Angelo Limeta

871 citations
10 papers · 537 · h-index 7

Impact in

    • Microbial Metabolic Engineering and Bioproduction
    • Bioinformatics and Genomic Networks
    • Gut microbiota and health
    • Metabolomics and Mass Spectrometry Studies
    • Gene Regulatory Network Analysis
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics

Papers in

Angelo Limeta

10 papers receiving 533 citations

Peers

Angelo Limeta
Comparison fields: 5 of 78
  • Molecular Biology 370
  • Cancer Research 71
  • Biological Psychiatry 9
  • Oncology 89
  • Aging 4
Replace Weiwei Shi with:
Weiwei Shi China
Vivien Low United States
Sara M. Centuori United States
Wojciech Senkowski Sweden
Kelsey E. Huntington United States
Zulfiqar G. Gulzar United States
Amanda K. L. Anderson United States
Sami Yokoo Brazil
Orlev Levy‐Nissenbaum Israel
Milan R. Savani United States
Angelo Limeta relative to Weiwei Shi China Weiwei Shi's profile →
Citations per field
00.5×1.5×2×2.4×
Weiwei Shi · 1×
Citations per year

Countries citing papers authored by Angelo Limeta

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Limeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2020270
2 2020126
3 202254
4 201832
5 202220
6 202212
7 20237
8 20236
9 20235
10 20235

About Angelo Limeta

Angelo Limeta is a scholar working on Biotechnology, Cancer Research, Molecular Biology, Oncology and Hepatology, having authored 10 papers that have together received 537 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA and protein synthesis mechanisms (2 papers), Renal cell carcinoma treatment (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cancer Research and Treatments (1 paper), Cancer Cells and Metastasis (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (370 citations), Cancer Research (71 citations), Biological Psychiatry (9 citations), Oncology (89 citations) and Aging (4 citations). Angelo Limeta has collaborated with scholars based in Sweden, Denmark and Italy. Frequent co-authors include JENS KVIST NIELSEN, Francesco Gatto, Max Levin, Boyang Ji, Raphaël Ferreira, Thomas L. Svensson, Mathias Uhlén, Mihail Anton, Pierre‐Etienne Cholley and Daniel Cook. Their work appears in journals such as ACS Synthetic Biology, Trends in biotechnology, Journal of Biological Chemistry, Computational and Structural Biotechnology Journal and Science Signaling.

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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