Bei Xu

5.1k citations
165 papers · 3.7k · h-index 31

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 9
    • RNA Interference and Gene Delivery 6
    • Advanced biosensing and bioanalysis techniques 5
    • Pregnancy and preeclampsia studies 27

Bei Xu

159 papers receiving 3.6k citations

Peers

Bei Xu
Comparison fields: 5 of 136
  • Obstetrics and Gynecology 508
  • Cancer Research 457
  • Nephrology 207
  • Reproductive Medicine 231
  • Immunology 448
Replace Weiwei Wang with:
Weiwei Wang China
Sanam Dolati Iran
Amir Mehdizadeh Iran
Carole Nicco France
Bernard Weill France
Chia‐Jung Li Taiwan
Guoxiong Xu China
Christiane Chéreau France
Michael M. Hoffmann Germany
Ghassan M. Saed United States
Bei Xu relative to Weiwei Wang China Weiwei Wang's profile →
Citations per field
00.5×5.4×
Weiwei Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bei Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bei Xu Line = papers co-authored together Bei Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011430
2 2012208
3 2019171
4 200589
5 201088
6 201685
7 201475
8 201162
9 201160
10 201760
11 200854
12 201354
13 201250
14 201549
15 201345
16 202143
17 200842
18 201542
19 201441
20 200640

About Bei Xu

Bei Xu is a scholar working on Molecular Biology, Obstetrics and Gynecology, Immunology, Oncology and Cancer Research, having authored 165 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (27 papers), Reproductive System and Pregnancy (14 papers), Nanoparticle-Based Drug Delivery (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers), RNA Interference and Gene Delivery (6 papers), Multiple Myeloma Research and Treatments (6 papers), Birth, Development, and Health (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Obstetrics and Gynecology (508 citations), Cancer Research (457 citations), Nephrology (207 citations), Reproductive Medicine (231 citations) and Immunology (448 citations). Bei Xu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Annemarie Hennessy, Angela Makris, Radko Komers, Jun Shi, Hong Wang, Charlene Thornton, Guijin Zhu, Peng Liu, T Oyama and Phillip Kantharidis. Their work appears in journals such as Pregnancy Hypertension, Placenta, International Journal of Molecular Sciences, Clinical and Experimental Pharmacology and Physiology and Journal of Chromatography A.

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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