Xiaoning Bi

4.4k citations
5 papers · 293 · h-index 4

Impact in

  • Physiology top 5%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
    • Alzheimer's disease research and treatments
    • Cellular transport and secretion

Papers in

    • Autophagy in Disease and Therapy 3
    • Lysosomal Storage Disorders Research 3
    • Calcium signaling and nucleotide metabolism 2

Xiaoning Bi

5 papers receiving 291 citations

Peers

Xiaoning Bi
Comparison fields: 5 of 57
  • Physiology 53
  • Physiology 157
  • Cell Biology 56
  • Epidemiology 98
  • Biological Psychiatry 5
Replace Lorena Fernández-Mosquera with:
Lorena Fernández-Mosquera Germany
Joshua W Sokol United States
Jennifer T. Saville Australia
Joshua K. Thackray United States
Lauren Morris United Kingdom
Ana Carolina Brusius‐Facchin Brazil
Ashley N. Gonzalez United States
Ernestas Sirka United Kingdom
Sylvie Duthel France
Ruoxi Wang United States
Xiaoning Bi relative to Lorena Fernández-Mosquera Germany Lorena Fernández-Mosquera's profile →
Citations per field
00.5×1.5×1.9×
Lorena Fernández-Mosquera · 1×
Citations per year

Countries citing papers authored by Xiaoning Bi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Xiaoning Bi, 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 Xiaoning Bi Line = papers co-authored together Xiaoning Bi links everyone, so they are left out of the graph.

All Works

About Xiaoning Bi

Xiaoning Bi is a scholar working on Epidemiology, Physiology, Physiology, Pulmonary and Respiratory Medicine and Oncology, having authored 5 papers that have together received 293 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Lysosomal Storage Disorders Research (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Lung Cancer Treatments and Mutations (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Maternal Mental Health During Pregnancy and Postpartum (1 paper). The work is most often cited by research in Physiology (53 citations), Physiology (157 citations), Cell Biology (56 citations), Epidemiology (98 citations) and Biological Psychiatry (5 citations). Xiaoning Bi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Guanghong Liao, Simon Cheung, Xiaoli Liang, Jihua Liu, Yu Zhang, Qingyu Qin, Dongmei Chen, Chenyang Zhang, Fan Luo and Hongyang Chen. Their work appears in journals such as Brain Research, Journal of Immunotherapy, Sub-cellular biochemistry, Frontiers in Psychiatry and American Journal Of Pathology.

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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