Xiaoning Hong

622 citations
9 papers · 120 · h-index 4

Impact in

    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock
    • Aquaculture Nutrition and Growth

Papers in

Xiaoning Hong

7 papers receiving 119 citations

Peers

Xiaoning Hong
Comparison fields: 5 of 35
  • Genetics 56
  • Aquatic Science 12
  • Nature and Landscape Conservation 15
  • Aging 2
  • Cancer Research 15
Replace Yuuta Moriyama with:
Yuuta Moriyama Japan
Fergal J. Martin United Kingdom
Saoirse Foley United States
Baosheng Wu China
Julia Wücherpfennig United States
Srinidhi Varadharajan Norway
Emily Killingbeck United States
Yo Y. Yamasaki Japan
Mengjun Yu China
Gideon Zipprich Germany
Xiaoning Hong relative to Yuuta Moriyama Japan Yuuta Moriyama's profile →
Citations per field
00.5×1.5×1.9×
Yuuta Moriyama · 1×
Citations per year

Countries citing papers authored by Xiaoning Hong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201982
2 202418
3 20248
4 20234
5 20243
6 20203
7 20242
8 20250
9 20250

About Xiaoning Hong

Xiaoning Hong is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 120 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers), Vitamin D Research Studies (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Genetics (56 citations), Aquatic Science (12 citations), Nature and Landscape Conservation (15 citations), Aging (2 citations) and Cancer Research (15 citations). Xiaoning Hong has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Shanshan Liu, Guangyi Fan, Xin Liu, Arild Folkvord, He Zhang, Jason Hill, Leanne Haggerty, Paul Flicek, Mats E. Pettersson and Qiwu Xu. Their work appears in journals such as iScience, Thorax, Scientific Data, Cell Communication and Signaling and Journal of Allergy and Clinical Immunology.

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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