Jin Gao

525 total citations
32 papers, 292 citations indexed

About

Jin Gao is a scholar working on Genetics, Molecular Biology and Aquatic Science. According to data from OpenAlex, Jin Gao has authored 32 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 9 papers in Molecular Biology and 6 papers in Aquatic Science. Recurrent topics in Jin Gao's work include Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Aquaculture Nutrition and Growth (6 papers). Jin Gao is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Aquaculture Nutrition and Growth (6 papers). Jin Gao collaborates with scholars based in China, United States and Botswana. Jin Gao's co-authors include Stephan B. Munch, Xianggui Zhang, Xinlian Shen, Peng Xu, Xia Zhang, Xinqi Fan, Zhang‐Wei Liu, Songlin Chen, Runqing Yang and Rui Shi and has published in prestigious journals such as PLoS ONE, Cancer Research and Gene.

In The Last Decade

Jin Gao

30 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin Gao China	9	104	103	71	35	29	32	292
D. K. S. Marques Brazil	7	39 0.4×	83 0.8×	60 0.8×	45 1.3×	41 1.4×	18	255
Nga Thi Thuy Nguyen France	8	101 1.0×	287 2.8×	119 1.7×	17 0.5×	34 1.2×	12	451
Mujahid Ali Shah China	12	30 0.3×	118 1.1×	167 2.4×	45 1.3×	84 2.9×	35	366
Chuanyu Guo China	10	31 0.3×	143 1.4×	50 0.7×	111 3.2×	79 2.7×	17	409
Anna Vlasova Spain	10	185 1.8×	170 1.7×	48 0.7×	19 0.5×	25 0.9×	17	381
G. C. Waldbieser United States	12	27 0.3×	124 1.2×	127 1.8×	107 3.1×	23 0.8×	25	617
Yi Hou China	6	153 1.5×	231 2.2×	115 1.6×	21 0.6×	8 0.3×	8	352
C. Moran Australia	13	103 1.0×	109 1.1×	363 5.1×	8 0.2×	39 1.3×	39	513
Marianne Beetz-Sargent Canada	8	26 0.3×	140 1.4×	124 1.7×	46 1.3×	20 0.7×	8	418
Lifei Luo China	11	62 0.6×	161 1.6×	44 0.6×	35 1.0×	25 0.9×	26	283

Countries citing papers authored by Jin Gao

Since Specialization

Citations

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

Fields of papers citing papers by Jin Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Gao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Yunfeng, Jin Gao, Hong Feng, & Li Jiang. (2025). GRAMMAR-Lambda Delivers Efficient Understanding of the Genetic Basis for Head Size in Catfish. Biology. 14(1). 63–63. 1 indexed citations

Dong, Zhongdian, et al.. (2025). Near telomere-to-telomere genome assembly of the blackspot tuskfish (Choerodon schoenleinii). Scientific Data. 12(1). 537–537.

Gao, Jin, et al.. (2025). Perturbed gut microbiota and serum metabolites are associated with progressive renal fibrosis. Frontiers in Medicine. 12. 1489100–1489100. 3 indexed citations

Gao, Jin, et al.. (2024). Metagenomics and metabolomics to investigate the effect of Amygdalus mongolica oil on intestinal microbiota and serum metabolites in rats. Phytomedicine. 136. 156335–156335. 3 indexed citations

Elsheikha, Hany M., Tingting Li, Jin Gao, et al.. (2023). A newly characterized dense granule protein (GRA76) is important for the growth and virulence of Toxoplasma gondii. International Journal for Parasitology. 54(2). 109–121. 6 indexed citations

Gao, Jin, et al.. (2023). Genome-wide association study reveals genomic loci of sex differentiation and gonadal development in Plectropomus leopardus. Frontiers in Genetics. 14. 1229242–1229242. 4 indexed citations

Gao, Jin, Yang Zou, Xiaojing Wu, et al.. (2022). Differential miRNA expression profiles in the bone marrow of Beagle dogs at different stages of Toxocara canis infection. BMC Genomics. 23(1). 847–847. 1 indexed citations

Wang, Na, Jin Gao, Yang Liu, Rui Shi, & Songlin Chen. (2022). Identification of crucial factors involved in Cynoglossus semilaevis sexual size dimorphism by GWAS and demonstration of zbed1 regulatory network by DAP-seq. Genomics. 114(3). 110376–110376. 15 indexed citations

Gao, Jin, Yang Shi, Wei Wang, et al.. (2021). Genome sequencing identified novel mechanisms underlying virescent mutation in upland cotton Gossypiuma hirsutum. BMC Genomics. 22(1). 498–498. 5 indexed citations

10.

Wang, Na, Qian Yang, Jialin Wang, et al.. (2021). Integration of Transcriptome and Methylome Highlights the Roles of Cell Cycle and Hippo Signaling Pathway in Flatfish Sexual Size Dimorphism. Frontiers in Cell and Developmental Biology. 9. 743722–743722. 23 indexed citations

11.

Gao, Jin, et al.. (2019). Genome-wide barebones regression scan for mixed-model association analysis. Theoretical and Applied Genetics. 133(1). 51–58. 6 indexed citations

12.

Gao, Jin & Stephan B. Munch. (2019). A function‐valued trait approach to estimating the genetic basis of size at age and its potential role in fisheries‐induced evolution. Evolutionary Applications. 12(5). 964–976. 1 indexed citations

13.

He, Jie, et al.. (2018). Random regression analysis for body weights and main morphological traits in genetically improved farmed tilapia (Oreochromis niloticus). Journal of Applied Genetics. 59(1). 99–107. 5 indexed citations

14.

Li, Tao, et al.. (2018). Optimization of shock conditions to induce gynogenesis in topmouth culter (Culter alburnus). Aquaculture. 490. 344–349. 16 indexed citations

15.

Wang, Li, et al.. (2017). Influence of epistatic segregation distortion loci on genetic marker linkages in Japanese flounder. Genomics. 110(1). 59–66. 5 indexed citations

16.

He, Jie, et al.. (2017). Multivariate random regression analysis for body weight and main morphological traits in genetically improved farmed tilapia (Oreochromis niloticus). Genetics Selection Evolution. 49(1). 80–80. 15 indexed citations

17.

Gao, Jin & Stephan B. Munch. (2015). Does Reproductive Investment Decrease Telomere Length in Menidia menidia?. PLoS ONE. 10(5). e0125674–e0125674. 24 indexed citations

18.

Xu, Peng, Zhang‐Wei Liu, Xinqi Fan, et al.. (2013). De novo transcriptome sequencing and comparative analysis of differentially expressed genes in Gossypium aridum under salt stress. Gene. 525(1). 26–34. 58 indexed citations

19.

Gao, Jin, et al.. (2013). Genetic and maternal variation in early growth in the Atlantic silverside Menidia menidia. Marine Ecology Progress Series. 485. 211–222. 8 indexed citations

20.

Zheng, Quan, et al.. (2005). High level expression of kringle 5 fragment of plasminogen in Pichia pastoris. Biotechnology Letters. 27(3). 167–171. 5 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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