Xiaoping Guo

622 total citations
21 papers, 466 citations indexed

About

Xiaoping Guo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Xiaoping Guo has authored 21 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Xiaoping Guo's work include Neurobiology and Insect Physiology Research (4 papers), Invertebrate Immune Response Mechanisms (3 papers) and Plant Virus Research Studies (3 papers). Xiaoping Guo is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Invertebrate Immune Response Mechanisms (3 papers) and Plant Virus Research Studies (3 papers). Xiaoping Guo collaborates with scholars based in China, United States and France. Xiaoping Guo's co-authors include Haobo Jiang, Xianlong Zhang, Zhongxu Lin, Yichun Nie, David J. Mangelsdorf, Vincent Laudet, Steve Hartson, Yang Wang, Diqiu Liu and Zhen Zou and has published in prestigious journals such as Journal of Biological Chemistry, Aquaculture and Molecular and Cellular Endocrinology.

In The Last Decade

Xiaoping Guo

20 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Guo China 9 154 147 143 138 136 21 466
Chunlai Cui China 9 278 1.8× 111 0.8× 74 0.5× 189 1.4× 60 0.4× 12 474
A.E. Robertson United States 9 299 1.9× 43 0.3× 239 1.7× 145 1.1× 261 1.9× 11 608
Kakeru Yokoi Japan 13 466 3.0× 120 0.8× 100 0.7× 301 2.2× 226 1.7× 42 708
Yuenan Zhou China 11 244 1.6× 101 0.7× 51 0.4× 151 1.1× 60 0.4× 26 384
Wenjie Li China 13 96 0.6× 188 1.3× 19 0.1× 176 1.3× 154 1.1× 34 508
Prapaporn Utarabhand Thailand 17 93 0.6× 40 0.3× 91 0.6× 111 0.8× 435 3.2× 26 620
Hyang‐Mi Cheon South Korea 8 261 1.7× 65 0.4× 149 1.0× 144 1.0× 191 1.4× 12 465
Igor Iatsenko Germany 15 429 2.8× 107 0.7× 84 0.6× 260 1.9× 336 2.5× 21 795
Olivier Binggeli Switzerland 7 507 3.3× 91 0.6× 168 1.2× 176 1.3× 457 3.4× 8 746
Rico L. Rana United States 13 313 2.0× 149 1.0× 126 0.9× 120 0.9× 183 1.3× 19 464

Countries citing papers authored by Xiaoping Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Guo. A scholar is included among the top collaborators of Xiaoping Guo 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 Xiaoping Guo. Xiaoping Guo 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.
Guo, Xiaoping, et al.. (2025). Portable electroencephalography in early detection of depression: Progress and future directions. World Journal of Psychiatry. 15(8). 107725–107725.
2.
Wang, Xiao, et al.. (2024). Genome-wide survey reveals the genetic background of Xinjiang Brown cattle in China. Frontiers in Genetics. 14. 1348329–1348329. 5 indexed citations
3.
Guo, Xiaoping, et al.. (2021). Spatial patterns of soil seed banks and their relationships with above‐ground vegetation in an arid desert. Applied Vegetation Science. 24(4). 8 indexed citations
4.
Hong, Liang, Lian Zhang, Xiaoping Guo, & Li Sun. (2021). Vancomycin-lock therapy for prevention of catheter-related bloodstream infection in very low body weight infants. BMC Pediatrics. 21(1). 3–3. 10 indexed citations
5.
Han, Qingqing, et al.. (2018). The effect of BimEL on gill remodeling of goldfish (Carassius auratus). Aquaculture. 500. 469–476. 7 indexed citations
6.
Chen, Qiuming, Yanjun Wu, Mingyuan Zhang, et al.. (2016). Milk fat globule is an alternative to mammary epithelial cells for gene expression analysis in buffalo. Journal of Dairy Research. 83(2). 202–208. 19 indexed citations
7.
Guo, Xiaoping, Haowen Yang, Mingyuan Zhang, et al.. (2016). Molecular Characterization and Expression Pattern of Small Ankyrin 1 in Porcine Skeletal Muscle. Journal of Biobased Materials and Bioenergy. 10(2). 106–112. 1 indexed citations
8.
Wang, Xiaoli, Wei Liu, Shumin Xie, et al.. (2015). [Clinical multi-center study on the treatment of sudden sensorineural hearing loss accompanied with feeling of ear fullness].. PubMed. 50(6). 458–62. 2 indexed citations
9.
Zhao, Donghong, Li Jiang, Xiaoping Guo, et al.. (2012). Repairing Facial Injury with Refining Plastic Surgery Techniques. Cell Biochemistry and Biophysics. 64(2). 73–76. 2 indexed citations
10.
Zhao, Donghong, Li Jiang, Xiaoping Guo, et al.. (2011). Treating Cutis Verticis Gyrata Using Skin Expansion Method. Cell Biochemistry and Biophysics. 62(2). 373–376. 6 indexed citations
11.
Wang, Hongmei, Zhongxu Lin, Xianlong Zhang, et al.. (2008). Mapping and Quantitative Trait Loci Analysis of Verticillium Wilt Resistance Genes in Cotton. Journal of Integrative Plant Biology. 50(2). 174–182. 62 indexed citations
12.
Jiang, Haobo, Yang Wang, Yongli Gu, et al.. (2005). Molecular identification of a bevy of serine proteinases in Manduca sexta hemolymph. Insect Biochemistry and Molecular Biology. 35(8). 931–943. 68 indexed citations
13.
Liu, Diqiu, Xiaoping Guo, Zhongxu Lin, Yichun Nie, & Xianlong Zhang. (2005). Genetic Diversity of Asian Cotton (Gossypium arboreum L.) in China Evaluated by Microsatellite Analysis. Genetic Resources and Crop Evolution. 53(6). 1145–1152. 66 indexed citations
14.
Wang, Yang, et al.. (2004). A Pattern Recognition Serine Proteinase Triggers the Prophenoloxidase Activation Cascade in the Tobacco Hornworm, Manduca sexta. Journal of Biological Chemistry. 279(33). 34101–34106. 69 indexed citations
15.
Warren, James T., et al.. (2002). Developmental profiles of ecdysteroids, ecdysteroid receptor mRNAs and DNA binding properties of ecdysteroid receptors in the Ixodid tick Amblyomma americanum (L.). Insect Biochemistry and Molecular Biology. 32(4). 465–476. 8 indexed citations
16.
Zhang, Zhijian, et al.. (2002). [The therapeutic effects of basic fibroblast growth factor injected into tympanic cavity on sensorineural deafness].. PubMed. 16(11). 603–4. 1 indexed citations
17.
Bao, Chunde, et al.. (2000). [Relationships between ankylosing spondylitis and ear disease].. PubMed. 35(2). 117–9. 4 indexed citations
18.
Guo, Xiaoping, et al.. (1998). Isolation of two functional retinoid X receptor subtypes from the Ixodid tick, Amblyomma americanum (L.). Molecular and Cellular Endocrinology. 139(1-2). 45–60. 47 indexed citations
19.
Guo, Xiaoping, et al.. (1997). Isolation of a functional ecdysteroid receptor homologue from the ixodid tick Amblyomma americanum (L.). Insect Biochemistry and Molecular Biology. 27(11). 945–962. 52 indexed citations
20.
Palmer, M J, et al.. (1994). Genome size and organization in the ixodid tick Amblyomma americanum (L.). Insect Molecular Biology. 3(1). 57–62. 28 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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