Noélia Che

606 citations
10 papers · 424 · h-index 7

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology

Papers in

    • Epigenetics and DNA Methylation 3
    • Metabolism, Diabetes, and Cancer 2
    • Cancer-related gene regulation 2
    • Single-cell and spatial transcriptomics 1
    • Protein Degradation and Inhibitors 1
    • Cancer, Hypoxia, and Metabolism 4
    • Cancer Genomics and Diagnostics 1

Noélia Che

10 papers receiving 422 citations

Peers

Noélia Che
Comparison fields: 5 of 56
  • Cancer Research 167
  • Hepatology 82
  • Molecular Biology 282
  • Oncology 103
  • Immunology 58
Replace Kai‐Yu Ng with:
Kai‐Yu Ng Hong Kong
Jiongqiang Huang China
Marco Seehawer United States
Suk Mei Wang Singapore
Yuquan Tao China
Senjun Zhou China
Manqing Cao China
Jason T. Godfrey United States
Petra Koudelková Austria
Shinji Oie Japan
Noélia Che relative to Kai‐Yu Ng Hong Kong Kai‐Yu Ng's profile →
Citations per field
00.5×1.5×
Kai‐Yu Ng · 1×
Citations per year

Countries citing papers authored by Noélia Che

Since Specialization
Citations

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

Fields of papers citing papers by Noélia Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201899
2 201991
3 201973
4 201764
5 202142
6 202127
7 202023
8 20242
9 20232
10 20181

About Noélia Che

Noélia Che is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Pathology and Forensic Medicine, having authored 10 papers that have together received 424 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Acute Myeloid Leukemia Research (2 papers), Cancer-related gene regulation (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (167 citations), Hepatology (82 citations), Molecular Biology (282 citations), Oncology (103 citations) and Immunology (58 citations). Noélia Che has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Stephanie Ma, Tin Lok Wong, Terence K. Lee, Man Tong, Lei Zhou, Kwan Man, Chung Mau Lo, Jin Ding, Esw Ngan and Kel Vin Tan. Their work appears in journals such as Hepatology, Cancers, Journal of Hepatology, Cancer Letters and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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