Subhasree Nag

2.2k total citations
24 papers, 1.8k citations indexed

About

Subhasree Nag is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Subhasree Nag has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Subhasree Nag's work include Cancer-related Molecular Pathways (9 papers), Ubiquitin and proteasome pathways (4 papers) and Ginseng Biological Effects and Applications (3 papers). Subhasree Nag is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), Ubiquitin and proteasome pathways (4 papers) and Ginseng Biological Effects and Applications (3 papers). Subhasree Nag collaborates with scholars based in United States and China. Subhasree Nag's co-authors include Ruiwen Zhang, Jiang‐Jiang Qin, Wei Wang, Sukesh Voruganti, Satyan Kalkunte, Jianwei Zhou, Ming‐Hai Wang, Kalkunte S. Srivenugopal, Xu Zhang and Hui Wang and has published in prestigious journals such as Nature Communications, PLoS ONE and European Journal of Medicinal Chemistry.

In The Last Decade

Subhasree Nag

24 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhasree Nag United States 17 1.3k 549 367 159 135 24 1.8k
Changyan Chen United States 28 1.3k 1.0× 389 0.7× 326 0.9× 122 0.8× 179 1.3× 69 1.9k
Addanki P. Kumar United States 27 1.0k 0.8× 561 1.0× 436 1.2× 130 0.8× 140 1.0× 56 1.9k
Ke Yao United States 28 1.5k 1.1× 389 0.7× 298 0.8× 87 0.5× 162 1.2× 61 2.0k
Lihong Chen China 20 1.1k 0.9× 478 0.9× 297 0.8× 55 0.3× 123 0.9× 50 1.7k
Yunguang Tong China 19 796 0.6× 241 0.4× 331 0.9× 128 0.8× 85 0.6× 29 1.4k
Numsen Hail United States 29 1.6k 1.3× 385 0.7× 326 0.9× 131 0.8× 275 2.0× 41 2.4k
Mano Horinaka Japan 25 1.5k 1.2× 424 0.8× 386 1.1× 107 0.7× 306 2.3× 66 2.1k
Dong Joon Kim China 25 1.4k 1.1× 320 0.6× 404 1.1× 97 0.6× 191 1.4× 58 2.0k
Elizabeth R. Rayburn United States 26 1.9k 1.5× 810 1.5× 366 1.0× 263 1.7× 287 2.1× 43 2.6k
Francesca Tosetti Italy 23 1.1k 0.8× 502 0.9× 339 0.9× 142 0.9× 397 2.9× 48 2.0k

Countries citing papers authored by Subhasree Nag

Since Specialization
Citations

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

Fields of papers citing papers by Subhasree Nag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhasree Nag

