Bei Xu

14 total papers · 576 total citations
12 papers, 384 citations indexed

About

Bei Xu is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Bei Xu has authored 12 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Reproductive Medicine, 8 papers in Pediatrics, Perinatology and Child Health and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Bei Xu's work include Assisted Reproductive Technology and Twin Pregnancy (8 papers), Ovarian function and disorders (8 papers) and Reproductive Biology and Fertility (5 papers). Bei Xu is often cited by papers focused on Assisted Reproductive Technology and Twin Pregnancy (8 papers), Ovarian function and disorders (8 papers) and Reproductive Biology and Fertility (5 papers). Bei Xu collaborates with scholars based in China, United States and Netherlands. Bei Xu's co-authors include Lei Jin, Guijin Zhu, Jihui Ai, Yufeng Li, Li Zhou, Xinling Ren, Bo Huang, Lixia Zhu, Dirk Geerts and Lei Jin and has published in prestigious journals such as PLoS ONE, Human Reproduction and Fertility and Sterility.

In The Last Decade

Bei Xu

12 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Bei Xu	319	273	174	57	49	12	384
George K. Petsas	321 1.0×	299 1.1×	152 0.9×	105 1.8×	46 0.9×	12	443
Yoel Geslevich	291 0.9×	252 0.9×	153 0.9×	47 0.8×	32 0.7×	20	358
Jean-René Zorn	288 0.9×	234 0.9×	132 0.8×	43 0.8×	63 1.3×	11	354
Michael Scholtes	272 0.9×	265 1.0×	194 1.1×	63 1.1×	78 1.6×	25	413
Omar Sefrioui	232 0.7×	201 0.7×	90 0.5×	62 1.1×	33 0.7×	17	336
Julian S. Pampiglione	248 0.8×	190 0.7×	104 0.6×	56 1.0×	84 1.7×	14	338
Simion Meltcer	348 1.1×	294 1.1×	177 1.0×	59 1.0×	73 1.5×	31	416
Amanda Tozer	340 1.1×	316 1.2×	140 0.8×	61 1.1×	24 0.5×	24	416
M. Matilsky	286 0.9×	231 0.8×	107 0.6×	58 1.0×	24 0.5×	15	341
Yujing Xiong	237 0.7×	271 1.0×	146 0.8×	128 2.2×	56 1.1×	18	386

Countries citing papers authored by Bei Xu

Since Specialization

Citations

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

Fields of papers citing papers by Bei Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Xu

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