Feng‐Yao Tang

1.1k total citations
38 papers, 891 citations indexed

About

Feng‐Yao Tang is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Feng‐Yao Tang has authored 38 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Rheumatology and 7 papers in Cancer Research. Recurrent topics in Feng‐Yao Tang's work include Folate and B Vitamins Research (9 papers), Epigenetics and DNA Methylation (6 papers) and Tea Polyphenols and Effects (4 papers). Feng‐Yao Tang is often cited by papers focused on Folate and B Vitamins Research (9 papers), Epigenetics and DNA Methylation (6 papers) and Tea Polyphenols and Effects (4 papers). Feng‐Yao Tang collaborates with scholars based in Taiwan, United States and China. Feng‐Yao Tang's co-authors include Mohsen Meydani, En‐Pei Isabel Chiang, Nhan Trung Nguyen, Yueh‐Hsiung Kuo, Yi‐Cheng Wang, Weiwen Chen, Hsin‐Jung Ho, Li‐Hao Cheng, Fuyu Wang and Yu‐Ching Su and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Feng‐Yao Tang

38 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng‐Yao Tang Taiwan 16 455 189 145 119 96 38 891
Yuki Kawakami Japan 22 396 0.9× 269 1.4× 87 0.6× 126 1.1× 57 0.6× 47 1.2k
Tin K. Mao United States 16 296 0.7× 295 1.6× 177 1.2× 72 0.6× 41 0.4× 23 1.3k
Chengmu Hu China 18 387 0.9× 62 0.3× 90 0.6× 72 0.6× 60 0.6× 33 848
Allan Lançon France 14 638 1.4× 153 0.8× 127 0.9× 143 1.2× 40 0.4× 18 1.3k
Hye Yeon Choi South Korea 12 362 0.8× 165 0.9× 75 0.5× 51 0.4× 36 0.4× 17 983
Narayanan K. Narayanan United States 16 529 1.2× 82 0.4× 183 1.3× 83 0.7× 38 0.4× 22 1.2k
Xin Han China 20 460 1.0× 61 0.3× 96 0.7× 124 1.0× 27 0.3× 59 1.1k
Huxinyue Duan China 12 527 1.2× 64 0.3× 130 0.9× 45 0.4× 36 0.4× 23 1.0k
H Wei United States 10 321 0.7× 109 0.6× 103 0.7× 306 2.6× 29 0.3× 12 1.0k
Eswar Shankar United States 24 799 1.8× 107 0.6× 292 2.0× 102 0.9× 32 0.3× 50 1.4k

Countries citing papers authored by Feng‐Yao Tang

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Yao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng‐Yao Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Yao Tang. A scholar is included among the top collaborators of Feng‐Yao 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 Feng‐Yao Tang. Feng‐Yao Tang 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.
Liu, Guoqing, et al.. (2025). Stress hyperglycemia in acute pancreatitis: From mechanisms to prognostic implications. Life Sciences. 365. 123469–123469. 2 indexed citations
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Chiang, En‐Pei Isabel, Raymond L. Rodriguez, Wei‐Jan Wang, et al.. (2022). N-3 polyunsaturated fatty acids block the trimethylamine-N-oxide- ACE2- TMPRSS2 cascade to inhibit the infection of human endothelial progenitor cells by SARS-CoV-2. The Journal of Nutritional Biochemistry. 109. 109102–109102. 9 indexed citations
5.
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Lee, Der‐Yen, Hung‐Chang Hung, Chia-Ying Li, et al.. (2021). Docosahexaenoic Acid Inhibits Cell Proliferation through a Suppression of c-Myc Protein in Pancreatic Ductal Adenocarcinoma Cells. Antioxidants. 10(11). 1721–1721. 1 indexed citations
7.
Chu, Pei‐Yi, et al.. (2021). MAT2A Localization and Its Independently Prognostic Relevance in Breast Cancer Patients. International Journal of Molecular Sciences. 22(10). 5382–5382. 15 indexed citations
8.
Kuo, Yueh‐Hsiung, et al.. (2020). Decyl caffeic acid inhibits the proliferation of colorectal cancer cells in an autophagy-dependent manner in vitro and in vivo. PLoS ONE. 15(5). e0232832–e0232832. 20 indexed citations
9.
Chu, Pei‐Yi, et al.. (2020). Expression of MTDH and IL-10 Is an Independent Predictor of Worse Prognosis in ER-Negative or PR-Negative Breast Cancer Patients. Journal of Clinical Medicine. 9(10). 3153–3153. 11 indexed citations
10.
Wang, Yi‐Cheng, Feng‐Yao Tang, Der‐Yuan Chen, et al.. (2019). MTHFRC677T polymorphism increases MTX sensitivity via the inhibition ofS-adenosylmethionine andde novopurine synthesis. Clinical Science. 133(2). 253–267. 11 indexed citations
11.
Chang, Chiz‐Tzung, Yun-Ping Lim, Chia‐Ming Chang, et al.. (2018). PON-1 carbamylation is enhanced in HDL of uremia patients. Journal of Food and Drug Analysis. 27(2). 542–550. 14 indexed citations
12.
Chiang, En‐Pei Isabel, et al.. (2015). The role of Glycine N‐methyltransferase (GNMT) in cellular 1‐carbon metabolism. The FASEB Journal. 29(S1). 2 indexed citations
13.
Wang, Yi‐Cheng, et al.. (2015). Regulation of Folate-Mediated One-Carbon Metabolism by Glycine <i>N</i>-Methyltransferase (GNMT) and Methylenetetrahydrofolate Reductase (MTHFR). Journal of Nutritional Science and Vitaminology. 61(Supplement). S148–S150. 14 indexed citations
14.
Tang, Feng‐Yao, Man‐Hui Pai, En‐Pei Isabel Chiang, & Xiangdong Wang. (2013). Lycopene inhibits the proliferation and progression of human colon cancer cells in both in vitro and in vivo models. The FASEB Journal. 27(S1). 1 indexed citations
15.
Tang, Feng‐Yao, et al.. (2013). Clinical use of cyclooxygenase inhibitors impairs vitamin B-6 metabolism. American Journal of Clinical Nutrition. 98(6). 1440–1449. 14 indexed citations
16.
Tang, Feng‐Yao, et al.. (2012). Abstract 5428: Consumption of S-allylcysteine inhibits tumor growth and progression in a mouse xenograft model of oral cancer. Cancer Research. 72(8_Supplement). 5428–5428. 1 indexed citations
17.
Tang, Feng‐Yao, et al.. (2008). Lycopene inhibits growth of human colon cancer cells via suppression of the Akt signaling pathway. Molecular Nutrition & Food Research. 52(6). 646–654. 93 indexed citations
18.
Tang, Feng‐Yao, et al.. (2008). Resveratrol inhibits migration and invasion of human breast‐cancer cells. Molecular Nutrition & Food Research. 52(6). 683–691. 66 indexed citations
19.
Tang, Feng‐Yao, et al.. (2006). Green tea catechin inhibits ephrin-A1-mediated cell migration and angiogenesis of human umbilical vein endothelial cells. The Journal of Nutritional Biochemistry. 18(6). 391–399. 58 indexed citations
20.
Tang, Feng‐Yao, Nhan Trung Nguyen, & Mohsen Meydani. (2003). Green tea catechins inhibit VEGF‐induced angiogenesis in vitro through suppression of VE‐cadherin phosphorylation and inactivation of Akt molecule. International Journal of Cancer. 106(6). 871–878. 102 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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