Nancy Lan Guo

2.9k total citations
64 papers, 2.3k citations indexed

About

Nancy Lan Guo is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nancy Lan Guo has authored 64 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 18 papers in Cancer Research and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nancy Lan Guo's work include Gene expression and cancer classification (14 papers), RNA modifications and cancer (13 papers) and Bioinformatics and Genomic Networks (12 papers). Nancy Lan Guo is often cited by papers focused on Gene expression and cancer classification (14 papers), RNA modifications and cancer (13 papers) and Bioinformatics and Genomic Networks (12 papers). Nancy Lan Guo collaborates with scholars based in United States, China and Australia. Nancy Lan Guo's co-authors include Yong Qian, Vincent Castranova, Dale W. Porter, Maricica Pacurari, Val Vallyathan, Xianglin Shi, Ying‐Wooi Wan, Brandi N. Snyder‐Talkington, Diane Schwegler‐Berry and Daniel C. Flynn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and PLoS ONE.

In The Last Decade

Nancy Lan Guo

61 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nancy Lan Guo United States 27 770 545 520 461 357 64 2.3k
Zhen Zou China 28 1.0k 1.3× 497 0.9× 355 0.7× 361 0.8× 477 1.3× 106 2.6k
Jing An China 31 1.0k 1.3× 607 1.1× 699 1.3× 509 1.1× 474 1.3× 142 3.1k
Atsuya Takagi Japan 22 1.3k 1.7× 584 1.1× 495 1.0× 380 0.8× 218 0.6× 43 2.6k
Chien‐Hung Chen Taiwan 21 828 1.1× 864 1.6× 259 0.5× 227 0.5× 126 0.4× 57 2.6k
Tsui‐Chun Tsou Taiwan 32 654 0.8× 217 0.4× 947 1.8× 237 0.5× 155 0.4× 79 2.4k
Yongbo Yu China 27 799 1.0× 830 1.5× 351 0.7× 341 0.7× 144 0.4× 105 2.8k
Arti Shukla United States 33 918 1.2× 257 0.5× 626 1.2× 297 0.6× 1.2k 3.3× 73 2.8k
Sabina Halappanavar Canada 40 838 1.1× 1.5k 2.7× 1.4k 2.7× 472 1.0× 418 1.2× 94 3.6k
Liang Zhang China 25 820 1.1× 225 0.4× 306 0.6× 321 0.7× 466 1.3× 170 2.3k
Maricica Pacurari United States 17 346 0.4× 768 1.4× 400 0.8× 197 0.4× 192 0.5× 32 1.7k

Countries citing papers authored by Nancy Lan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Lan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy Lan Guo. 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 Nancy Lan Guo. The network helps show where Nancy Lan Guo may publish in the future.

Co-authorship network of co-authors of Nancy Lan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy Lan Guo. A scholar is included among the top collaborators of Nancy Lan Guo 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 Nancy Lan Guo. Nancy Lan Guo 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.
Ye, Qing, et al.. (2023). MicroRNA-Based Discovery of Biomarkers, Therapeutic Targets, and Repositioning Drugs for Breast Cancer. Cells. 12(14). 1917–1917. 9 indexed citations
2.
Ye, Qing, et al.. (2023). MicroRNA, mRNA, and Proteomics Biomarkers and Therapeutic Targets for Improving Lung Cancer Treatment Outcomes. Cancers. 15(8). 2294–2294. 9 indexed citations
3.
Guo, Nancy Lan, Aijun Yang, Lindsay DeVorkin, et al.. (2023). CD8 + T cell infiltration is associated with improved survival and negatively correlates with hypoxia in clear cell ovarian cancer. Scientific Reports. 13(1). 6530–6530. 8 indexed citations
4.
Xu, Junji, Peter Zanvit, Lei Hu, et al.. (2020). The Cytokine TGF-β Induces Interleukin-31 Expression from Dermal Dendritic Cells to Activate Sensory Neurons and Stimulate Wound Itching. Immunity. 53(2). 371–383.e5. 81 indexed citations
5.
Guo, Nancy Lan, Dhimiter Bello, Qing Ye, et al.. (2020). Pilot deep RNA sequencing of worker blood samples from Singapore printing industry for occupational risk assessment. NanoImpact. 19. 100248–100248. 11 indexed citations
7.
Iranmanesh, Seyed Mehdi & Nancy Lan Guo. (2014). Integrated DNA Copy Number and Gene Expression Regulatory Network Analysis of Non-small Cell Lung Cancer Metastasis. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Pacurari, Maricica, Joseph Addison, Ying-Wooi Wan, et al.. (2013). The microRNA-200 family targets multiple non-small cell lung cancer prognostic markers in H1299 cells and BEAS-2B cells. International Journal of Oncology. 43(2). 548–560. 72 indexed citations
10.
Snyder‐Talkington, Brandi N., Yong Qian, Vincent Castranova, & Nancy Lan Guo. (2012). New Perspectives for in Vitro Risk Assessment of Multiwalled Carbon Nanotubes: Application of Coculture and Bioinformatics. Journal of Toxicology and Environmental Health Part B. 15(7). 468–492. 55 indexed citations
11.
Guo, Nancy Lan & Ying‐Wooi Wan. (2012). Pathway-based identification of a smoking associated 6-gene signature predictive of lung cancer risk and survival. Artificial Intelligence in Medicine. 55(2). 97–105. 19 indexed citations
12.
Guo, Nancy Lan, Ying‐Wooi Wan, James Denvir, et al.. (2012). Multiwalled Carbon Nanotube-Induced Gene Signatures in the Mouse Lung: Potential Predictive Value for Human Lung Cancer Risk and Prognosis. Journal of Toxicology and Environmental Health. 75(18). 1129–1153. 66 indexed citations
13.
Guo, Nancy Lan. (2011). Network Medicine: New Paradigm in the -Omics Era. PubMed. 1(1). 3 indexed citations
15.
Wan, Ying-Wooi, David G. Beer, & Nancy Lan Guo. (2011). Signaling pathway-based identification of extensive prognostic gene signatures for lung adenocarcinoma. Lung Cancer. 76(1). 98–105. 20 indexed citations
16.
Guo, Nancy Lan, et al.. (2011). Association of Arsenic Exposure with Lung Cancer Incidence Rates in the United States. PLoS ONE. 6(10). e25886–e25886. 83 indexed citations
17.
Wan, Ying‐Wooi, et al.. (2010). Network-based identification of smoking-associated gene signature for lung cancer. PubMed. 302. 479–484. 2 indexed citations
18.
Guo, Nancy Lan, Kürşad Tosun, & Kimberly Horn. (2009). Impact and interactions between smoking and traditional prognostic factors in lung cancer progression. Lung Cancer. 66(3). 386–392. 35 indexed citations
19.
Apopa, Patrick L., Yong Qian, Rong Shao, et al.. (2009). Iron oxide nanoparticles induce human microvascular endothelial cell permeability through reactive oxygen species production and microtubule remodeling. Particle and Fibre Toxicology. 6(1). 1–1. 390 indexed citations
20.
Guo, Nancy Lan, Ying-Wooi Wan, Kürşad Tosun, et al.. (2008). Confirmation of Gene Expression–Based Prediction of Survival in Non–Small Cell Lung Cancer. Clinical Cancer Research. 14(24). 8213–8220. 81 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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