Sunipa Majumdar

669 total citations
20 papers, 521 citations indexed

About

Sunipa Majumdar is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Sunipa Majumdar has authored 20 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Rheumatology. Recurrent topics in Sunipa Majumdar's work include Bone Metabolism and Diseases (6 papers), Bone health and treatments (5 papers) and Prostate Cancer Treatment and Research (5 papers). Sunipa Majumdar is often cited by papers focused on Bone Metabolism and Diseases (6 papers), Bone health and treatments (5 papers) and Prostate Cancer Treatment and Research (5 papers). Sunipa Majumdar collaborates with scholars based in United States, India and Saudi Arabia. Sunipa Majumdar's co-authors include Meenakshi A. Chellaiah, Shahriar Koochekpour, Linda T. Senbanjo, John J. Estrada, Eric L. Buckles, Uma B. Dasgupta, Bhaswati Ganguli, Sarbari Lahiri, Sarmishtha Chanda and D. N. Guha Mazumder and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Sunipa Majumdar

20 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunipa Majumdar United States 13 323 115 107 85 48 20 521
Iman J. Schultz Netherlands 14 506 1.6× 149 1.3× 129 1.2× 82 1.0× 60 1.3× 22 814
Nadine Haddad United States 11 246 0.8× 92 0.8× 110 1.0× 83 1.0× 87 1.8× 30 591
Dennis Liang Fei United States 14 958 3.0× 103 0.9× 143 1.3× 51 0.6× 73 1.5× 21 1.2k
Xiangrong Cui China 16 383 1.2× 196 1.7× 126 1.2× 66 0.8× 41 0.9× 43 745
Mary A. Bewick Canada 13 225 0.7× 80 0.7× 157 1.5× 41 0.5× 45 0.9× 16 451
Natasha Musrap Canada 12 295 0.9× 149 1.3× 164 1.5× 155 1.8× 50 1.0× 15 628
Tobias Linden Germany 7 182 0.6× 117 1.0× 60 0.6× 48 0.6× 24 0.5× 13 505
Martine Gaillard-Kelly United States 12 669 2.1× 102 0.9× 320 3.0× 86 1.0× 17 0.4× 14 1.2k
Sijun Yang United States 16 181 0.6× 77 0.7× 109 1.0× 21 0.2× 48 1.0× 20 1.2k
Nagendra K. Chaturvedi United States 18 482 1.5× 148 1.3× 144 1.3× 85 1.0× 166 3.5× 42 775

Countries citing papers authored by Sunipa Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by Sunipa Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunipa Majumdar

