Ethan Xu

4.8k citations
16 papers · 723 · h-index 11

Impact in

  • Parasitology top 10%
    • Toxoplasma gondii Research Studies
    • 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 5
    • Cancer-related molecular mechanisms research 3

Ethan Xu

16 papers receiving 703 citations

Peers

Ethan Xu
Comparison fields: 5 of 88
  • Parasitology 55
  • Neurology 61
  • Molecular Biology 438
  • Developmental Neuroscience 25
  • Biological Psychiatry 15
Replace Jin‐Mi Heo with:
Jin‐Mi Heo United States
Sebastian Brachs Germany
Cong Yi China
Catherine S. Palmer Australia
Elena Ingerman United States
Galina Romanov United States
Dixie‐Lee Shurland United States
Sudhir Kshirsagar United States
Inmaculada Monleón Spain
Akiko Nezu Japan
Ethan Xu relative to Jin‐Mi Heo United States Jin‐Mi Heo's profile →
Citations per field
00.5×2.8×
Jin‐Mi Heo · 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 2012134
2 2020130
3 200185
4 200172
5 200867
6
Metabolomics in pharmaceutical research and development: metabolites, mechanisms and pathways.
200966
7 201652
8 201937
9 202227
10 202112
11 202312
12 202110
13 20209
14 20134
15 20224
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 723 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Renal and related cancers (3 papers), Cancer-related molecular mechanisms research (3 papers), Physiological and biochemical adaptations (2 papers), Cell Adhesion Molecules Research (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Parasitology (55 citations), Neurology (61 citations), Molecular Biology (438 citations), Developmental Neuroscience (25 citations) and Biological Psychiatry (15 citations). Ethan Xu has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Qiuwei Xu, Gary S. Hayward, Jin‐Hyun Ahn, Michael J. Matunis, William H. Schaefer, Won‐Jong Jang, Eric E. Schadt, Jun Zhu, Pavel Sova and Roger E. Bumgarner. Their work appears in journals such as Scientific Reports, Journal of Virology, Journal of Visualized Experiments, Human Gene Therapy and BMC Genomics.

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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