Margaret Lobo

726 total citations
8 papers, 599 citations indexed

About

Margaret Lobo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Margaret Lobo has authored 8 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Margaret Lobo's work include Cancer, Lipids, and Metabolism (4 papers), RNA modifications and cancer (1 paper) and Virus-based gene therapy research (1 paper). Margaret Lobo is often cited by papers focused on Cancer, Lipids, and Metabolism (4 papers), RNA modifications and cancer (1 paper) and Virus-based gene therapy research (1 paper). Margaret Lobo collaborates with scholars based in United States, South Korea and Spain. Margaret Lobo's co-authors include Michael J. Campbell, Laura J. Esserman, Yamei Zhou, Lance A. Liotta, Anjali S. Kumar, Mark Shoemaker, Christopher C. Benz, Kelly Adduci, Emanuel F. Petricoin and Frederick L. Baehner and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Margaret Lobo

8 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margaret Lobo United States 6 294 286 173 166 116 8 599
Dean J. Welsch United States 13 188 0.6× 313 1.1× 158 0.9× 60 0.4× 82 0.7× 22 686
Ylenia Perone Italy 8 351 1.2× 397 1.4× 120 0.7× 129 0.8× 205 1.8× 11 819
Takashi Tokizane Japan 12 157 0.5× 503 1.8× 158 0.9× 110 0.7× 74 0.6× 20 800
Noritaka Yabuki Japan 11 135 0.5× 319 1.1× 109 0.6× 195 1.2× 54 0.5× 12 596
Varun Sondhi United States 4 374 1.3× 378 1.3× 177 1.0× 290 1.7× 55 0.5× 4 768
Yuichi Koga Japan 12 105 0.4× 386 1.3× 170 1.0× 162 1.0× 223 1.9× 22 807
Silke Kaulfuß Germany 16 147 0.5× 487 1.7× 190 1.1× 134 0.8× 35 0.3× 33 835
Yongxian Zhuang United States 11 250 0.9× 590 2.1× 264 1.5× 123 0.7× 48 0.4× 18 778
Toran Sanli Canada 10 328 1.1× 769 2.7× 290 1.7× 132 0.8× 61 0.5× 12 986
Jian Kong China 19 345 1.2× 433 1.5× 175 1.0× 129 0.8× 38 0.3× 37 1.0k

Countries citing papers authored by Margaret Lobo

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Lobo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Lobo

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

All Works

8 of 8 papers shown
1.
Gable, Karissa, Betty A. Maddux, Cristina Peñaranda, et al.. (2006). Diarylureas are small-molecule inhibitors of insulin-like growth factor I receptor signaling and breast cancer cell growth. Molecular Cancer Therapeutics. 5(4). 1079–1086. 55 indexed citations
2.
Campbell, Michael J., Laura J. Esserman, Yamei Zhou, et al.. (2006). Breast Cancer Growth Prevention by Statins. Cancer Research. 66(17). 8707–8714. 286 indexed citations
3.
Youngren, Jack, Karissa Gable, Cristina Peñaranda, et al.. (2005). Nordihydroguaiaretic Acid (NDGA) Inhibits the IGF-1 and c-erbB2/HER2/neu Receptors and Suppresses Growth in Breast Cancer Cells. Breast Cancer Research and Treatment. 94(1). 37–46. 92 indexed citations
4.
Park, Jin‐Woo, Rasa Zarnegar, Hajime Kanauchi, et al.. (2005). Troglitazone, the Peroxisome Proliferator-Activated Receptor-γ Agonist, Induces Antiproliferation and Redifferentiation in Human Thyroid Cancer Cell Lines. Thyroid. 15(3). 222–231. 87 indexed citations
5.
Fernández, Eduardo, Carlos Luis Paı́no, Florian Alonso, et al.. (2005). Effects of zoledronic acid in prostate cancer cell lines: A pharmacogenomic approach. Journal of Clinical Oncology. 23(16_suppl). 4782–4782. 1 indexed citations
6.
Park, Jin‐Woo, Michael W. Yeh, Mariwil G. Wong, et al.. (2003). The Heat Shock Protein 90-Binding Geldanamycin Inhibits Cancer Cell Proliferation, Down-Regulates Oncoproteins, and Inhibits Epidermal Growth Factor-Induced Invasion in Thyroid Cancer Cell Lines. The Journal of Clinical Endocrinology & Metabolism. 88(7). 3346–3353. 48 indexed citations
7.
Park, Jin‐Woo, Mariwil G. Wong, Margaret Lobo, et al.. (2003). Modulation of Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand-Induced Apoptosis by Chemotherapy in Thyroid Cancer Cell Lines. Thyroid. 13(12). 1103–1110. 4 indexed citations
8.
Campbell, Michael J., W. Wollish, Margaret Lobo, & Laura J. Esserman. (2002). EPITHELIAL AND FIBROBLAST CELL LINES DERIVED FROM A SPONTANEOUS MAMMARY CARCINOMA IN A MMTV/neu TRANSGENIC MOUSE. In Vitro Cellular & Developmental Biology - Animal. 38(6). 326–326. 26 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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