Weiguang Mao

3.2k total citations
34 papers, 2.0k citations indexed

About

Weiguang Mao is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Weiguang Mao has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Weiguang Mao's work include HER2/EGFR in Cancer Research (5 papers), Genetic factors in colorectal cancer (4 papers) and Algal biology and biofuel production (3 papers). Weiguang Mao is often cited by papers focused on HER2/EGFR in Cancer Research (5 papers), Genetic factors in colorectal cancer (4 papers) and Algal biology and biofuel production (3 papers). Weiguang Mao collaborates with scholars based in United States, China and Canada. Weiguang Mao's co-authors include Guohua Pan, Domenico Coppola, Timothy J. Yeatman, Rosalyn Irby, Alan Zhong, Richard Jove, Jennifer Brush, Sean H. Adams, Steven W. Sherwood and Xing Yu and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Weiguang Mao

31 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Weiguang Mao 1.1k 592 423 355 224 34 2.0k
Steven Swendeman 1.7k 1.5× 599 1.0× 249 0.6× 508 1.4× 283 1.3× 35 2.6k
Nancy Olashaw 2.0k 1.8× 645 1.1× 324 0.8× 347 1.0× 320 1.4× 39 2.9k
Katherine A. Gollahon 1.4k 1.3× 329 0.6× 589 1.4× 584 1.6× 112 0.5× 41 2.7k
Marie–Christine Rio 1.2k 1.2× 488 0.8× 332 0.8× 487 1.4× 235 1.0× 37 2.8k
Kathrin H. Kirsch 1.5k 1.4× 364 0.6× 174 0.4× 410 1.2× 326 1.5× 44 2.2k
Roy Katso 1.9k 1.8× 409 0.7× 167 0.4× 375 1.1× 466 2.1× 15 2.6k
Stefano Fumagalli 3.3k 3.1× 560 0.9× 556 1.3× 331 0.9× 519 2.3× 27 4.1k
Enrico Arpaia 909 0.8× 789 1.3× 172 0.4× 1.2k 3.3× 253 1.1× 20 2.5k
Gibbes R. Johnson 1.2k 1.1× 737 1.2× 111 0.3× 307 0.9× 190 0.8× 42 1.9k
Maria-Magdalena Georgescu 1.8k 1.6× 339 0.6× 194 0.5× 495 1.4× 339 1.5× 29 2.5k

Countries citing papers authored by Weiguang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Weiguang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiguang Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Weiguang Mao. A scholar is included among the top collaborators of Weiguang Mao 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 Weiguang Mao. Weiguang Mao 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.
Mao, Weiguang, et al.. (2025). Methylation Data Analysis and Interpretation. PubMed. 8(1). 605–632.
2.
3.
Wang, Xin, Weiguang Mao, Cai Cheng, et al.. (2024). Photoautotrophic Growth and Cell Division of Euglena gracilis with Mixed Red and Blue Wavelengths. Industrial & Engineering Chemistry Research. 63(11). 4746–4755. 1 indexed citations
4.
Zhang, Shuo, et al.. (2024). MousiPLIER: A Mouse Pathway-Level Information Extractor Model. eNeuro. 11(6). ENEURO.0313–23.2024. 1 indexed citations
5.
Cappuccio, Antonio, Daniel G. Chawla, Xi Chen, et al.. (2022). Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature. Cell Systems. 13(12). 989–1001.e8.
6.
Mao, Weiguang, et al.. (2020). DataRemix: a universal data transformation for optimal inference from gene expression datasets. Bioinformatics. 37(7). 984–991. 4 indexed citations
7.
Kowalczyk, Amanda, Wynn K. Meyer, Raghavendran Partha, et al.. (2019). RERconverge: an R package for associating evolutionary rates with convergent traits. Bioinformatics. 35(22). 4815–4817. 70 indexed citations
8.
Mao, Weiguang, Elena Zaslavsky, Boris Hartmann, Stuart C. Sealfon, & Maria Chikina. (2019). Pathway-level information extractor (PLIER) for gene expression data. Nature Methods. 16(7). 607–610. 55 indexed citations
9.
Dragovich, Peter S., Fabio Broccatelli, Jinhua Chen, et al.. (2017). Design, synthesis, and biological evaluation of pyrrolobenzodiazepine-containing hypoxia-activated prodrugs. Bioorganic & Medicinal Chemistry Letters. 27(23). 5300–5304. 9 indexed citations
10.
Boswell, C. Andrew, Eduardo E. Mundo, Crystal Zhang, et al.. (2012). Differential Effects of Predosing on Tumor and Tissue Uptake of an111In-Labeled Anti-TENB2 Antibody–Drug Conjugate. Journal of Nuclear Medicine. 53(9). 1454–1461. 42 indexed citations
11.
Stéphan, Jean-Philippe, Weiguang Mao, Ellen Filvaroff, et al.. (2003). Albumin Stimulates the Accumulation of Extracellular Matrix in Renal Tubular Epithelial Cells. American Journal of Nephrology. 24(1). 14–19. 33 indexed citations
12.
Pan, Guohua, Dorothy French, Weiguang Mao, et al.. (2001). Forced Expression of Murine IL-17E Induces Growth Retardation, Jaundice, a Th2-Biased Response, and Multiorgan Inflammation in Mice. The Journal of Immunology. 167(11). 6559–6567. 151 indexed citations
13.
Pan, Guohua, Weiguang Mao, Daryl T. Baldwin, et al.. (2001). IL-1H, AN INTERLEUKIN 1-RELATED PROTEIN THAT BINDS IL-18 RECEPTOR/IL-1Rrp. Cytokine. 13(1). 1–7. 171 indexed citations
14.
Irby, Rosalyn, Weiguang Mao, Domenico Coppola, et al.. (1999). Activating SRC mutation in a subset of advanced human colon cancers. Nature Genetics. 21(2). 187–190. 389 indexed citations
15.
Mao, Weiguang, Xing Yu, Alan Zhong, et al.. (1999). UCP4, a novel brain‐specific mitochondrial protein that reduces membrane potential in mammalian cells. FEBS Letters. 443(3). 326–330. 320 indexed citations
16.
Mao, Weiguang, Rosalyn Irby, Domenico Coppola, et al.. (1997). Activation of c-Src by receptor tyrosine kinases in human colon cancer cells with high metastatic potential. Oncogene. 15(25). 3083–3090. 171 indexed citations
17.
Yeatman, Timothy J., Weiguang Mao, & Richard C. Karl. (1997). Biliary glycoprotein is overexpressed in human colon cancer cells with high metastatic potential. Journal of Gastrointestinal Surgery. 1(3). 292–298. 6 indexed citations
18.
Yeatman, Timothy J., Michael L. Cher, Weiguang Mao, Marek Wloch, & Thomas A. Tedesco. (1996). Identification of genetic alterations associated with the process of human experimental colon cancer liver metastasis in the nude mouse. Clinical & Experimental Metastasis. 14(3). 246–252. 14 indexed citations
19.
Mao, Weiguang, et al.. (1995). Identification of a differentially-expressed message associated with colon cancer liver metastasis using an improved method of differential display. Nucleic Acids Research. 23(19). 4007–4008. 25 indexed citations
20.
Yeatman, Timothy J., et al.. (1995). Augmentation of carcinoembryonic antigen release from intact, viable tumor cells by a factor in human serum. Annals of Surgical Oncology. 2(4). 336–342. 3 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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