Pu‐Ting Xu

926 citations
14 papers · 769 indexed · h-index 12

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Retinoids in leukemia and cellular processes 2
    • Machine Learning in Bioinformatics 1
    • Alzheimer's disease research and treatments 5

Pu‐Ting Xu

14 papers receiving 765 citations

Peers

Pu‐Ting Xu
Comparison fields: 5 of 76
  • Physiology 374
  • Neurology 82
  • Cellular and Molecular Neuroscience 151
  • Developmental Neuroscience 24
  • Molecular Biology 383
Replace Gaëlle Mawambo with:
Gaëlle Mawambo Canada
Andrea Cabibbo Italy
Christiane Alexander Germany
Kyung‐Chan Choi South Korea
Rajaa Hussien United States
Ling Zhong China
Robert S. Garrett United States
Carol X Chen Canada
Jenny Yu Canada
David B. Wang United States
Pu‐Ting Xu relative to Gaëlle Mawambo Canada Gaëlle Mawambo's profile →
Citations per field
00.5×2.7×
Gaëlle Mawambo · 1×
Citations per year

Countries citing papers authored by Pu‐Ting Xu

Since Specialization
Citations

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

Fields of papers citing papers by Pu‐Ting Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1996156
2 1999147
3 200873
4 201265
5 200562
6 201343
7 199842
8 199941
9 199337
10 200735
11 201334
12 201217
13 19969
14 20068

About Pu‐Ting Xu

Pu‐Ting Xu is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 769 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Effects of Radiation Exposure (3 papers), Nuclear Receptors and Signaling (3 papers), MicroRNA in disease regulation (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Peptidase Inhibition and Analysis (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Physiology (374 citations), Neurology (82 citations), Cellular and Molecular Neuroscience (151 citations), Developmental Neuroscience (24 citations) and Molecular Biology (383 citations). Pu‐Ting Xu has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include John R. Gilbert, Donald E. Schmechel, Tracie Rothrock‐Christian, John F. Ervin, Allen D. Roses, Isabel L. Jackson, Željko Vujašković, Julian D. Down, D Burkhart and Brian Popko. Their work appears in journals such as Health Physics, Neurobiology of Disease, Birth Defects Research Part A Clinical and Molecular Teratology, Human Molecular Genetics 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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