Moying Tang

923 total citations
12 papers, 746 citations indexed

About

Moying Tang is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Moying Tang has authored 12 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Oncology. Recurrent topics in Moying Tang's work include RNA modifications and cancer (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Cancer-related gene regulation (4 papers). Moying Tang is often cited by papers focused on RNA modifications and cancer (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Cancer-related gene regulation (4 papers). Moying Tang collaborates with scholars based in Chile, Spain and United States. Moying Tang's co-authors include Montse Sánchez‐Céspedes, Fernando López‐Ríos, Esther Conde, Ignacio I. Wistuba, Bárbara Angulo, Raquel Blanco, Juan Torres‐Lanzas, Pedro P. Medina, John D. Minna and Sergio Báez and has published in prestigious journals such as Oncogene, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Moying Tang

12 papers receiving 731 citations

Peers

Moying Tang
J. Zha United States
Sónia Moniz Portugal
Haley Ellis United States
Byungho Lim South Korea
Ross S. Thomas Australia
Paul‐Joseph Aspuria United States
Kavitha Ramachandran United States
Moying Tang
Citations per year, relative to Moying Tang Moying Tang (= 1×) peers Dustin J. Flanagan

Countries citing papers authored by Moying Tang

Since Specialization
Citations

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

Fields of papers citing papers by Moying Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moying Tang

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

All Works

12 of 12 papers shown
1.
Yu, Jun, Etmar Bulk, Ping Ji, et al.. (2010). The EPHB6 Receptor Tyrosine Kinase Is a Metastasis Suppressor That Is Frequently Silenced by Promoter DNA Hypermethylation in Non–Small Cell Lung Cancer. Clinical Cancer Research. 16(8). 2275–2283. 69 indexed citations
2.
Blanco, Raquel, Reika Iwakawa, Moying Tang, et al.. (2009). A gene-alteration profile of human lung cancer cell lines. Human Mutation. 30(8). 1199–1206. 102 indexed citations
3.
Suárez‐Gauthier, Ana, Fernando López‐Ríos, Pedro P. Medina, et al.. (2007). Expression signatures in lung cancer reveal a profile for EGFR ‐mutant tumours and identify selective PIK3CA overexpression by gene amplification. The Journal of Pathology. 214(3). 347–356. 86 indexed citations
4.
Tang, Moying, Juan Torres‐Lanzas, Fernando López‐Ríos, Manel Esteller, & Montse Sánchez‐Céspedes. (2006). Wnt signaling promoter hypermethylation distinguishes lung primary adenocarcinomas from colorectal metastasis to the lung. International Journal of Cancer. 119(11). 2603–2606. 31 indexed citations
5.
Carretero, Julián, Pedro P. Medina, Raquel Blanco, et al.. (2006). Dysfunctional AMPK activity, signalling through mTOR and survival in response to energetic stress in LKB1-deficient lung cancer. Oncogene. 26(11). 1616–1625. 117 indexed citations
6.
Riquelme, Erick, et al.. (2006). Frequent epigenetic inactivation of chromosome 3p candidate tumor suppressor genes in gallbladder carcinoma. Cancer Letters. 250(1). 100–106. 43 indexed citations
7.
Conde, Esther, Bárbara Angulo, Moying Tang, et al.. (2006). Molecular Context of theEGFRMutations: Evidence for the Activation of mTOR/S6K Signaling. Clinical Cancer Research. 12(3). 710–717. 102 indexed citations
8.
Tang, Moying, et al.. (2004). Mitochondrial DNA Mutation at the D310 (Displacement Loop) Mononucleotide Sequence in the Pathogenesis of Gallbladder Carcinoma. Clinical Cancer Research. 10(3). 1041–1046. 48 indexed citations
9.
Torres, Patricio, et al.. (2004). Introduced and Native Fishes as Infection Foci of Diphyllobothrium spp. in Humans and Dogs from Two Localities at Lake Panguipulli in Southern Chile. Comparative Parasitology. 71(2). 111–117. 32 indexed citations
10.
Tang, Moying, et al.. (2003). Microsatellite Analysis of Synchronous and Metachronous Tumors. Diagnostic Molecular Pathology. 12(3). 151–159. 22 indexed citations
11.
Wistuba, Ignacio I., Anirban Maitra, Moying Tang, et al.. (2002). High resolution chromosome 3p, 8p, 9q and 22q allelotyping analysis in the pathogenesis of gallbladder carcinoma. British Journal of Cancer. 87(4). 432–440. 37 indexed citations
12.
Wistuba, Ignacio I., Moying Tang, Anirban Maitra, et al.. (2001). Genome-wide allelotyping analysis reveals multiple sites of allelic loss in gallbladder carcinoma.. PubMed. 61(9). 3795–800. 57 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026