Taylor M. Weiskittel
- Biochemistry top 10%
- Lipid metabolism and biosynthesis 3
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography 3
- Mass Spectrometry Techniques and Applications 3
- Civil and Structural Engineering top 10%
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- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 5
- Single-cell and spatial transcriptomics 3
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- Computational Drug Discovery Methods 4
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Nickolay V. LavrikAndrew M. DruckreyKhalid A. AlshibliRiyadh I. Al‐RaoushPaul DalhaimerVilmos KertészGary J. Van BerkelMarissa Vavrek
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (2 papers)Analytical Chemistry (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Taylor M. Weiskittel
29 papers receiving 447 citations
Peers
Comparison fields: 5 of 105
- Biochemistry 52
- Spectroscopy 81
- Civil and Structural Engineering 95
- Management, Monitoring, Policy and Law 48
- Molecular Biology 154
Countries citing papers authored by Taylor M. Weiskittel
This map shows the geographic impact of Taylor M. Weiskittel'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 Taylor M. Weiskittel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor M. Weiskittel more than expected).
Fields of papers citing papers by Taylor M. Weiskittel
This network shows the impact of papers produced by Taylor M. Weiskittel. 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 Taylor M. Weiskittel. The network helps show where Taylor M. Weiskittel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taylor M. Weiskittel, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 5 | |
| 18 | 2020 | 34 | |
| 19 | 2017 | 13 | |
| 20 | 2014 | 31 |
About Taylor M. Weiskittel
Taylor M. Weiskittel is a scholar working on Biochemistry, Oncology and Cancer Research, having authored 30 papers that have together received 452 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers), Computational Drug Discovery Methods (4 papers), Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers), Analytical Chemistry and Chromatography (3 papers), Lipid metabolism and biosynthesis (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Biochemistry (52 citations), Spectroscopy (81 citations) and Civil and Structural Engineering (95 citations). Taylor M. Weiskittel has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Nickolay V. Lavrik, Andrew M. Druckrey, Khalid A. Alshibli, Riyadh I. Al‐Raoush, Paul Dalhaimer, Vilmos Kertész, Gary J. Van Berkel, Marissa Vavrek, Cristina Correia and Hu Li. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Analytical Chemistry.
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.