Beichen Xie

434 citations
20 papers · 301 · h-index 9

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Ion Channels and Receptors

Papers in

Beichen Xie

18 papers receiving 301 citations

Peers

Beichen Xie
Comparison fields: 5 of 61
  • Cell Biology 126
  • Sensory Systems 29
  • Physiology 26
  • Molecular Biology 178
  • Cellular and Molecular Neuroscience 44
Replace Jamie R. K. Marland with:
Jamie R. K. Marland United Kingdom
Wendy Vermeire Belgium
Whitney Reid United States
Andrés Guillén-Samander United States
Philip Ropelewski United States
Christine Berthier France
Frans P.M. Cremers Netherlands
Simone Wanderoy Germany
Heather T. Daggett United States
Beichen Xie relative to Jamie R. K. Marland United Kingdom Jamie R. K. Marland's profile →
Citations per field
00.5×5.8×
Jamie R. K. Marland · 1×
Citations per year

Countries citing papers authored by Beichen Xie

Since Specialization
Citations

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

Fields of papers citing papers by Beichen Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beichen Xie, 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 Beichen Xie Line = papers co-authored together Beichen Xie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2015126
2 201826
3 201823
4 201622
5 202221
6 201821
7 201914
8 201914
9 202111
10 20238
11 20165
12 20232
13 20232
14 20232
15 20251
16 20221
17 20231
18 20241
19 20250
20 20250

About Beichen Xie

Beichen Xie is a scholar working on Surgery, Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 20 papers that have together received 301 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Cellular transport and secretion (5 papers), Advanced X-ray and CT Imaging (2 papers), Advanced Battery Technologies Research (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Electric and Hybrid Vehicle Technologies (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Cell Biology (126 citations), Sensory Systems (29 citations), Physiology (26 citations), Molecular Biology (178 citations) and Cellular and Molecular Neuroscience (44 citations). Beichen Xie has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Olof Idevall‐Hagren, Pietro De Camilli, Sebastian Barg, P.W. O’Callaghan, Johan Kreuger, Ming Zhang, Yu Dai, Maojie Zhang, Jing Cen and Xiaomin Huang. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, The Journal of Cell Biology, Scientific Reports, Metals and Science Advances.

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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