Xiaoyan Gai

58 total papers · 514 total citations
38 papers, 321 citations indexed

About

Xiaoyan Gai is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Xiaoyan Gai has authored 38 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 9 papers in Infectious Diseases and 8 papers in Molecular Biology. Recurrent topics in Xiaoyan Gai's work include Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers), Diagnosis and treatment of tuberculosis (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Xiaoyan Gai is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers), Diagnosis and treatment of tuberculosis (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Xiaoyan Gai collaborates with scholars based in China, United States and South Africa. Xiaoyan Gai's co-authors include Yongchang Sun, Yanqing Le, Yongchang Sun, Lu Zhou, Jing Xiong, Xia Yang, Wenli Cao, Brian Allwood, Chun Chang and Yanhong Wang and has published in prestigious journals such as The Journal of Immunology, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Xiaoyan Gai

33 papers receiving 317 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xiaoyan Gai	126	87	83	64	55	38	321
Jinyan Yu	64 0.5×	112 1.3×	55 0.7×	81 1.3×	27 0.5×	23	329
Mehmet Araslı	52 0.4×	47 0.5×	35 0.4×	53 0.8×	70 1.3×	22	291
Keita Miki	36 0.3×	71 0.8×	49 0.6×	42 0.7×	70 1.3×	25	358
Masayuki Kamochi	58 0.5×	44 0.5×	126 1.5×	25 0.4×	45 0.8×	38	347
Zbigniew Hruby	40 0.3×	62 0.7×	56 0.7×	20 0.3×	50 0.9×	32	281
Fatih Fırıncı	102 0.8×	64 0.7×	55 0.7×	28 0.4×	45 0.8×	35	331
S. Winkler	48 0.4×	27 0.3×	47 0.6×	50 0.8×	39 0.7×	29	292
Alpa J. Dherai	37 0.3×	75 0.9×	28 0.3×	40 0.6×	52 0.9×	31	328
C. Babin-Chevaye	55 0.4×	68 0.8×	93 1.1×	36 0.6×	19 0.3×	24	332
Xin Xiao	80 0.6×	72 0.8×	52 0.6×	17 0.3×	44 0.8×	27	293

Countries citing papers authored by Xiaoyan Gai

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyan Gai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Gai

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

All Works

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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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