Chris S. Thomas

2.6k citations
7 papers · 151 · h-index 6

Impact in

Papers in

    • Genomics and Phylogenetic Studies 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Microbial Natural Products and Biosynthesis 4

Chris S. Thomas

7 papers receiving 148 citations

Peers

Chris S. Thomas
Comparison fields: 5 of 66
  • Pharmacology 48
  • Biotechnology 24
  • Molecular Biology 88
  • Horticulture 1
  • Applied Microbiology and Biotechnology 2
Replace Luis Linares-Otoya with:
Luis Linares-Otoya Germany
Anastasia Orme United Kingdom
Zhen‐Yi Zhou China
Seong-Hwan Kim South Korea
Katherine D. Bauman United States
Omkar S. Mohite Denmark
Deepa Acharya United States
Nina V. Evseeva Russia
Yu-Ping Wu China
Andy DeGiovanni United States
Chris S. Thomas relative to Luis Linares-Otoya Germany Luis Linares-Otoya's profile →
Citations per field
00.5×1.5×2.2×
Luis Linares-Otoya · 1×
Citations per year

Countries citing papers authored by Chris S. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Chris S. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris S. Thomas. 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 Chris S. Thomas. The network helps show where Chris S. Thomas may publish in the future.

Co-authors

The 22 scholars most cited alongside Chris S. Thomas, 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 Chris S. Thomas Line = papers co-authored together Chris S. Thomas links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202273
2 202034
3 201727
4 20206
5 20175
6
Mashup corporations : the end of business as usual : a chronicle of service-oriented business transformation
20075
7
Can implementation of technology transform the management of Parkinson's? Lessons learnt from the Parkinson's KinetiGraph (TM) (PKG (TM)) service evaluation project
20171

About Chris S. Thomas

Chris S. Thomas is a scholar working on Molecular Biology, Pharmacology, Infectious Diseases, Neurology and Pollution, having authored 7 papers that have together received 151 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (4 papers), Genomics and Phylogenetic Studies (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Tuberculosis Research and Epidemiology (1 paper), Pharmaceutical and Antibiotic Environmental Impacts (1 paper), Sharing Economy and Platforms (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Pharmacology (48 citations), Biotechnology (24 citations), Molecular Biology (88 citations), Horticulture (1 citation) and Applied Microbiology and Biotechnology (2 citations). Chris S. Thomas has collaborated with scholars based in United States. Frequent co-authors include Tim S. Bugni, Shaurya Chanana, Scott R. Rajski, Jo Handelsman, Kris Sankaran, Marc G. Chevrette, Amanda Hurley, Fan Zhang, Thomas P. Wyche and Yanpeng Hou. Their work appears in journals such as Marine Drugs, Proceedings of the National Academy of Sciences, PLoS ONE, Metabolites and Medical Entomology and Zoology.

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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