Rentian Feng

1.9k total citations
34 papers, 1.5k citations indexed

About

Rentian Feng is a scholar working on Molecular Biology, Hematology and Pharmacology. According to data from OpenAlex, Rentian Feng has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Hematology and 10 papers in Pharmacology. Recurrent topics in Rentian Feng's work include Multiple Myeloma Research and Treatments (12 papers), Phytochemicals and Antioxidant Activities (8 papers) and Cannabis and Cannabinoid Research (6 papers). Rentian Feng is often cited by papers focused on Multiple Myeloma Research and Treatments (12 papers), Phytochemicals and Antioxidant Activities (8 papers) and Cannabis and Cannabinoid Research (6 papers). Rentian Feng collaborates with scholars based in United States, China and Taiwan. Rentian Feng's co-authors include Linda Bowman, Min Ding, Yongju Lu, Vincent Castranova, Shiow Y. Wang, Yong Qian, Suzanne Lentzsch, Xiao-Ming Yin, Markus Y. Mapara and Xianglin Shi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.

In The Last Decade

Rentian Feng

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rentian Feng United States 17 668 421 235 233 153 34 1.5k
Shoko Kobayashi Japan 23 519 0.8× 392 0.9× 206 0.9× 166 0.7× 123 0.8× 56 1.6k
Yumiko Yasui Japan 30 1.1k 1.6× 331 0.8× 291 1.2× 239 1.0× 283 1.8× 74 2.5k
Syu‐ichi Kanno Japan 21 810 1.2× 155 0.4× 181 0.8× 278 1.2× 132 0.9× 57 1.6k
Yeo‐Pyo Yun South Korea 32 1.3k 1.9× 377 0.9× 350 1.5× 394 1.7× 199 1.3× 95 2.7k
Kohji Yamaki Japan 23 709 1.1× 259 0.6× 230 1.0× 364 1.6× 82 0.5× 83 1.9k
Tack‐Joong Kim South Korea 27 1.1k 1.7× 188 0.4× 221 0.9× 212 0.9× 124 0.8× 104 2.1k
Yen‐Chou Chen Taiwan 24 1.5k 2.2× 254 0.6× 372 1.6× 665 2.9× 224 1.5× 44 2.5k
Gérard Lescoat France 22 515 0.8× 395 0.9× 177 0.8× 128 0.5× 188 1.2× 76 1.9k
Husain Yar Khan United States 19 645 1.0× 244 0.6× 155 0.7× 119 0.5× 208 1.4× 57 1.3k
Seung Ho Lee South Korea 23 937 1.4× 127 0.3× 356 1.5× 130 0.6× 207 1.4× 74 1.7k

