Mateus Mota

529 citations
8 papers · 223 · h-index 7

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Immune cells in cancer
    • Galectins and Cancer Biology

Papers in

    • Epigenetics and DNA Methylation 2
    • Hedgehog Signaling Pathway Studies 2
    • Mechanisms of cancer metastasis 1
    • Glycosylation and Glycoproteins Research 1
    • Cancer Cells and Metastasis 2

Mateus Mota

8 papers receiving 223 citations

Peers

Mateus Mota
Comparison fields: 5 of 42
  • Cancer Research 51
  • Immunology 67
  • Molecular Biology 144
  • Cell Biology 32
  • Neurology 17
Replace Cristina Sorino with:
Cristina Sorino Italy
Giridhar Shivalingaiah Austria
Laurensia Yuniati Netherlands
Alexander E. Kudinov United States
Hazel O’Sullivan Ireland
Jenny Tadros United States
Domenico Sardella Italy
Ayten Kandilci United States
Reona Okada Japan
Michela Carlet Germany
Mateus Mota relative to Cristina Sorino Italy Cristina Sorino's profile →
Citations per field
00.5×2.8×
Cristina Sorino · 1×
Citations per year

Countries citing papers authored by Mateus Mota

Since Specialization
Citations

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

Fields of papers citing papers by Mateus Mota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202188
2 202036
3 201832
4 202321
5 201821
6 202116
7 20218
8 20221

About Mateus Mota

Mateus Mota is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Pathology and Forensic Medicine, having authored 8 papers that have together received 223 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer Cells and Metastasis (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cancer Mechanisms and Therapy (1 paper), Mechanisms of cancer metastasis (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (51 citations), Immunology (67 citations), Molecular Biology (144 citations), Cell Biology (32 citations) and Neurology (17 citations). Mateus Mota has collaborated with scholars based in United States and South Korea. Frequent co-authors include Lalita A. Shevde, Rajeev S. Samant, Brandon J. Metge, Dominique C. Hinshaw, Ann Hanna, Heba Allah Alsheikh, Dongquan Chen, Tshering Lama-Sherpa, Gloria A. Benavides and Victor Darley‐Usmar. Their work appears in journals such as Cancer Research, Molecular Oncology, Carcinogenesis, Proceedings of the National Academy of Sciences and Cancer Letters.

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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