This figure shows the co-authorship network connecting the top 25 collaborators of Subhasree Nag. A scholar is included among the top collaborators of Subhasree Nag 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 Subhasree Nag. Subhasree Nag 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.
Smith, Jordan N., et al.. (2017). In vitro metabolism of benzo[a]pyrene-7,8-dihydrodiol and dibenzo[def,p]chrysene-11,12 diol in rodent and human hepatic microsomes. Toxicology Letters. 269. 23–32. 19 indexed citations
2.
Wang, Wei, Subhasree Nag, & Ruiwen Zhang. (2016). Pharmacokinetics and Pharmacodynamics in Breast Cancer Animal Models. Methods in molecular biology. 1406. 271–287. 3 indexed citations
3.
Yu, Junxian, Sukesh Voruganti, Dandan Li, et al.. (2015). Development and validation of an HPLC-MS/MS analytical method for quantitative analysis of TCBA-TPQ, a novel anticancer makaluvamine analog, and application in a pharmacokinetic study in rats. Chinese Journal of Natural Medicines. 13(7). 554–560. 3 indexed citations
4.
Wang, Wei, Jiang‐Jiang Qin, Sukesh Voruganti, et al.. (2015). Polycomb Group (PcG) Proteins and Human Cancers: Multifaceted Functions and Therapeutic Implications. Medicinal Research Reviews. 35(6). 1220–1267. 84 indexed citations
5.
6.
Wang, Wei, Jiang‐Jiang Qin, Sukesh Voruganti, et al.. (2014). The pyrido[b]indole MDM2 inhibitor SP-141 exerts potent therapeutic effects in breast cancer models. Nature Communications. 5(1). 5086–5086. 81 indexed citations
7.
Qin, Jiang‐Jiang, Subhasree Nag, Jianwei Zhou, et al.. (2014). NFAT as cancer target: Mission possible?. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1846(2). 297–311. 99 indexed citations
8.
Nag, Subhasree, et al.. (2014). Targeting MDM2-p53 Interaction for Cancer Therapy: Are We There Yet?. Current Medicinal Chemistry. 21(5). 553–574. 119 indexed citations
9.
Nag, Subhasree, Jiang‐Jiang Qin, Shivaputra A. Patil, et al.. (2014). A quantitative LC-MS/MS method for determination of SP-141, a novel pyrido[b]indole anticancer agent, and its application to a mouse PK study. Journal of Chromatography B. 969. 235–240. 6 indexed citations
10.
Wang, Wei, Subhasree Nag, & Ruiwen Zhang. (2014). Targeting the NFκB Signaling Pathways for Breast Cancer Prevention and Therapy. Current Medicinal Chemistry. 22(2). 264–289. 206 indexed citations
11.
Wang, Wei, Jianwen Cheng, Jiang‐Jiang Qin, et al.. (2014). RYBP expression is associated with better survival of patients with hepatocellular carcinoma (HCC) and responsiveness to chemotherapy of HCC cells in vitro and in vivo. Oncotarget. 5(22). 11604–11619. 45 indexed citations
12.
Nag, Subhasree, et al.. (2013). The MDM2-p53 pathway revisited. Journal of Biomedical Research. 27(4). 254–254. 311 indexed citations
13.
Qian, Biyun, Subhasree Nag, Sukesh Voruganti, et al.. (2013). miRNAs in Cancer Prevention and Treatment and as Molecular Targets for Natural Product Anticancer Agents. Current Cancer Drug Targets. 13(5). 519–541. 26 indexed citations
14.
Qin, Jiang‐Jiang, Hui‐Zi Jin, Ying Huang, et al.. (2013). Selective cytotoxicity, inhibition of cell cycle progression, and induction of apoptosis in human breast cancer cells by sesquiterpenoids from Inula lineariifolia Turcz.. European Journal of Medicinal Chemistry. 68. 473–481. 39 indexed citations
15.
Yu, Junxian, Subhasree Nag, & Ruiwen Zhang. (2013). Advances in Translational Pharmacological Investigations in Identifying and Validating Molecular Targets of Natural Product Anticancer Agents. Current Cancer Drug Targets. 13(5). 596–609. 9 indexed citations
16.
Nag, Subhasree, Jiang‐Jiang Qin, Sukesh Voruganti, et al.. (2012). Anticancer Activity and Molecular Mechanisms of Action of Makaluvamines and Analogues. 4(2). 69–81. 7 indexed citations
17.
Wang, Wei, Ao Lin, Elizabeth R. Rayburn, et al.. (2012). KCN1, a Novel Synthetic Sulfonamide Anticancer Agent: In Vitro and In Vivo Anti-Pancreatic Cancer Activities and Preclinical Pharmacology. PLoS ONE. 7(9). e44883–e44883. 28 indexed citations
18.
Wang, Wei, Xu Zhang, Jiang‐Jiang Qin, et al.. (2012). Natural Product Ginsenoside 25-OCH3-PPD Inhibits Breast Cancer Growth and Metastasis through Down-Regulating MDM2. PLoS ONE. 7(7). e41586–e41586. 76 indexed citations
19.
Qin, Jiang‐Jiang, et al.. (2012). Natural Product MDM2 Inhibitors: Anticancer Activity and Mechanisms of Action. Current Medicinal Chemistry. 19(33). 5705–5725. 49 indexed citations
20.

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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