X. Yang

426 citations
8 papers · 344 · h-index 4

Impact in

  • Genetics top 10%
    • Estrogen and related hormone effects
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions
    • Cancer Risks and Factors
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Cells and Metastasis 2
    • Cancer Immunotherapy and Biomarkers 2
    • Estrogen and related hormone effects 3
    • Animal Genetics and Reproduction 1

X. Yang

8 papers receiving 339 citations

Peers

X. Yang
Comparison fields: 5 of 46
  • Genetics 259
  • Oncology 178
  • Reproductive Medicine 36
  • Cancer Research 48
  • Endocrinology, Diabetes and Metabolism 47
Replace Antonietta de Falco with:
Antonietta de Falco Italy
Hari Singhal United States
Alison E. Obr United States
Carolyn Slater United States
Andréa Fournier Canada
Valentina Scabia Switzerland
Carolina Schere‐Levy Argentina
Guiqiang Du China
Rana Varshochi United Kingdom
Arindam Paul United States
X. Yang relative to Antonietta de Falco Italy Antonietta de Falco's profile →
Citations per field
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Antonietta de Falco · 1×
Citations per year

Countries citing papers authored by X. Yang

Since Specialization
Citations

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

Fields of papers citing papers by X. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside X. Yang, 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 X. Yang Line = papers co-authored together X. Yang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1998167
2 2000112
3 199755
4 20243
5 20112
6 20112
7
[Influence of iron deficiency anemia on development of thymus and spleen and adenosine deaminase activity in rats].
19902
8 20251

About X. Yang

X. Yang is a scholar working on Oncology, Genetics, Pharmacology, Immunology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 344 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Immunotherapy and Immune Responses (2 papers), Cancer Cells and Metastasis (2 papers), Cannabis and Cannabinoid Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Autophagy in Disease and Therapy (1 paper), Animal Genetics and Reproduction (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Genetics (259 citations), Oncology (178 citations), Reproductive Medicine (36 citations), Cancer Research (48 citations) and Endocrinology, Diabetes and Metabolism (47 citations). X. Yang has collaborated with scholars based in China and United States. Frequent co-authors include G. Shyamala, Emily C. Dale, Mary Helen Barcellos‐Hoff, Gary B. Silberstein, Robert D. Cardiff, D O Toft, Nan Sun, Xin‐Yuan Guan, Chunjie Wang and Lin Ding. Their work appears in journals such as Proceedings of the National Academy of Sciences, iScience, The Journal of Steroid Biochemistry and Molecular Biology, Diseases of the Esophagus and Journal of Molecular Medicine.

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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