Jeff Morris

438 citations
3 papers · 159 · h-index 3

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 1
    • Enzyme function and inhibition 1
    • PI3K/AKT/mTOR signaling in cancer 1
    • Plant biochemistry and biosynthesis 1
    • Protein Kinase Regulation and GTPase Signaling 1
    • Computational Drug Discovery Methods 1

Jeff Morris

3 papers receiving 146 citations

Peers

Jeff Morris
Comparison fields: 5 of 75
  • Analytical Chemistry 52
  • Computational Theory and Mathematics 48
  • Biophysics 11
  • Statistics and Probability 15
  • Industrial and Manufacturing Engineering 9
Replace Qingda Zang with:
Qingda Zang United States
Gustavo E. Vázquez Argentina
E. Du Pasquier Australia
Valeria Scardino Argentina
Leyden Fernández Cuba
Rola Houhou Germany
Bradley J. Ridder United States
Mark Nelms United States
Amanda E. Sinha United States
Monika Wortberg United States
Jeff Morris relative to Qingda Zang United States Qingda Zang's profile →
Citations per field
00.5×7.5×
Qingda Zang · 1×
Citations per year

Countries citing papers authored by Jeff Morris

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Jeff Morris, 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 Jeff Morris Line = papers co-authored together Jeff Morris links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Jeff Morris

Jeff Morris is a scholar working on Molecular Biology, Computational Theory and Mathematics, Food Science, Analytical Chemistry and Statistics and Probability, having authored 3 papers that have together received 159 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Enzyme function and inhibition (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Spectroscopy and Chemometric Analyses (1 paper), Plant biochemistry and biosynthesis (1 paper), Advanced Statistical Methods and Models (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Analytical Chemistry (52 citations), Computational Theory and Mathematics (48 citations), Biophysics (11 citations), Statistics and Probability (15 citations) and Industrial and Manufacturing Engineering (9 citations). Jeff Morris has collaborated with scholars based in United Kingdom. Frequent co-authors include Ian Wakeling, Eleanor J. Gardiner, Valerie J. Gillet, Kevin Blades, Janet D. Culshaw, Emma Williams, Kurt G. Pike, Martin Pass, Craig Roberts and Linette Ruston. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemometrics and Journal of Chemical Information and Computer Sciences.

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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