Gaofei Li

475 total citations
11 papers, 347 citations indexed

About

Gaofei Li is a scholar working on Molecular Biology, Plant Science and Biological Psychiatry. According to data from OpenAlex, Gaofei Li has authored 11 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Biological Psychiatry. Recurrent topics in Gaofei Li's work include Gut microbiota and health (3 papers), Plant Gene Expression Analysis (2 papers) and Tryptophan and brain disorders (2 papers). Gaofei Li is often cited by papers focused on Gut microbiota and health (3 papers), Plant Gene Expression Analysis (2 papers) and Tryptophan and brain disorders (2 papers). Gaofei Li collaborates with scholars based in China, United States and Poland. Gaofei Li's co-authors include Yang Shen, Ying Liang, Meng Zhang, Ye Yuan, Xinxin Shi, Jixiang Wang, Yongchao Zhang, Lei Zhao, Xing Shi and Liying Wang and has published in prestigious journals such as Scientific Reports, Innovative Food Science & Emerging Technologies and Frontiers in Psychiatry.

In The Last Decade

Gaofei Li

9 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gaofei Li China	5	252	176	134	36	28	11	347
Bingyu Ding China	8	225 0.9×	160 0.9×	104 0.8×	17 0.5×	39 1.4×	16	336
Shuwei Yin China	4	252 1.0×	148 0.8×	102 0.8×	12 0.3×	31 1.1×	4	291
Zhenglan Duan China	5	183 0.7×	88 0.5×	58 0.4×	35 1.0×	29 1.0×	6	245
Min-Kyung Joo South Korea	11	297 1.2×	148 0.8×	85 0.6×	56 1.6×	31 1.1×	16	387
Xing Shi China	10	408 1.6×	157 0.9×	123 0.9×	122 3.4×	24 0.9×	15	654
Hae-Ji Lee South Korea	7	376 1.5×	203 1.2×	141 1.1×	96 2.7×	29 1.0×	7	477
Yuefei Li China	8	192 0.8×	66 0.4×	52 0.4×	25 0.7×	24 0.9×	27	314
Zhi Lü China	5	335 1.3×	104 0.6×	167 1.2×	56 1.6×	11 0.4×	9	442
Magali Monnoye France	11	208 0.8×	52 0.3×	109 0.8×	36 1.0×	17 0.6×	27	347

Countries citing papers authored by Gaofei Li

Since Specialization

Citations

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

Fields of papers citing papers by Gaofei Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaofei Li

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

All Works

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11 of 11 papers shown

Zhu, Lu, et al.. (2024). Integrated Transcriptomic and Metabolomic Analysis Reveals Possible Molecular Mechanisms of Leaf Growth and Development in Disanthus cercidifolius var. longipes. Metabolites. 14(12). 654–654.

Zhu, Lu, et al.. (2024). Transcriptomic and metabolic analysis unveils the mechanism behind leaf color development in Disanthus cercidifolius var. longipes. Frontiers in Molecular Biosciences. 11. 1343123–1343123. 2 indexed citations

Liu, Shuai, et al.. (2023). Disentangling interspecific and intraspecific variability in height–diameter allometry of dominant tree species in the Rocky Mountains across broad spatial scales. Forestry An International Journal of Forest Research. 97(3). 363–375. 2 indexed citations

Peng, Jing, et al.. (2023). Influence of geographic origin and tissue type on the medicinal chemical compounds of Semiliquidambar cathayensis. PeerJ. 11. e15484–e15484. 2 indexed citations

Yan, Lihong, et al.. (2022). Comparative transcriptome analysis of leaf, stem, and root tissues of Semiliquidambar cathayensis reveals candidate genes involved in terpenoid biosynthesis. Molecular Biology Reports. 49(6). 5585–5593. 10 indexed citations

Liang, Ying, Yang Shen, Gaofei Li, et al.. (2022). Schizophrenia Patients With Prevotella-Enterotype Have a Higher Risk of Obesity. Frontiers in Psychiatry. 13. 864951–864951. 4 indexed citations

Shen, Yang, Xiao Yang, Gaofei Li, Jiayu Gao, & Ying Liang. (2021). The change of gut microbiota in MDD patients under SSRIs treatment. Scientific Reports. 11(1). 14918–14918. 62 indexed citations

Zhang, Yang, Magdalena Zielińska, Sriram K. Vidyarthi, et al.. (2020). Pulsed pressure pickling enhances acetic acid transfer, thiosulfinates degradation, color and ultrastructure changes of “Laba” garlic. Innovative Food Science & Emerging Technologies. 65. 102438–102438. 20 indexed citations

Huang, Yichen, Xing Shi, Zhiyong Li, et al.. (2018). Possible association of Firmicutes in the gut microbiota of patients with major depressive disorder. Neuropsychiatric Disease and Treatment. Volume 14. 3329–3337. 238 indexed citations

10.

Wang, Suihai, et al.. (2012). Preparation and Characterization of Monoclonal Antibody Against Glypican-3. Hybridoma. 31(6). 455–461. 7 indexed citations

11.

Li, Gaofei, et al.. (2010). Mineralization Information Extraction Using ASTER Image. 2005. 1–4.

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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