Tyler Funnell
Impact in
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- Cancer Genomics and Diagnostics
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- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
Papers in
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- Genomics and Chromatin Dynamics 2
- Single-cell and spatial transcriptomics 1
- Molecular Biology Techniques and Applications 1
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Sohrab P. Shah (3 shared papers)Ali Bashashati (2 shared papers)Samuel Aparício (2 shared papers)Melissa K. McConechy (1 shared paper)Gavin Ha (1 shared paper)Diljot Grewal (1 shared paper)Jüri Reimand (1 shared paper)Jiarui Ding (1 shared paper)
- Journals
- Cell Reports Methods (1 paper)PLoS Computational Biology (1 paper)Transplantation and Cellular Therapy (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Tyler Funnell
5 papers receiving 116 citations
Peers
Comparison fields: 5 of 38
- Cancer Research 66
- Molecular Biology 89
- Pathology and Forensic Medicine 17
- Genetics 23
- Health Informatics 1
Countries citing papers authored by Tyler Funnell
This map shows the geographic impact of Tyler Funnell'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 Tyler Funnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Funnell more than expected).
Fields of papers citing papers by Tyler Funnell
This network shows the impact of papers produced by Tyler Funnell. 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 Tyler Funnell. The network helps show where Tyler Funnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler Funnell, 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 | 2015 | 69 | |
| 2 | 2019 | 32 | |
| 3 | 2023 | 9 | |
| 4 | 2022 | 5 | |
| 5 | 2024 | 1 |
About Tyler Funnell
Tyler Funnell is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Hematology, having authored 5 papers that have together received 116 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Genomics and Chromatin Dynamics (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced Chemical Sensor Technologies (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Molecular Biology Techniques and Applications (1 paper), Multiple Sclerosis Research Studies (1 paper) and Neutropenia and Cancer Infections (1 paper). The work is most often cited by research in Cancer Research (66 citations), Molecular Biology (89 citations), Pathology and Forensic Medicine (17 citations), Genetics (23 citations) and Health Informatics (1 citation). Tyler Funnell has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Sohrab P. Shah, Ali Bashashati, Samuel Aparício, Melissa K. McConechy, Gavin Ha, Diljot Grewal, Jüri Reimand, Jiarui Ding, Fong Chun Chan and Allen W. Zhang. Their work appears in journals such as Cell Reports Methods, PLoS Computational Biology, Transplantation and Cellular Therapy, Nature Communications and SHILAP Revista de lepidopterología.
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.