Xiumei Xing

1.0k total citations
25 papers, 184 citations indexed

About

Xiumei Xing is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Xiumei Xing has authored 25 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Genetics and 5 papers in Animal Science and Zoology. Recurrent topics in Xiumei Xing's work include Identification and Quantification in Food (8 papers), Genetic diversity and population structure (7 papers) and Animal Nutrition and Physiology (5 papers). Xiumei Xing is often cited by papers focused on Identification and Quantification in Food (8 papers), Genetic diversity and population structure (7 papers) and Animal Nutrition and Physiology (5 papers). Xiumei Xing collaborates with scholars based in China, New Zealand and Canada. Xiumei Xing's co-authors include Yang Fu-he, Chunyi Li, Pengfei Hu, Xiuhua Gao, Hengxing Ba, Fuhe Yang, Yang Li, Lei Wang, Xuming Deng and C.G. Mackintosh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Xiumei Xing

23 papers receiving 182 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiumei Xing China 10 111 71 39 35 16 25 184
Tong Feng China 11 144 1.3× 67 0.9× 20 0.5× 69 2.0× 18 1.1× 26 271
Nowlan H. Freese United States 9 317 2.9× 86 1.2× 20 0.5× 25 0.7× 37 2.3× 12 450
Soheil Yousefi Iran 10 145 1.3× 109 1.5× 10 0.3× 20 0.6× 42 2.6× 29 290
T. E. Broad New Zealand 12 242 2.2× 201 2.8× 23 0.6× 36 1.0× 23 1.4× 29 452
Kung Ahn South Korea 13 374 3.4× 120 1.7× 25 0.6× 75 2.1× 16 1.0× 41 497
Christian Korfhage Germany 8 237 2.1× 33 0.5× 24 0.6× 21 0.6× 21 1.3× 14 401
Clemency Jolly United States 2 259 2.3× 176 2.5× 10 0.3× 61 1.7× 8 0.5× 2 403
Klaudia Pawlina‐Tyszko Poland 10 123 1.1× 203 2.9× 9 0.2× 86 2.5× 26 1.6× 48 350
David C. Norris United States 4 181 1.6× 35 0.5× 19 0.5× 21 0.6× 3 0.2× 8 272
Dibyendu Kumar United States 11 135 1.2× 59 0.8× 13 0.3× 30 0.9× 6 0.4× 21 329

Countries citing papers authored by Xiumei Xing

Since Specialization
Citations

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

Fields of papers citing papers by Xiumei Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiumei Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Xiumei Xing. A scholar is included among the top collaborators of Xiumei Xing 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 Xiumei Xing. Xiumei Xing 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.
Xiao, Bo, Adrian M. Lister, Haifeng Lin, et al.. (2022). Ancient and modern mitogenomes of red deer reveal its evolutionary history in northern China. Quaternary Science Reviews. 301. 107924–107924. 3 indexed citations
3.
Liu, Nannan, et al.. (2022). Full length transcriptomes analysis of cold-resistance of Apis cerana in Changbai Mountain during overwintering period. Gene. 830. 146503–146503. 7 indexed citations
4.
Li, Yang, et al.. (2021). Comparative antler proteome of sika deer from different developmental stages. Scientific Reports. 11(1). 10484–10484. 12 indexed citations
5.
Liu, Huitao, et al.. (2019). The complete mitochondrial genome ofCervus elaphus kansuensis(Artiodactyla: Cervidae) and its phylogenetic analysis. SHILAP Revista de lepidopterología. 4(1). 1720–1722. 1 indexed citations
6.
Liu, Zhi, et al.. (2018). Effects of dietary copper level on serum lipid metabolism parameters, blood parameters, intestinal digestive enzyme activities and bile trace element contents of minks during winter fur-growing period.. Dongwu yingyang xuebao. 30(4). 1406–1414.
7.
8.
Liu, Huitao, et al.. (2018). Characterization of the complete mitochondrial genome of Rusa unicolor hainana (Artiodactyla: Cervidae). Conservation Genetics Resources. 11(2). 143–146. 3 indexed citations
9.
Du, Zhanyu, Kai Huang, Jiaping Zhao, et al.. (2017). Comparative Transcriptome Analysis of Raccoon Dog Skin to Determine Melanin Content in Hair and Melanin Distribution in Skin. Scientific Reports. 7(1). 40903–40903. 11 indexed citations
10.
Wang, Lei, et al.. (2016). Comparative proteomic analysis in different growth stages of sika deer velvet antler.. 47(3). 493–501. 1 indexed citations
11.
Xing, Xiumei, et al.. (2013). Discovery of a SNP in exon 2 the lipoprotein lipase gene and its association with intramuscular fat content in Chinese ring-necked pheasant.. The Journal of Animal and Plant Sciences. 20(2). 3122–3125. 1 indexed citations
12.
Ba, Hengxing, Yang Fu-he, Xiumei Xing, & Chunyi Li. (2013). Classification and phylogeny of sika deer (Cervus nippon) subspecies based on the mitochondrial control region DNA sequence using an extended sample set. Mitochondrial DNA. 26(3). 373–379. 9 indexed citations
13.
Xing, Xiumei. (2012). Effects of Dietary Copper Supplemental Level on Growth Performance, Nutrient Digestibility and Nitrogen Metabolism of Growing Minks. Dongwu yingyang xuebao. 3 indexed citations
14.
Xing, Xiumei. (2011). Effects of Dietary Protein Level on Growth Performance,Nutrient Digestion and Metabolism,and Serum Biochemical Indices of Blue Foxes during the Winter Hair Period. Dongwu yingyang xuebao. 1 indexed citations
15.
Yang, Fayu, et al.. (2011). Effects of dietary fat levels on nutrient digestibility and production performance of growing‐furring blue foxes (Alopex lagopus). Journal of Animal Physiology and Animal Nutrition. 96(4). 610–617. 9 indexed citations
16.
Xing, Xiumei, et al.. (2011). Rapid identification of deer products by multiplex PCR assay. Food Chemistry. 129(4). 1904–1908. 21 indexed citations
17.
Wang, Lei, et al.. (2010). Analysis of genetic diversity of mink using microsatellite marker in China.. Jilin Nongye Daxue xuebao. 32(6). 684–689. 1 indexed citations
18.
Zhang, Haihua, et al.. (2010). Effects of low-protein, DL-methionine and lysine-supplemented diets on growth performance, N-balance and fur characteristics of blue foxes (Alopex lagopus) during the growing-furring period.. Dongwu yingyang xuebao. 22(6). 1614–1624. 1 indexed citations
19.
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
20.
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

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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