Xiaogang Bi

39 total papers · 402 total citations
23 papers, 223 citations indexed

About

Xiaogang Bi is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Infectious Diseases. According to data from OpenAlex, Xiaogang Bi has authored 23 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 8 papers in Surgery and 7 papers in Infectious Diseases. Recurrent topics in Xiaogang Bi's work include Helicobacter pylori-related gastroenterology studies (3 papers), Gastric Cancer Management and Outcomes (3 papers) and COVID-19 Clinical Research Studies (2 papers). Xiaogang Bi is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (3 papers), Gastric Cancer Management and Outcomes (3 papers) and COVID-19 Clinical Research Studies (2 papers). Xiaogang Bi collaborates with scholars based in China, United States and Russia. Xiaogang Bi's co-authors include Ying Xian, Dan Xie, Xiaohong Hou, Yanyan Zhu, Kouxing Zhang, Wen Xu, Xiaoling Zou, Tiantuo Zhang, Zhitao Li and Ying Wang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Membrane Science and Analytica Chimica Acta.

In The Last Decade

Xiaogang Bi

21 papers receiving 221 citations

Author Peers

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

Author						Papers	Cites
Xiaogang Bi	74	43	41	38	30	23	223
Yuan Zhi	107 1.4×	29 0.7×	78 1.9×	31 0.8×	22 0.7×	31	315
Angela M. Ristuccia	59 0.8×	17 0.4×	42 1.0×	53 1.4×	7 0.2×	15	291
H. D. Riley	70 0.9×	22 0.5×	20 0.5×	37 1.0×	5 0.2×	23	204
Robert Hammond	101 1.4×	22 0.5×	38 0.9×	131 3.4×	12 0.4×	31	275
Chia‐Chen Lin	27 0.4×	81 1.9×	41 1.0×	112 2.9×	18 0.6×	24	314
Kuicheng Zheng	38 0.5×	19 0.4×	17 0.4×	17 0.4×	16 0.5×	23	208
David C. Gillis	46 0.6×	21 0.5×	56 1.4×	36 0.9×	5 0.2×	23	328
A. Maes	54 0.7×	8 0.2×	50 1.2×	19 0.5×	31 1.0×	17	281
F.R.C. Path	78 1.1×	44 1.0×	37 0.9×	30 0.8×	3 0.1×	13	324
R. O. Peckinpaugh	162 2.2×	24 0.6×	27 0.7×	71 1.9×	4 0.1×	22	281

Countries citing papers authored by Xiaogang Bi

Since Specialization

Citations

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

Fields of papers citing papers by Xiaogang Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaogang Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaogang Bi. A scholar is included among the top collaborators of Xiaogang Bi 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 Xiaogang Bi. Xiaogang Bi 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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