Ethan Xu

4.9k citations
16 papers · 733 · h-index 11

Impact in

  • Parasitology top 10%
    • Toxoplasma gondii Research Studies
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Metabolomics and Mass Spectrometry Studies 4
    • Renal and related cancers 3
    • Bioinformatics and Genomic Networks 2
    • MicroRNA in disease regulation 4

Ethan Xu

16 papers receiving 713 citations

Peers

Ethan Xu
Comparison fields: 5 of 86
  • Parasitology 52
  • Neurology 58
  • Biological Psychiatry 16
  • Developmental Neuroscience 25
  • Molecular Biology 407
Replace Jennifer S. McKay with:
Jennifer S. McKay United Kingdom
Hannes Wickert Germany
Zhenyu Yan China
Florence Burté United Kingdom
Beatriz Villarejo‐Zori Spain
Akiko Nezu Japan
Galina Romanov United States
Paresh Prajapati United States
Noélie Davezac France
Woldeab B. Haile United States
Ethan Xu relative to Jennifer S. McKay United Kingdom Jennifer S. McKay's profile →
Citations per field
00.5×
Jennifer S. McKay · 1×
Citations per year

Countries citing papers authored by Ethan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ethan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012136
2 2020132
3 200185
4 200172
5 200867
6
Metabolomics in pharmaceutical research and development: metabolites, mechanisms and pathways.
200966
7 201652
8 201937
9 202229
10 202315
11 202113
12 202110
13 20209
14 20224
15 20134
16 20222

About Ethan Xu

Ethan Xu is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Ecology and Epidemiology, having authored 16 papers that have together received 733 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), MicroRNA in disease regulation (4 papers), Renal and related cancers (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Bioinformatics and Genomic Networks (2 papers), Cell Adhesion Molecules Research (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Parasitology (52 citations), Neurology (58 citations), Biological Psychiatry (16 citations), Developmental Neuroscience (25 citations) and Molecular Biology (407 citations). Ethan Xu has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Qiuwei Xu, Michael J. Matunis, Jin‐Hyun Ahn, Gary S. Hayward, William H. Schaefer, Won‐Jong Jang, Zhidong Tu, Pavel Sova, Kenneth M. Dombek and Roger E. Bumgarner. Their work appears in journals such as Journal of Virology, Journal of Visualized Experiments, Scientific Reports, Nature Communications and Bioinformatics.

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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