Nicholas Hoe

826 total citations
20 papers, 487 citations indexed

About

Nicholas Hoe is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Nicholas Hoe has authored 20 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Nicholas Hoe's work include Cancer Immunotherapy and Biomarkers (5 papers), Immune cells in cancer (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Nicholas Hoe is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Immune cells in cancer (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Nicholas Hoe collaborates with scholars based in United States, Netherlands and Australia. Nicholas Hoe's co-authors include Daniel Ford, John Tower, Gary N. Landis, Maria Almira Correia, Simon Tavaré, Deepak Bhole, Kevin R. Tozer, Sheila J. Sadeghi, Cam Patterson and Emmanuel J. H. J. Wiertz and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Nicholas Hoe

19 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Hoe United States 10 246 127 98 56 54 20 487
Sarah A. Mosure United States 10 294 1.2× 20 0.2× 54 0.6× 116 2.1× 55 1.0× 11 560
Caroline Heintz United States 12 614 2.5× 165 1.3× 27 0.3× 206 3.7× 15 0.3× 18 849
Srujana Cherukuri United States 10 247 1.0× 48 0.4× 56 0.6× 125 2.2× 24 0.4× 12 655
Seth D. Rhoades United States 12 338 1.4× 27 0.2× 72 0.7× 102 1.8× 49 0.9× 16 610
Ashwin Sriram Germany 12 404 1.6× 93 0.7× 79 0.8× 96 1.7× 56 1.0× 16 657
Madhura Kulkarni United States 16 451 1.8× 78 0.6× 111 1.1× 64 1.1× 19 0.4× 27 820
Jianfei Guo China 14 310 1.3× 16 0.1× 52 0.5× 57 1.0× 11 0.2× 30 714
Hyun Sub Hwang United States 11 267 1.1× 22 0.2× 22 0.2× 60 1.1× 32 0.6× 18 415
Cory U. Lago United States 11 354 1.4× 123 1.0× 112 1.1× 163 2.9× 14 0.3× 12 582
Joshua Wilson‐Grady United States 9 385 1.6× 42 0.3× 41 0.4× 55 1.0× 32 0.6× 9 546

Countries citing papers authored by Nicholas Hoe

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Hoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Hoe

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Hoe. A scholar is included among the top collaborators of Nicholas Hoe 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 Nicholas Hoe. Nicholas Hoe 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.
Juncker‐Jensen, Anna, et al.. (2019). Using a multiplexed immunofluorescence approach to compare immune cell populations in subtypes of non-small cell lung cancer.. Journal of Clinical Oncology. 37(15_suppl). e20702–e20702. 3 indexed citations
2.
Juncker‐Jensen, Anna, et al.. (2019). Quantitative image profiling of the tumor microenvironment on double stained immunohistochemistry images using deep learning.. Journal of Clinical Oncology. 37(15_suppl). e14619–e14619. 2 indexed citations
3.
Au, Qingyan, et al.. (2019). Abstract 497: Characterization of TIGIT expression using MultiOmyxTM hyperplexed immunofluorescence assay in solid tumors. Cancer Research. 79(13_Supplement). 497–497. 1 indexed citations
4.
Fang, Jun, et al.. (2018). Abstract 2256: Efficient large-scale cell classification and analysis for MultiOmyxTMassays: A deep learning approach. Cancer Research. 78(13_Supplement). 2256–2256.
5.
6.
Juncker‐Jensen, Anna, Junwei Fang, Shuai Zhu, et al.. (2018). Using MultiOmyx™ to analyze correlations between immunosuppressive cells and tumor-infiltrating lymphocytes in the pancreatic tumor microenvironment. Annals of Oncology. 29. viii422–viii422. 1 indexed citations
7.
Au, Qingyan, et al.. (2016). Abstract 4146: MultiOmyx multiplexed tumor infiltrating lymphocyte panel provides comprehensive immunophenotyping from a single FFPE slide. Cancer Research. 76(14_Supplement). 4146–4146. 1 indexed citations
8.
9.
Jones, Michael, William D. Chey, Sandeep Kumar Singh, et al.. (2014). A biomarker panel and psychological morbidity differentiates the irritable bowel syndrome from health and provides novel pathophysiological leads. Alimentary Pharmacology & Therapeutics. 39(4). 426–437. 55 indexed citations
10.
Asbagh, Layka Abbasi, Iria Vázquez, Loredana Vecchione, et al.. (2014). The tyrosine phosphatase PTPRO sensitizes colon cancer cells to anti-EGFR therapy through activation of SRC-mediated EGFR signaling. Oncotarget. 5(20). 10070–10083. 30 indexed citations
11.
Hoe, Nicholas, Yating Ma, Richard Kirkland, et al.. (2013). Abstract 4273: FGFR inhibition modulates ErbB receptor tyrosine phosphorylation in FGFR amplified cell lines.. Cancer Research. 73(8_Supplement). 4273–4273. 1 indexed citations
12.
Ward, Toby M., Elizabeth Iorns, Nicholas Hoe, et al.. (2012). Truncated p110 ERBB2 induces mammary epithelial cell migration, invasion and orthotopic xenograft formation, and is associated with loss of phosphorylated STAT5. Oncogene. 32(19). 2463–2474. 34 indexed citations
13.
Jegg, Anna-Maria, Toby M. Ward, Elizabeth Iorns, et al.. (2012). PI3K independent activation of mTORC1 as a target in lapatinib-resistant ERBB2+ breast cancer cells. Breast Cancer Research and Treatment. 136(3). 683–692. 32 indexed citations
14.
Hoe, Nicholas, Gary N. Landis, Daniel Ford, et al.. (2011). Ubiquitin over-expression phenotypes and ubiquitin gene molecular misreading during aging in Drosophila melanogaster. Aging. 3(3). 237–261. 6 indexed citations
15.
Ford, Daniel, Christopher C. Brown, Nicholas Hoe, et al.. (2009). Hydrogen Peroxide Stimulates Activity and Alters Behavior in Drosophila melanogaster. PLoS ONE. 4(10). e7580–e7580. 31 indexed citations
16.
Hoe, Nicholas, et al.. (2008). CYP3A4 ubiquitination by gp78 (the tumor autocrine motility factor receptor, AMFR) and CHIP E3 ligases. Archives of Biochemistry and Biophysics. 483(1). 66–74. 46 indexed citations
17.
Wang, Yong‐Qiang, Mingxiang Liao, Nicholas Hoe, et al.. (2008). A Role for Protein Phosphorylation in Cytochrome P450 3A4 Ubiquitin-dependent Proteasomal Degradation. Journal of Biological Chemistry. 284(9). 5671–5684. 41 indexed citations
18.
Curtis, Christina, Gary N. Landis, Donna G. Folk, et al.. (2007). Transcriptional profiling of MnSOD-mediated lifespan extension in Drosophilareveals a species-general network of aging and metabolic genes. Genome biology. 8(12). 93–93. 111 indexed citations
19.
Ford, Daniel, Nicholas Hoe, Gary N. Landis, et al.. (2007). Alteration of Drosophila life span using conditional, tissue-specific expression of transgenes triggered by doxycyline or RU486/Mifepristone. Experimental Gerontology. 42(6). 483–497. 76 indexed citations
20.
Hoe, Nicholas, et al.. (1991). Perioperative blood transfusion and survival of breast cancer patients after modified radical mastectomy. Cleveland Clinic Journal of Medicine. 58(6). 515–519. 10 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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