Fei Sang

5.5k total citations
23 papers, 385 citations indexed

About

Fei Sang is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Fei Sang has authored 23 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Physiology and 4 papers in Genetics. Recurrent topics in Fei Sang's work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers) and Animal Genetics and Reproduction (3 papers). Fei Sang is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers) and Animal Genetics and Reproduction (3 papers). Fei Sang collaborates with scholars based in United Kingdom, China and United States. Fei Sang's co-authors include Zuhong Lu, Doris Klisch, Ramiro Alberio, Matthew Loose, M. Azim Surani, Priscila Ramos‐Ibeas, Sarah Withey, Walfred W. C. Tang, Xiao Sun and Peng Jiang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Fei Sang

21 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Sang United Kingdom 11 282 67 50 46 28 23 385
Yangli Pei China 13 371 1.3× 71 1.1× 79 1.6× 78 1.7× 40 1.4× 25 513
Shuchao Ren China 9 319 1.1× 30 0.4× 59 1.2× 18 0.4× 39 1.4× 13 433
Yunyun Cheng China 13 277 1.0× 102 1.5× 19 0.4× 81 1.8× 20 0.7× 50 460
Renyue Wei China 10 317 1.1× 42 0.6× 89 1.8× 60 1.3× 69 2.5× 21 360
Guanghua Su China 14 331 1.2× 37 0.6× 70 1.4× 156 3.4× 21 0.8× 59 477
Nuruliarizki Shinta Pandupuspitasari China 12 221 0.8× 43 0.6× 20 0.4× 46 1.0× 24 0.9× 35 389
Zhong Zheng China 12 269 1.0× 61 0.9× 148 3.0× 118 2.6× 28 1.0× 47 457
Huiming Ma China 10 154 0.5× 55 0.8× 126 2.5× 39 0.8× 62 2.2× 29 421
Songcai Liu China 12 199 0.7× 47 0.7× 18 0.4× 82 1.8× 20 0.7× 47 352

Countries citing papers authored by Fei Sang

Since Specialization
Citations

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

Fields of papers citing papers by Fei Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Sang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Sang. A scholar is included among the top collaborators of Fei Sang 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 Fei Sang. Fei Sang 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.
Klisch, Doris, Takuya Azami, Daniel E. Goszczynski, et al.. (2024). A single-cell atlas of pig gastrulation as a resource for comparative embryology. Nature Communications. 15(1). 5210–5210. 7 indexed citations
3.
Ho, Wai Kuan, Fei Sang, Niraj Shah, et al.. (2024). A genomic toolkit for winged bean Psophocarpus tetragonolobus. Nature Communications. 15(1). 1901–1901. 5 indexed citations
4.
5.
Tutt, D., Wing Yee Kwong, Fei Sang, et al.. (2023). Developmental, cytogenetic and epigenetic consequences of removing complex proteins and adding melatonin during in vitro maturation of bovine oocytes. Frontiers in Endocrinology. 14. 1280847–1280847. 5 indexed citations
6.
Acosta, Helena, Zoltán Ferjentsik, Alexander Payne, et al.. (2023). NANOG is required to establish the competence for germ-layer differentiation in the basal tetrapod axolotl. PLoS Biology. 21(6). e3002121–e3002121.
7.
Morgan, Hannah L., Samuel Furse, Irundika H.K. Dias, et al.. (2022). Paternal low protein diet perturbs inter-generational metabolic homeostasis in a tissue-specific manner in mice. Communications Biology. 5(1). 929–929. 15 indexed citations
8.
Ashton, George D., Fei Sang, Martin Blythe, et al.. (2022). Use of Bulk Segregant Analysis for Determining the Genetic Basis of Azole Resistance in the Opportunistic Pathogen Aspergillus fumigatus. Frontiers in Cellular and Infection Microbiology. 12. 841138–841138. 5 indexed citations
9.
Márkus, Róbert, Sunir Malla, Chris Gell, et al.. (2021). Modifying the m6A brain methylome by ALKBH5-mediated demethylation: a new contender for synaptic tagging. Molecular Psychiatry. 26(12). 7141–7153. 35 indexed citations
10.
Sang, Fei, Sarah Withey, Walfred W. C. Tang, et al.. (2021). Specification and epigenomic resetting of the pig germline exhibit conservation with the human lineage. Cell Reports. 34(6). 108735–108735. 36 indexed citations
11.
Palmer, Carolyn G., Nadine Holmes, Fei Sang, et al.. (2020). Stat3 oxidation-dependent regulation of gene expression impacts on developmental processes and involves cooperation with Hif-1α. PLoS ONE. 15(12). e0244255–e0244255. 11 indexed citations
12.
Paes, Márcia Cristina, Felipe A. Dias, Ana Rossini, et al.. (2020). Gene expression profiling of Trypanosoma cruzi in the presence of heme points to glycosomal metabolic adaptation of epimastigotes inside the vector. PLoS neglected tropical diseases. 14(1). e0007945–e0007945. 7 indexed citations
13.
Ramos‐Ibeas, Priscila, Fei Sang, Walfred W. C. Tang, et al.. (2019). Pluripotency and X chromosome dynamics revealed in pig pre-gastrulating embryos by single cell analysis. Nature Communications. 10(1). 500–500. 87 indexed citations
14.
Moore, Christopher, Joanna L. Richens, Sunir Malla, et al.. (2018). Gfi1aa and Gfi1b set the pace for primitive erythroblast differentiation from hemangioblasts in the zebrafish embryo. Blood Advances. 2(20). 2589–2606. 8 indexed citations
15.
Chappell, Sally, Tulsi Patel, Tamar Guetta‐Baranes, et al.. (2018). Observations of extensive gene expression differences in the cerebellum and potential relevance to Alzheimer’s disease. BMC Research Notes. 11(1). 646–646. 17 indexed citations
16.
Daly, Paul, Jolanda M. van Munster, Matthew Kokolski, et al.. (2016). Transcriptomic responses of mixed cultures of ascomycete fungi to lignocellulose using dual RNA-seq reveal inter-species antagonism and limited beneficial effects on CAZyme expression. Fungal Genetics and Biology. 102. 4–21. 24 indexed citations
17.
Sang, Fei, et al.. (2010). ReDB: A meiotic homologous recombination rate database. Chinese Science Bulletin. 55(27-28). 3169–3173. 3 indexed citations
18.
Guo, Li, et al.. (2009). Haplotype Distribution and Evolutionary Pattern of miR-17 and miR-124 Families Based on Population Analysis. PLoS ONE. 4(11). e7944–e7944. 25 indexed citations
19.
Jiang, Peng, Hao Wu, Jin Wei, et al.. (2007). RF-DYMHC: detecting the yeast meiotic recombination hotspots and coldspots by random forest model using gapped dinucleotide composition features. Nucleic Acids Research. 35(Web Server). W47–W51. 36 indexed citations
20.
Jiang, Peng, Yao Da, Fei Sang, et al.. (2007). RFRCDB-siRNA: Improved design of siRNAs by random forest regression model coupled with database searching. Computer Methods and Programs in Biomedicine. 87(3). 230–238. 25 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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