Robert Mines

536 citations
4 papers · 105 · h-index 3

Impact in

    • Genomics and Phylogenetic Studies
    • Machine Learning in Bioinformatics
    • RNA and protein synthesis mechanisms
    • Gut microbiota and health
    • Circular RNAs in diseases
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • RNA and protein synthesis mechanisms 2
    • Gene Regulatory Network Analysis 2
    • Single-cell and spatial transcriptomics 1
    • Genomics and Phylogenetic Studies 1
    • Cytokine Signaling Pathways and Interactions 1

Robert Mines

4 papers receiving 100 citations

Peers

Robert Mines
Comparison fields: 5 of 44
  • Molecular Biology 80
  • Cancer Research 14
  • Artificial Intelligence 28
  • Aging 1
  • Immunology 9
Replace Mahfuza Sharmin with:
Mahfuza Sharmin United States
Licheng Wu China
Borisas Bursteinas United Kingdom
Eric Wei United States
Sarah ElShal Belgium
Chunman Zuo China
Jimmy Vandel France
Che-Yu Lee United States
Zheng-Xing Guan China
Kenta Sato Japan
Robert Mines relative to Mahfuza Sharmin United States Mahfuza Sharmin's profile →
Citations per field
00.5×2.5×
Mahfuza Sharmin · 1×
Citations per year

Countries citing papers authored by Robert Mines

Since Specialization
Citations

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

Fields of papers citing papers by Robert Mines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Robert Mines, 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 Robert Mines Line = papers co-authored together Robert Mines links everyone, so they are left out of the graph.

All Works

About Robert Mines

Robert Mines is a scholar working on Molecular Biology, Oncology, Artificial Intelligence, Cancer Research and Biomedical Engineering, having authored 4 papers that have together received 105 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Gene Regulatory Network Analysis (2 papers), Single-cell and spatial transcriptomics (1 paper), MicroRNA in disease regulation (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cancer-related molecular mechanisms research (1 paper), Genomics and Phylogenetic Studies (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Molecular Biology (80 citations), Cancer Research (14 citations), Artificial Intelligence (28 citations), Aging (1 citation) and Immunology (9 citations). Robert Mines has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Max Robinson, Eugene G. Shpaer, David P. Yee, Tim Hunkapiller, Xiling Shen, Ergang Wang, Lihua Wang, Zhenhua Wu, Kun Xiang and Zhiguo Sun. Their work appears in journals such as eLife, PLoS Computational Biology, Genomics and Methods in molecular biology.

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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