Countries citing papers authored by Rentian Feng

Since Specialization
Citations

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

Fields of papers citing papers by Rentian Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rentian Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Rentian Feng. A scholar is included among the top collaborators of Rentian Feng 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 Rentian Feng. Rentian Feng 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.
Li, Lin, Shaofeng Xu, Rentian Feng, et al.. (2017). Multifunctional Compound AD-35 Improves Cognitive Impairment and Attenuates the Production of TNF-α and IL-1β in an Aβ 25–35 -induced Rat Model of Alzheimer’s Disease. Journal of Alzheimer s Disease. 56(4). 1403–1417. 18 indexed citations
2.
Feng, Rentian, Qin Tong, Zhaojun Xie, et al.. (2015). Targeting cannabinoid receptor‐2 pathway by phenylacetylamide suppresses the proliferation of human myeloma cells through mitotic dysregulation and cytoskeleton disruption. Molecular Carcinogenesis. 54(12). 1796–1806. 9 indexed citations
3.
Feng, Rentian, Christine Milcarek, & Xiang‐Qun Xie. (2014). Antagonism of cannabinoid receptor 2 pathway suppresses IL-6-induced immunoglobulin IgM secretion. BMC Pharmacology and Toxicology. 15(1). 30–30. 10 indexed citations
4.
Ouyang, Qin, et al.. (2013). Trisubstituted Sulfonamides: A New Chemotype for Development of Potent and Selective CB2Receptor Inverse Agonists. ACS Medicinal Chemistry Letters. 4(4). 387–392. 15 indexed citations
5.
Li, Shirong, Rentian Feng, Huihui Ma, et al.. (2012). Matrix Metalloproteinase 13 (MMP13) Upregulation Is Essential for Multiple Myeloma Related Bone Lytic Lesion. Blood. 120(21). 4025–4025. 1 indexed citations
6.
Feng, Rentian, et al.. (2012). Mistic and TarCF as fusion protein partners for functional expression of the cannabinoid receptor 2 in Escherichia coli. Protein Expression and Purification. 83(2). 128–134. 14 indexed citations
7.
Feng, Rentian, Shirong Li, Caisheng Lu, et al.. (2011). Targeting the Microtubular Network as a New Antimyeloma Strategy. Molecular Cancer Therapeutics. 10(10). 1886–1896. 23 indexed citations
8.
9.
Feng, Rentian, et al.. (2010). Cell-based and cytokine-directed chemical screen to identify potential anti-multiple myeloma agents. Leukemia Research. 34(7). 917–924. 8 indexed citations
10.
Feng, Rentian, Shiow Y. Wang, Ying-Hong Shi, Jia Fan, & Xiao-Ming Yin. (2009). Delphinidin Induces Necrosis in Hepatocellular Carcinoma Cells in the Presence of 3-Methyladenine, an Autophagy Inhibitor. Journal of Agricultural and Food Chemistry. 58(7). 3957–3964. 47 indexed citations
11.
Feng, Rentian, et al.. (2007). The histone deacetylase inhibitor, PXD101, potentiates bortezomib‐induced anti‐multiple myeloma effect by induction of oxidative stress and DNA damage. British Journal of Haematology. 139(3). 385–397. 98 indexed citations
12.
Feng, Rentian, Hong-Min Ni, Shiow Y. Wang, et al.. (2007). Cyanidin-3-rutinoside, a Natural Polyphenol Antioxidant, Selectively Kills Leukemic Cells by Induction of Oxidative Stress. Journal of Biological Chemistry. 282(18). 13468–13476. 181 indexed citations
13.
Feng, Rentian, Wei He, Hirotomo Ochi, & Vincent Castranova. (2006). Ozone Exposure Impairs Antigen-Specific Immunity but Activates IL-7-Induced Proliferation of CD4−CD8−Thymocytes in Balb/cMice. Journal of Toxicology and Environmental Health. 69(16). 1511–1526. 3 indexed citations
14.
15.
16.
Wang, Shiow Y., Rentian Feng, Yongju Lu, Linda Bowman, & Min Ding. (2005). Inhibitory Effect on Activator Protein-1, Nuclear Factor-KappaB, and Cell Transformation by Extracts of Strawberries (Fragaria × ananassa Duch.). Journal of Agricultural and Food Chemistry. 53(10). 4187–4193. 64 indexed citations
17.
18.
Feng, Rentian, Yongju Lu, Linda Bowman, et al.. (2005). Inhibition of Activator Protein-1, NF-κB, and MAPKs and Induction of Phase 2 Detoxifying Enzyme Activity by Chlorogenic Acid. Journal of Biological Chemistry. 280(30). 27888–27895. 319 indexed citations
19.
Feng, Rentian, Linda Bowman, Yongju Lu, et al.. (2004). Blackberry Extracts Inhibit Activating Protein 1 Activation and Cell Transformation by Perturbing the Mitogenic Signaling Pathway. Nutrition and Cancer. 50(1). 80–89. 23 indexed citations
20.
Feng, Rentian, Wei He, & Hirotomo Ochi. (2001). A new murine oxidative stress model associated with senescence. Mechanisms of Ageing and Development. 122(6). 547–559. 60 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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