Michael Ferry

433 citations
7 papers · 352 · h-index 7

Impact in

Papers in

    • Gene Regulatory Network Analysis 3
    • Microbial Metabolic Engineering and Bioproduction 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Gene expression and cancer classification 1
    • Fungal and yeast genetics research 1
    • Microfluidic and Bio-sensing Technologies 1

Michael Ferry

7 papers receiving 343 citations

Peers

Michael Ferry
Comparison fields: 5 of 66
  • Energy Engineering and Power Technology 21
  • Biophysics 35
  • Aging 8
  • Molecular Biology 161
  • Control and Systems Engineering 48
Replace Sergio J. Navas with:
Sergio J. Navas Spain
Soo-Hyun Baek South Korea
Sujata Nayak India
Péter Stumpf Hungary
Wei-Chieh Huang Taiwan
Kui Hua China
Ahmed K. Abbas Iraq
Seongwan Kim South Korea
Chongwu Wang China
Ruosi Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Michael Ferry

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ferry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Michael Ferry, 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 Michael Ferry Line = papers co-authored together Michael Ferry links everyone, so they are left out of the graph.

All Works

About Michael Ferry

Michael Ferry is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Artificial Intelligence, having authored 7 papers that have together received 352 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Circadian rhythm and melatonin (1 paper), Gene expression and cancer classification (1 paper), Solar Radiation and Photovoltaics (1 paper), Fungal and yeast genetics research (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (21 citations), Biophysics (35 citations), Aging (8 citations), Molecular Biology (161 citations) and Control and Systems Engineering (48 citations). Michael Ferry has collaborated with scholars based in United States, Russia and Mexico. Frequent co-authors include Jeff Hasty, Ivan Razinkov, A. Nottrott, Ryan Hanna, Jan Kleissl, Ron Weiss, Ting Lu, Ernestina Castro‐Longoria, Salomón Bartnicki-Garcı́a and Stuart Brody. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Biology, Solar Energy, Biofuels and Methods in enzymology on CD-ROM/Methods in enzymology.

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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