Ruiwen Fan

916 total citations
31 papers, 666 citations indexed

About

Ruiwen Fan is a scholar working on Cell Biology, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Ruiwen Fan has authored 31 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cell Biology, 15 papers in Nutrition and Dietetics and 7 papers in Molecular Biology. Recurrent topics in Ruiwen Fan's work include melanin and skin pigmentation (21 papers), Biochemical Analysis and Sensing Techniques (15 papers) and Silk-based biomaterials and applications (5 papers). Ruiwen Fan is often cited by papers focused on melanin and skin pigmentation (21 papers), Biochemical Analysis and Sensing Techniques (15 papers) and Silk-based biomaterials and applications (5 papers). Ruiwen Fan collaborates with scholars based in China, United States and Australia. Ruiwen Fan's co-authors include Changsheng Dong, Guiliang Tang, Jun Yan, Xiaoqing Tang, Yiping Mao, Mengmeng Qiao, Yiyou Gu, Changsheng Dong, Haidong Wang and Yanjun Dong and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Ruiwen Fan

29 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiwen Fan China 13 319 290 209 154 153 31 666
Xiuju Yu China 13 238 0.7× 251 0.9× 187 0.9× 97 0.6× 29 0.2× 35 535
Changsheng Dong China 13 198 0.6× 188 0.6× 104 0.5× 94 0.6× 22 0.1× 32 484
Christine Paine United States 5 407 1.3× 102 0.4× 38 0.2× 157 1.0× 23 0.2× 7 611
Naisu Yang China 12 111 0.3× 170 0.6× 91 0.4× 27 0.2× 28 0.2× 33 367
Yinjuan Wang China 11 103 0.3× 117 0.4× 39 0.2× 25 0.2× 60 0.4× 18 376
Bohui Yang China 18 102 0.3× 244 0.8× 237 1.1× 24 0.2× 82 0.5× 50 716
Tomohisa Hirobe Japan 8 265 0.8× 92 0.3× 12 0.1× 155 1.0× 32 0.2× 13 411
Elodie Le Pape United States 6 231 0.7× 124 0.4× 42 0.2× 116 0.8× 8 0.1× 6 364
Hua Gong New Zealand 23 760 2.4× 531 1.8× 128 0.6× 20 0.1× 43 0.3× 54 1.2k
Guangxian Zhou China 16 89 0.3× 331 1.1× 265 1.3× 10 0.1× 38 0.2× 28 750

Countries citing papers authored by Ruiwen Fan

Since Specialization
Citations

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

Fields of papers citing papers by Ruiwen Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiwen Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiwen Fan. A scholar is included among the top collaborators of Ruiwen Fan 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 Ruiwen Fan. Ruiwen Fan 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.
2.
Fan, Ruiwen, et al.. (2024). Identification of loci and candidate genes related to nodulation in soybean. Euphytica. 221(1).
3.
Guo, Xiang, et al.. (2022). Qa-1b functions as an oncogenic factor in mouse melanoma cells. Journal of Dermatological Science. 105(3). 159–169. 3 indexed citations
4.
Fan, Yapeng, Hao Li, Ruiwen Fan, et al.. (2021). ZMFLS1 PROMOTES OXIDATIVE STRESS RESISTANCE BY REGULATING FLAVONOL BIOSYNTHESIS IN TRANSGENIC ARABIDOPSIS THALIANA. The Journal of Animal and Plant Sciences. 31(6). 1652–1658. 1 indexed citations
5.
Du, Bin, et al.. (2020). miRNA-183∼96∼182 regulates melanogenesis, cell proliferation and migration in B16 cells. Acta Histochemica. 122(3). 151508–151508. 11 indexed citations
6.
Li, Xiuqing, Ruifang Wang, Shanshan Yang, et al.. (2019). Cyclin-dependent kinase 5 regulates proliferation, migration, tyrosinase activity, and melanin production in B16-F10 melanoma cells via the essential regulator p-CREB. In Vitro Cellular & Developmental Biology - Animal. 55(6). 416–425. 2 indexed citations
7.
Fan, Ruiwen, et al.. (2018). Differential expression of lncRNAs and predicted target genes in normal mouse melanocytes and B16 cells. Experimental Dermatology. 27(11). 1230–1236. 6 indexed citations
8.
Fan, Ruiwen, et al.. (2018). Long non-coding RNA expression profile in Cdk5-knockdown mouse skin. Gene. 672. 195–201. 13 indexed citations
9.
Yang, Shanshan, et al.. (2017). Cyclin-dependent kinase 5 regulates MAPK/ERK signaling in the skin of mice. Acta Histochemica. 120(1). 15–21. 10 indexed citations
10.
Yang, Shanshan, et al.. (2016). Characterization and expression of soluble guanylate cyclase in skins and melanocytes of sheep. Acta Histochemica. 118(3). 219–224. 1 indexed citations
11.
Zhang, Junxing, Zhengming Zhu, Shuang Yang, et al.. (2016). Role of microRNA508-3p in melanogenesis by targeting microphthalmia transcription factor in melanocytes of alpaca. animal. 11(2). 236–243. 13 indexed citations
12.
Fan, Ruiwen, et al.. (2015). The different expression of endothelin 3 in sheep skins.. 46(11). 2111–2116. 3 indexed citations
13.
Yang, Shanshan, Ruiwen Fan, Zeyu Shi, et al.. (2015). Identification of a novel microRNA important for melanogenesis in alpaca (Vicugna pacos)1. Journal of Animal Science. 93(4). 1622–1631. 18 indexed citations
14.
Yu, Xiuju, Xiao-yan He, Junbing Jiang, et al.. (2015). Expression and tissue distribution of hepatocyte growth factor (HGF) and its receptor (c-Met) in alpacas (Vicugna pacos) skins associated with white and brown coat colors. Acta Histochemica. 117(7). 624–628. 6 indexed citations
15.
Fan, Ruiwen, Haidong Wang, Tian Xue, et al.. (2013). Skin transcriptome profiles associated with coat color in sheep. BMC Genomics. 14(1). 389–389. 70 indexed citations
16.
Tang, Guiliang, Jun Yan, Yiyou Gu, et al.. (2012). Construction of short tandem target mimic (STTM) to block the functions of plant and animal microRNAs. Methods. 58(2). 118–125. 159 indexed citations
17.
Dong, Changsheng, Haidong Wang, Yanjun Dong, et al.. (2012). Coat color determination by miR-137 mediated down-regulation of microphthalmia-associated transcription factor in a mouse model. RNA. 18(9). 1679–1686. 82 indexed citations
18.
Xue, Tian, Junbing Jiang, Ruiwen Fan, et al.. (2012). Identification and characterization of microRNAs in white and brown alpaca skin. BMC Genomics. 13(1). 555–555. 42 indexed citations
19.
Dong, Yanjun, Haidong Wang, Jie Zhang, et al.. (2010). Nitric oxide enhances the sensitivity of alpaca melanocytes to respond to α-melanocyte-stimulating hormone by up-regulating melanocortin-1 receptor. Biochemical and Biophysical Research Communications. 396(4). 849–853. 29 indexed citations
20.
Zhu, Zhiwei, Junping He, Xiaoyun Jia, et al.. (2009). MicroRNA-25 functions in regulation of pigmentation by targeting the transcription factor MITF in alpaca (Lama pacos) skin melanocytes. Domestic Animal Endocrinology. 38(3). 200–209. 86 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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