Fuhe Yang

594 total citations
25 papers, 431 citations indexed

About

Fuhe Yang is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Fuhe Yang has authored 25 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Genetics. Recurrent topics in Fuhe Yang's work include Pluripotent Stem Cells Research (6 papers), Developmental Biology and Gene Regulation (5 papers) and Hair Growth and Disorders (4 papers). Fuhe Yang is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Developmental Biology and Gene Regulation (5 papers) and Hair Growth and Disorders (4 papers). Fuhe Yang collaborates with scholars based in China and New Zealand. Fuhe Yang's co-authors include Chunyi Li, Allan Sheppard, Guangyu Li, Shiyong Wang, Tietao Zhang, Haihua Zhang, Huazhe Si, Xiuhua Gao, Xuming Deng and Haijun Wei and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Fuhe Yang

24 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuhe Yang China 12 237 125 91 78 64 25 431
В. В. Терских Russia 11 193 0.8× 107 0.9× 45 0.5× 87 1.1× 21 0.3× 39 427
Vuk Savković Germany 14 144 0.6× 50 0.4× 34 0.4× 50 0.6× 43 0.7× 36 444
Melina Grigorian United States 8 182 0.8× 92 0.7× 34 0.4× 73 0.9× 54 0.8× 9 515
Mingang Xu United States 15 473 2.0× 210 1.7× 50 0.5× 136 1.7× 75 1.2× 23 744
Jayhun Lee United States 9 269 1.1× 190 1.5× 24 0.3× 122 1.6× 49 0.8× 11 543
Emil Aamar Israel 11 292 1.2× 85 0.7× 48 0.5× 120 1.5× 22 0.3× 12 430
Mirjana Liović Slovenia 15 356 1.5× 130 1.0× 111 1.2× 402 5.2× 24 0.4× 61 707
Rosanna Man Wah Chau United States 5 213 0.9× 71 0.6× 28 0.3× 94 1.2× 17 0.3× 5 375
Hiroki Fujikawa Japan 11 167 0.7× 95 0.8× 55 0.6× 90 1.2× 18 0.3× 29 399
Ji Won Oh South Korea 13 175 0.7× 297 2.4× 31 0.3× 153 2.0× 48 0.8× 31 605

Countries citing papers authored by Fuhe Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fuhe Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuhe Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fuhe Yang. A scholar is included among the top collaborators of Fuhe Yang 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 Fuhe Yang. Fuhe Yang 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.
Jia, Boyin, Jianming Li, Kun Shi, et al.. (2022). Comparison of miRNA and mRNA Expression in Sika Deer Testes With Age. Frontiers in Veterinary Science. 9. 854503–854503. 9 indexed citations
2.
Jia, Boyin, Xin Li, Xintong Han, et al.. (2022). The combination of SMRT sequencing and Illumina sequencing highlights organ-specific and age-specific expression patterns of miRNAs in Sika Deer. Frontiers in Veterinary Science. 9. 1042445–1042445. 1 indexed citations
3.
Jia, Boyin, Yuan Liu, Jiali Zhang, et al.. (2020). Altered miRNA and mRNA Expression in Sika Deer Skeletal Muscle with Age. Genes. 11(2). 172–172. 17 indexed citations
4.
Zhang, Haihua, Yongmei Su, Jiantao Wang, et al.. (2019). Ginsenoside Rb1 promotes the growth of mink hair follicle via PI3K/AKT/GSK-3β signaling pathway. Life Sciences. 229. 210–218. 36 indexed citations
5.
Hu, Cui, Hao Nie, Tietao Zhang, et al.. (2018). Effects of zinc sources and levels on zinc bioavailability, blood parameters, and nutrient balance of male mink (Neovison vison). Czech Journal of Animal Science. 63(5). 174–181. 2 indexed citations
6.
8.
Zhang, Haihua, Shiyong Wang, Tietao Zhang, et al.. (2016). Epidermal Growth Factor Promotes Proliferation and Migration of Follicular Outer Root Sheath Cells via Wnt/β-Catenin Signaling. Cellular Physiology and Biochemistry. 39(1). 360–370. 51 indexed citations
9.
Zhang, Haihua, Shiyong Wang, Tietao Zhang, et al.. (2016). Epidermal growth factor promotes proliferation of dermal papilla cells via Notch signaling pathway. Biochimie. 127. 10–18. 40 indexed citations
10.
Wang, Lei, et al.. (2015). Isolation and Culture of Melanocytes from the Arctic Fox (Alopex Lagopus). Italian Journal of Animal Science. 14(3). 4005–4005. 2 indexed citations
11.
Sun, Hongmei, Fuhe Yang, Wenhui Chu, et al.. (2012). Lentiviral-Mediated RNAi Knockdown of Cbfa1 Gene Inhibits Endochondral Ossification of Antler Stem Cells in Micromass Culture. PLoS ONE. 7(10). e47367–e47367. 16 indexed citations
12.
Yang, Fuhe, Xiuhua Gao, & Guangyu Li. (2012). Effects of dietary protein levels on production performance and serum insulin-like growth factor-1 levels in sika deer. Animal Production Science. 52(8). 728–730. 1 indexed citations
14.
Li, Chunyi, Fuhe Yang, & J. M. Suttie. (2011). Stem cells, stem cell niche and antler development. Animal Production Science. 51(4). 267–276. 10 indexed citations
15.
Gao, Xiuhua, Fuhe Yang, Haiping Zhao, Wenying Wang, & Chunyi Li. (2010). Antler Transformation is Advanced by Inversion of Antlerogenic Periosteum Implants in Sika Deer (Cervus nippon). The Anatomical Record. 293(10). 1787–1796. 4 indexed citations
16.
Li, Chunyi, Fuhe Yang, Stephen R. Haines, et al.. (2010). Stem cells responsible for deer antler regeneration are unable to recapitulate the process of first antler development—revealed through intradermal and subcutaneous tissue transplantation. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 314B(7). 552–570. 9 indexed citations
17.
Li, Chunyi, Fuhe Yang, & Allan Sheppard. (2009). Adult Stem Cells and Mammalian Epimorphic Regeneration-Insights from Studying Annual Renewal of Deer Antlers. Current Stem Cell Research & Therapy. 4(3). 237–251. 85 indexed citations
18.
Li, Chunyi, Xiuhua Gao, Fuhe Yang, et al.. (2008). Development of a nude mouse model for the study of antlerogenesis—mechanism of tissue interactions and ossification pathway. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 312B(2). 118–135. 15 indexed citations
19.
Li, Chunyi, Fuhe Yang, Xiumei Xing, et al.. (2008). Role of heterotypic tissue interactions in deer pedicle and first antler formation—revealed via a membrane insertion approach. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 310B(3). 267–277. 22 indexed citations
20.
Li, Chunyi, Fuhe Yang, Guangyu Li, et al.. (2006). Antler regeneration: a dependent process of stem tissue primed via interaction with its enveloping skin. Journal of Experimental Zoology Part A Ecological Genetics and Physiology. 307A(2). 95–105. 38 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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