Tom Markello
Impact in
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- Lipid Membrane Structure and Behavior
- Glycosylation and Glycoproteins Research
- Protein Interaction Studies and Fluorescence Analysis
- Protein Structure and Dynamics
- Sphingolipid Metabolism and Signaling
- RNA Interference and Gene Delivery
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- Cellular transport and secretion
Papers in
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- Lipid Membrane Structure and Behavior 5
- Metabolomics and Mass Spectrometry Studies 2
- Genomics and Phylogenetic Studies 1
- RNA modifications and cancer 1
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- Molecular Sensors and Ion Detection 1
- Analytical Chemistry and Chromatography 1
- Co-authors
- Peter W. Holloway (3 shared papers)T. E. Thompson (2 shared papers)Yechezkel Barenholz (2 shared papers)Adam Zlotnick (1 shared paper)Ernesto Freire (1 shared paper)James Everett (1 shared paper)Frances A. Stephenson (1 shared paper)Rhoderick E. Brown (1 shared paper)
- Journals
- Biochemistry (2 papers)Chemistry and Physics of Lipids (2 papers)Human Mutation (1 paper)Clinical Genetics (1 paper)Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Tom Markello
9 papers receiving 248 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 226
- Cell Biology 30
- Biochemistry 11
- Biophysics 8
- Spectroscopy 23
Countries citing papers authored by Tom Markello
This map shows the geographic impact of Tom Markello'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 Tom Markello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Markello more than expected).
Fields of papers citing papers by Tom Markello
This network shows the impact of papers produced by Tom Markello. 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 Tom Markello. The network helps show where Tom Markello may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Markello, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 69 | |
| 2 | 1985 | 63 | |
| 3 | 1983 | 57 | |
| 4 | 2012 | 25 | |
| 5 | 2016 | 18 | |
| 6 | 1984 | 17 | |
| 7 | 1985 | 8 | |
| 8 | 1982 | 7 | |
| 9 | 2023 | 1 |
About Tom Markello
Tom Markello is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Cardiology and Cardiovascular Medicine and Oncology, having authored 9 papers that have together received 265 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Thermodynamic properties of mixtures (1 paper), Molecular Sensors and Ion Detection (1 paper), Genomics and Phylogenetic Studies (1 paper), Analytical Chemistry and Chromatography (1 paper), Lipid metabolism and biosynthesis (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (226 citations), Cell Biology (30 citations), Biochemistry (11 citations), Biophysics (8 citations) and Spectroscopy (23 citations). Tom Markello has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Peter W. Holloway, T. E. Thompson, Yechezkel Barenholz, Adam Zlotnick, Ernesto Freire, James Everett, Frances A. Stephenson, Rhoderick E. Brown, Dov Lichtenberg and Karin Fuentes Fajardo. Their work appears in journals such as Biochemistry, Chemistry and Physics of Lipids, Human Mutation, Clinical Genetics and Journal of Pharmaceutical 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.