0.4× 101 0.9× 36 0.5× 50 924
Qing‐You Kong China 25 831 1.7× 308 1.3× 247 1.1× 62 0.6× 118 1.6× 47 1.4k
Vimal Pandey India 16 409 0.9× 185 0.8× 180 0.8× 52 0.5× 76 1.0× 26 779
Yoo Jin Na South Korea 20 476 1.0× 207 0.9× 177 0.8× 55 0.5× 99 1.3× 37 900
Chun-Chung Lee Taiwan 16 525 1.1× 158 0.7× 223 1.0× 53 0.5× 52 0.7× 20 907
Mo‐Li Wu China 23 643 1.3× 298 1.3× 230 1.0× 68 0.6× 59 0.8× 52 1.3k
Naoki Wakimoto Japan 15 557 1.2× 199 0.8× 90 0.4× 101 0.9× 118 1.6× 29 947
Seong Hye Park South Korea 19 497 1.0× 181 0.8× 189 0.8× 55 0.5× 89 1.2× 34 879
Youhong Jiang China 20 584 1.2× 205 0.9× 272 1.2× 29 0.3× 61 0.8× 60 992

Countries citing papers authored by Sushmita Nandy

Since Specialization
Citations

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

Fields of papers citing papers by Sushmita Nandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushmita Nandy

This figure shows the co-authorship network connecting the top 25 collaborators of Sushmita Nandy. A scholar is included among the top collaborators of Sushmita Nandy 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 Sushmita Nandy. Sushmita Nandy 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.
Arumugam, Arunkumar, Ramadevi Subramani, Sushmita Nandy, et al.. (2019). Silencing growth hormone receptor inhibits estrogen receptor negative breast cancer through ATP-binding cassette sub-family G member 2. Experimental & Molecular Medicine. 51(1). 1–13. 54 indexed citations
2.
Nandy, Sushmita, et al.. (2019). Adipose tissue derived mesenchymal stem cells are better respondents to TGFβ1 for in vitro generation of cardiomyocyte-like cells. Molecular and Cellular Biochemistry. 460(1-2). 53–66. 22 indexed citations
3.
Mohanty, Sujata, Krishan Gopal Jain, Sushmita Nandy, et al.. (2018). Iron oxide labeling does not affect differentiation potential of human bone marrow mesenchymal stem cells exhibited by their differentiation into cardiac and neuronal cells. Molecular and Cellular Biochemistry. 448(1-2). 17–26. 21 indexed citations
4.
Nandy, Sushmita, Ramadevi Subramani, Arunkumar Arumugam, et al.. (2017). Glucose insult elicits hyperactivation of cancer stem cells through miR-424–cdc42–prdm14 signalling axis. British Journal of Cancer. 117(11). 1665–1675. 25 indexed citations
5.
Nandy, Sushmita & Rajkumar Lakshmanaswamy. (2017). Cancer Stem Cells and Metastasis. Progress in molecular biology and translational science. 151. 137–176. 41 indexed citations
6.
Subramani, Ramadevi, Sushmita Nandy, Diego A. Pedroza, & Rajkumar Lakshmanaswamy. (2017). Role of Growth Hormone in Breast Cancer. Endocrinology. 158(6). 1543–1555. 56 indexed citations
7.
Subramani, Ramadevi, Elizabeth M. Gonzalez, Arunkumar Arumugam, et al.. (2016). Nimbolide inhibits pancreatic cancer growth and metastasis through ROS-mediated apoptosis and inhibition of epithelial-to-mesenchymal transition. Scientific Reports. 6(1). 19819–19819. 136 indexed citations
8.
Subramani, Ramadevi, Arunkumar Arumugam, Sushmita Nandy, et al.. (2016). The serum protein profile of early parity which induces protection against breast cancer. Oncotarget. 7(50). 82538–82553. 4 indexed citations
9.
Arumugam, Arunkumar, et al.. (2015). Desacetyl nimbinene inhibits breast cancer growth and metastasis through reactive oxygen species mediated mechanisms. Tumor Biology. 37(5). 6527–6537. 13 indexed citations
10.
Subramani, Ramadevi, Laxman Gangwani, Sushmita Nandy, et al.. (2015). Emerging roles of microRNAs in pancreatic cancer diagnosis, therapy and prognosis (Review). International Journal of Oncology. 47(4). 1203–1210. 31 indexed citations
11.
Nandy, Sushmita, Laxman Gangwani, Zeina Nahleh, et al.. (2015). Recurrence and metastasis of breast cancer is influenced by ovarian hormone’s effect on breast cancer stem cells. Future Oncology. 11(6). 983–995. 21 indexed citations
12.
Gutierrez, Christina, Ramadevi Subramani, Arunkumar Arumugam, et al.. (2015). A Breast Tissue Protein Expression Profile Contributing to Early Parity-Induced Protection Against Breast Cancer. Cellular Physiology and Biochemistry. 37(5). 1671–1685. 6 indexed citations
13.
Nandy, Sushmita, et al.. (2014). Fibroblast Growth Factor-2 alone as an efficient inducer for differentiation of human bone marrow mesenchymal stem cells into dopaminergic neurons. Journal of Biomedical Science. 21(1). 83–83. 60 indexed citations
14.
Subramani, Ramadevi, et al.. (2014). Targeting Insulin-Like Growth Factor 1 Receptor Inhibits Pancreatic Cancer Growth and Metastasis. PLoS ONE. 9(5). e97016–e97016. 76 indexed citations
15.
Subramani, Ramadevi, et al.. (2014). Growth hormone receptor inhibition decreases the growth and metastasis of pancreatic ductal adenocarcinoma. Experimental & Molecular Medicine. 46(10). e117–e117. 35 indexed citations
16.
Arumugam, Arunkumar, et al.. (2014). Parity and Short-Term Estradiol Treatment Utilizes Similar Cellular Mechanisms to Confer Protection Against Breast Cancer. Cellular Physiology and Biochemistry. 34(2). 491–505. 10 indexed citations
17.
18.
19.
Arumugam, Arunkumar, et al.. (2013). Neem leaf extract inhibits mammary carcinogenesis by altering cell proliferation, apoptosis, and angiogenesis. Cancer Biology & Therapy. 15(1). 26–34. 43 indexed citations
20.
Arumugam, Arunkumar, et al.. (2013). Abstract 2264: Anticancer effect of gedunin against pancreatic cancer cell lines.. Cancer Research. 73(8_Supplement). 2264–2264. 4 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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