Zaisen Wang

525 total citations
9 papers, 436 citations indexed

About

Zaisen Wang is a scholar working on Molecular Biology, Nutrition and Dietetics and Small Animals. According to data from OpenAlex, Zaisen Wang has authored 9 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Nutrition and Dietetics and 3 papers in Small Animals. Recurrent topics in Zaisen Wang's work include Selenium in Biological Systems (4 papers), Helminth infection and control (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Zaisen Wang is often cited by papers focused on Selenium in Biological Systems (4 papers), Helminth infection and control (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Zaisen Wang collaborates with scholars based in United States, India and China. Zaisen Wang's co-authors include Junxuan Lü, Cheng Jiang, Howard E. Ganther, Hongbo Hu, Barbara Malewicz, Ki Hwan Kim, T.A. Gipson, R. Puchała, Raluca G. Mateescu and Rodrigo R. Amadeu and has published in prestigious journals such as Scientific Reports, BMC Genomics and Molecular Cancer Therapeutics.

In The Last Decade

Zaisen Wang

9 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zaisen Wang United States	8	275	145	84	48	41	9	436
Jennifer Watts United States	9	330 1.2×	152 1.0×	123 1.5×	55 1.1×	12 0.3×	14	532
Xiaolei Yao China	13	95 0.3×	91 0.6×	30 0.4×	45 0.9×	27 0.7×	37	398
Soheir M. El Nahas Egypt	11	52 0.2×	82 0.6×	42 0.5×	141 2.9×	72 1.8×	35	431
Greg P. Sykes United States	12	38 0.1×	129 0.9×	66 0.8×	83 1.7×	19 0.5×	19	368
Ewa Śliwa Poland	13	94 0.3×	125 0.9×	9 0.1×	34 0.7×	23 0.6×	32	530
Kamila Domińska Poland	16	34 0.1×	213 1.5×	25 0.3×	54 1.1×	93 2.3×	46	609
Lamia Saïd Tunisia	11	143 0.5×	62 0.4×	185 2.2×	68 1.4×	16 0.4×	15	466
Pervez Ahmed Khoso China	13	290 1.1×	93 0.6×	149 1.8×	5 0.1×	27 0.7×	19	427
John L. Seed United States	14	68 0.2×	278 1.9×	123 1.5×	19 0.4×	189 4.6×	25	697
K.K. Vijayalaxmi India	13	30 0.1×	89 0.6×	117 1.4×	30 0.6×	142 3.5×	23	448

Countries citing papers authored by Zaisen Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zaisen Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaisen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zaisen Wang. A scholar is included among the top collaborators of Zaisen Wang 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 Zaisen Wang. Zaisen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Quijada, Jessica, Kayla Smith, T.A. Gipson, et al.. (2022). Transcript and blood-microbiome analysis towards a blood diagnostic tool for goats affected by Haemonchus contortus. Scientific Reports. 12(1). 5362–5362. 8 indexed citations

Gipson, T.A., L.J. Dawson, Zaisen Wang, et al.. (2021). Genetic Selection for Resistance to Gastrointestinal Parasitism in Meat Goats and Hair Sheep through a Performance Test with Artificial Infection of Haemonchus contortus. Animals. 11(7). 1902–1902. 7 indexed citations

Amadeu, Rodrigo R., A.L. Goetsch, T.A. Gipson, et al.. (2019). Signatures of selection for resistance to Haemonchus contortus in sheep and goats. BMC Genomics. 20(1). 735–735. 36 indexed citations

Sun, Zewei, et al.. (2014). Seasonal Variations in Voluntary Intake and Apparent Digestibility of Forages in Goats Grazing on Introduced <i>Leymus chinensis</i> Pasture. Asian-Australasian Journal of Animal Sciences. 27(6). 818–824. 9 indexed citations

Jiang, Cheng, Ki Hwan Kim, Zaisen Wang, & Junxuan Lü. (2004). Methyl Selenium-Induced Vascular Endothelial Apoptosis Is Executed by Caspases and Principally Mediated by P38 MAPK Pathway. Nutrition and Cancer. 49(2). 174–183. 40 indexed citations

Jiang, Cheng, Hongbo Hu, Barbara Malewicz, Zaisen Wang, & Junxuan Lü. (2004). Selenite-induced p53 Ser-15 phosphorylation and caspase-mediated apoptosis in LNCaP human prostate cancer cells. Molecular Cancer Therapeutics. 3(7). 877–884. 90 indexed citations

Wang, Zaisen, Cheng Jiang, & Junxuan Lü. (2002). Induction of caspase‐mediated apoptosis and cell‐cycle G₁ arrest by selenium metabolite methylselenol. Molecular Carcinogenesis. 34(3). 113–120. 92 indexed citations

Jiang, Cheng, Zaisen Wang, Howard E. Ganther, & Junxuan Lü. (2002). Distinct effects of methylseleninic acid versus selenite on apoptosis, cell cycle, and protein kinase pathways in DU145 human prostate cancer cells.. PubMed. 1(12). 1059–66. 143 indexed citations

Wang, Zaisen, et al.. (1999). Mammary Cancer Promotion and MAPK Activation Associated With Consumption of a Corn Oil-Based High-Fat Diet. Nutrition and Cancer. 34(2). 140–146. 11 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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