Bing Xie

48 total papers · 1.1k total citations
17 papers, 378 citations indexed

About

Bing Xie is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Bing Xie has authored 17 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Paleontology. Recurrent topics in Bing Xie's work include Venomous Animal Envenomation and Studies (6 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Pluripotent Stem Cells Research (4 papers). Bing Xie is often cited by papers focused on Venomous Animal Envenomation and Studies (6 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Pluripotent Stem Cells Research (4 papers). Bing Xie collaborates with scholars based in China, Australia and Netherlands. Bing Xie's co-authors include Ye Zhou, Qingliang Zheng, Yingyun Yang, Jin Hou, Xuetao Cao, Bryan G. Fry, Qiong Shi, Liu Z, Jiang Zhu and Daniel Dashevsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Bing Xie

15 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Bing Xie	238	132	110	46	38	17	378
Carla Cristina Squaiella‐Baptistão	104 0.4×	141 1.1×	111 1.0×	42 0.9×	23 0.6×	26	414
Monique R. O. Trugilho	165 0.7×	176 1.3×	27 0.2×	55 1.2×	36 0.9×	17	417
Stephanie Stransky	189 0.8×	174 1.3×	24 0.2×	32 0.7×	47 1.2×	34	361
Seiji Sadahiro	140 0.6×	251 1.9×	54 0.5×	12 0.3×	25 0.7×	30	344
Mustapha Lkhider	144 0.6×	121 0.9×	49 0.4×	10 0.2×	27 0.7×	26	390
Albert N. Menezes	112 0.5×	77 0.6×	45 0.4×	10 0.2×	79 2.1×	18	338
Juliana C. Sobrinho	235 1.0×	357 2.7×	42 0.4×	37 0.8×	54 1.4×	11	444
Chengbo Long	117 0.5×	99 0.8×	26 0.2×	12 0.3×	15 0.4×	19	415
Kristina Nelson	278 1.2×	76 0.6×	47 0.4×	25 0.5×	11 0.3×	12	437
Shun Kawabata	153 0.6×	130 1.0×	123 1.1×	12 0.3×	9 0.2×	12	408

Countries citing papers authored by Bing Xie

Since Specialization

Citations

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

Fields of papers citing papers by Bing Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Xie

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