This figure shows the co-authorship network connecting the top 25 collaborators of Sunipa Majumdar. A scholar is included among the top collaborators of Sunipa Majumdar 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 Sunipa Majumdar. Sunipa Majumdar 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.
Josefsson, Anders, et al.. (2024). Evaluation of targeting αVβ3 in breast cancers using RGD peptide-based agents. Nuclear Medicine and Biology. 128-129. 108880–108880. 5 indexed citations
2.
Stains, Joseph P., et al.. (2021). Peptidomimetic inhibitor of L-plastin reduces osteoclastic bone resorption in aging female mice. Bone Research. 9(1). 22–22. 5 indexed citations
3.
Chellaiah, Meenakshi A., Megan C. Moorer, Sunipa Majumdar, et al.. (2020). L-Plastin deficiency produces increased trabecular bone due to attenuation of sealing ring formation and osteoclast dysfunction. Bone Research. 8(1). 3–3. 14 indexed citations
4.
5.
6.
Senbanjo, Linda T., et al.. (2019). Characterization of CD44 intracellular domain interaction with RUNX2 in PC3 human prostate cancer cells. Cell Communication and Signaling. 17(1). 80–80. 42 indexed citations
7.
Majumdar, Sunipa, et al.. (2019). Engineering of L-Plastin Peptide-Loaded Biodegradable Nanoparticles for Sustained Delivery and Suppression of Osteoclast Function In Vitro. International Journal of Cell Biology. 2019. 1–13. 8 indexed citations
8.
Chellaiah, Meenakshi A., et al.. (2018). Peptidomimetic inhibitors of L-plastin reduce the resorptive activity of osteoclast but not the bone forming activity of osteoblasts in vitro. PLoS ONE. 13(9). e0204209–e0204209. 19 indexed citations
9.
Senbanjo, Linda T., et al.. (2018). Androgen receptor expression reduces stemness characteristics of prostate cancer cells (PC3) by repression of CD44 and SOX2. Journal of Cellular Biochemistry. 120(2). 2413–2428. 26 indexed citations
10.
Chellaiah, Meenakshi A., Tao Ma, & Sunipa Majumdar. (2018). L-plastin phosphorylation regulates the early phase of sealing ring formation by actin bundling process in mouse osteoclasts. Experimental Cell Research. 372(1). 73–82. 14 indexed citations
11.
Majumdar, Sunipa, et al.. (2017). A Low Concentration of Tacrolimus/Semifluorinated Alkane (SFA) Eyedrop Suppresses Intraocular Inflammation in Experimental Models of Uveitis. Current Molecular Medicine. 17(3). 211–220. 13 indexed citations
12.
Santha, Sreevidya, Sunipa Majumdar, Navin Viswakarma, Ajay Rana, & Basabi Rana. (2014). Abstract 2270: TRAIL-TZD combinatorial treatment induces apoptosis in prostate cancer cells through modulation of AMPK signaling pathway. Cancer Research. 74(19_Supplement). 2270–2270. 1 indexed citations
13.
Koochekpour, Shahriar, Sunipa Majumdar, Gissou Azabdaftari, et al.. (2012). Serum Glutamate Levels Correlate with Gleason Score and Glutamate Blockade Decreases Proliferation, Migration, and Invasion and Induces Apoptosis in Prostate Cancer Cells. Clinical Cancer Research. 18(21). 5888–5901. 115 indexed citations
14.
Koochekpour, Shahriar, et al.. (2012). 796 CORTISOL SERUM LEVELS ARE INCREASED AND INDUCE GENOMIC INSTABILITY IN ADVANCED PROSTATE CANCER. The Journal of Urology. 187(4S). 1 indexed citations
15.
Majumdar, Sunipa, Eric L. Buckles, John J. Estrada, & Shahriar Koochekpour. (2011). Aberrant DNA Methylation and Prostate Cancer. Current Genomics. 12(7). 486–505. 86 indexed citations
16.
Koochekpour, Shahriar, Siyi Hu, Sunipa Majumdar, et al.. (2011). 142 SOMATIC AND GENOMIC INSTABILITY OF ANDROGEN RECEPTOR IN AFRICAN AMERICANS WITH PROSTATE CANCER. The Journal of Urology. 185(4S). 1 indexed citations
17.
Majumdar, Sunipa, Sarmishtha Chanda, Bhaswati Ganguli, et al.. (2010). Arsenic exposure induces genomic hypermethylation. Environmental Toxicology. 25(3). 315–318. 63 indexed citations
18.
Majumdar, Sunipa, et al.. (2008). Association of cytochrome P450, glutathione S-transferase and N-acetyl transferase 2 gene polymorphisms with incidence of acute myeloid leukemia. European Journal of Cancer Prevention. 17(2). 125–132. 34 indexed citations
19.
Mondal, Bama Charan, Aditi Bandyopadhyay, Sunipa Majumdar, et al.. (2006). Molecular profiling of chronic myeloid leukemia in eastern India. American Journal of Hematology. 81(11). 845–849. 21 indexed citations
20.
Bandyopadhyay, Aditi, Sanmay Bandyopadhyay, Bama Charan Mondal, et al.. (2004). Profile of β‐thalassemia in eastern India and its prenatal diagnosis. Prenatal Diagnosis. 24(12). 992–996. 15 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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