Fei Gong

2.8k total citations
119 papers, 1.7k citations indexed

About

Fei Gong is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Fei Gong has authored 119 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Pediatrics, Perinatology and Child Health, 71 papers in Public Health, Environmental and Occupational Health and 45 papers in Reproductive Medicine. Recurrent topics in Fei Gong's work include Reproductive Biology and Fertility (55 papers), Prenatal Screening and Diagnostics (55 papers) and Assisted Reproductive Technology and Twin Pregnancy (34 papers). Fei Gong is often cited by papers focused on Reproductive Biology and Fertility (55 papers), Prenatal Screening and Diagnostics (55 papers) and Assisted Reproductive Technology and Twin Pregnancy (34 papers). Fei Gong collaborates with scholars based in China, United States and Germany. Fei Gong's co-authors include Ge Lin, Guangxiu Lu, Guangxiu Lu, Yue‐Qiu Tan, Shuoping Zhang, Changfu Lu, Liang Hu, Ge Lin, Keli Luo and Dehua Cheng and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Fei Gong

110 papers receiving 1.7k 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 Gong China 24 948 910 669 480 454 119 1.7k
Giles Tomkin United States 11 1.0k 1.1× 1.0k 1.1× 601 0.9× 272 0.6× 413 0.9× 15 1.5k
Shuoping Zhang China 20 605 0.6× 486 0.5× 297 0.4× 189 0.4× 472 1.0× 43 1.0k
Junhao Yan China 21 604 0.6× 602 0.7× 490 0.7× 193 0.4× 270 0.6× 101 1.3k
María José de los Santos Spain 26 1.6k 1.6× 762 0.8× 1.3k 1.9× 130 0.3× 453 1.0× 75 2.2k
Michelle Lane United States 16 2.4k 2.5× 1.5k 1.6× 1.5k 2.3× 243 0.5× 744 1.6× 28 2.8k
Tugce Pehlivan United States 17 371 0.4× 666 0.7× 177 0.3× 371 0.8× 308 0.7× 20 1.1k
Yuh‐Ming Hwu Taiwan 21 831 0.9× 436 0.5× 952 1.4× 119 0.2× 233 0.5× 65 1.5k
Yanwen Xu China 15 424 0.4× 327 0.4× 308 0.5× 109 0.2× 188 0.4× 55 728
Anette Gabrielsen Denmark 16 879 0.9× 560 0.6× 659 1.0× 80 0.2× 351 0.8× 30 1.2k
Anne Lis Mikkelsen Denmark 19 1.1k 1.2× 589 0.6× 1.0k 1.6× 101 0.2× 199 0.4× 44 1.4k

Countries citing papers authored by Fei Gong

Since Specialization
Citations

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

Fields of papers citing papers by Fei Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Gong. A scholar is included among the top collaborators of Fei Gong 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 Gong. Fei Gong 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.
Xie, Pingyuan, Shuoping Zhang, Lei Sun, et al.. (2025). Accurate identification of abnormal ploidy using an artificial intelligence model in preimplantation genetic testing. Human Reproduction Open. 2025(4). hoaf054–hoaf054.
2.
Xiao, Na, Yizhong Yan, Xiaoyang Liu, et al.. (2024). The therapeutic effect of anti-CD19 antibody on DHEA-induced PCOS mice. International Immunopharmacology. 130. 111711–111711. 5 indexed citations
3.
Ma, Shujuan, Liang Hu, Yuan Li, et al.. (2024). Comparison of stimulation protocols for dose determination of gonadotropins: A systematic review and Bayesian network meta‐analysis based on randomized controlled trials. International Journal of Gynecology & Obstetrics. 167(1). 66–79. 1 indexed citations
4.
Chen, Longbin, Shujuan Ma, Fei Gong, et al.. (2023). Oxygen concentration from days 1 to 3 after insemination affects the embryo culture quality, cumulative live birth rate, and perinatal outcomes. Journal of Assisted Reproduction and Genetics. 40(11). 2609–2618. 4 indexed citations
5.
Liu, Yvonne, Huijun Chen, Liang Hu, et al.. (2023). The Degree of Prepregnancy Vitamin D Deficiency Is Not Associated With Gestational Diabetes in Women Undergoing ART. Journal of the Endocrine Society. 7(12). bvad140–bvad140. 8 indexed citations
6.
Guo, Jing, Jue Zhang, Shen Zhang, et al.. (2023). Selective Translation of Maternal mRNA by eIF4E1B Controls Oocyte to Embryo Transition. Advanced Science. 10(11). e2205500–e2205500. 17 indexed citations
7.
Shen, Ying, Jing Guo, Xueguang Zhang, et al.. (2022). Identification of a heterozygous variant of ZP2 as a novel cause of empty follicle syndrome in humans and mice. Human Reproduction. 37(4). 859–872. 13 indexed citations
8.
Xie, Pingyuan, Ping Liu, Shuoping Zhang, et al.. (2022). Segmental aneuploidies with 1 Mb resolution in human preimplantation blastocysts. Genetics in Medicine. 24(11). 2285–2295. 11 indexed citations
9.
10.
Ouyang, Yan, Hui Chen, Ge Lin, et al.. (2021). Heterotopic Cesarean Scar Pregnancy. Journal of Ultrasound in Medicine. 40(10). 2239–2249. 10 indexed citations
11.
Chen, Yongzhe, Wenbin He, Juan Du, et al.. (2021). Case Report: A Novel Heterozygous ZP3 Deletion Associated With Empty Follicle Syndrome and Abnormal Follicular Development. Frontiers in Genetics. 12. 690070–690070. 12 indexed citations
12.
Luo, Keli, Pingyuan Xie, Fei Gong, et al.. (2019). Next-generation sequencing analysis of embryos from mosaic patients undergoing in vitro fertilization and preimplantation genetic testing. Fertility and Sterility. 112(2). 291–297.e3. 2 indexed citations
13.
Cai, Sufen, et al.. (2019). The role of vitamin d on pregnancy outcomes of IVF/ICSI. Fertility and Sterility. 112(3). e185–e185. 1 indexed citations
14.
Dai, Jing, Wei Zheng, Can Dai, et al.. (2019). New biallelic mutations in WEE2: expanding the spectrum of mutations that cause fertilization failure or poor fertilization. Fertility and Sterility. 111(3). 510–518. 32 indexed citations
15.
Dai, Can, Liang Hu, Fei Gong, et al.. (2018). ZP2 pathogenic variants cause in vitro fertilization failure and female infertility. Genetics in Medicine. 21(2). 431–440. 79 indexed citations
16.
17.
Yi, Yan, Xihong Li, Yan Ouyang, et al.. (2016). Discriminant analysis forecasting model of first trimester pregnancy outcomes developed by following 9,963 infertile patients after in vitro fertilization. Fertility and Sterility. 105(5). 1261–1265. 12 indexed citations
18.
Zhang, Shuoping, Keli Luo, Dehua Cheng, et al.. (2016). Number of biopsied trophectoderm cells is likely to affect the implantation potential of blastocysts with poor trophectoderm quality. Fertility and Sterility. 105(5). 1222–1227.e4. 73 indexed citations
19.
Zhang, Shuoping, Ke Tan, Fei Gong, et al.. (2014). Blastocysts can be rebiopsied for preimplantation genetic diagnosis and screening. Fertility and Sterility. 102(6). 1641–1645. 30 indexed citations
20.

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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