Mark D. Robinson
- Cancer Research top 0.05%
- Molecular Biology top 0.02%
- Single-cell and spatial transcriptomics 30
- RNA modifications and cancer 26
- Epigenetics and DNA Methylation 22
- RNA Research and Splicing 20
- Gene expression and cancer classification 19
- Molecular Biology Techniques and Applications 16
- Genomics and Phylogenetic Studies 15
- Genomics and Chromatin Dynamics 14
- Aging top 0.2%
- Immunology top 0.2%
- Genetics top 0.1%
- Co-authors
- Gordon K. SmythDavis J. McCarthyAlicia OshlackCharlotte SonesonTimothy R. HughesLukas M. WeberHelen LindsayMatthew D. Young
- Partner nations
- SwitzerlandUnited StatesAustralia
In The Last Decade
Mark D. Robinson
165 papers receiving 46.4k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Cancer Research 7.4k
- Molecular Biology 29.2k
- Aging 592
- Immunology 5.5k
- Genetics 5.5k
Countries citing papers authored by Mark D. Robinson
This map shows the geographic impact of Mark D. Robinson'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 Mark D. Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Robinson more than expected).
Fields of papers citing papers by Mark D. Robinson
This network shows the impact of papers produced by Mark D. Robinson. 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 Mark D. Robinson. The network helps show where Mark D. Robinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark D. Robinson, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 2 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 102 | |
| 12 | 2019 | 32 | |
| 13 | 2019 | 73 | |
| 14 | 2018 | 117 | |
| 15 | 2017 | 99 | |
| 16 | 2016 | 223 | |
| 17 | High-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cellsbreakdown → | 2005 | 553 |
| 18 | Systematic Genetic Analysis with Ordered Arrays of Yeast Deletion Mutantsbreakdown → | 2001 | 1620 |
| 19 | 2000 | 12 | |
| 20 | 1997 | 7 |
About Mark D. Robinson
Mark D. Robinson is a scholar working on Molecular Biology, Cancer Research and Aging, having authored 173 papers that have together received 46.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (30 papers), RNA modifications and cancer (26 papers), Epigenetics and DNA Methylation (22 papers), RNA Research and Splicing (20 papers), Gene expression and cancer classification (19 papers), Molecular Biology Techniques and Applications (16 papers), Genomics and Phylogenetic Studies (15 papers) and Genomics and Chromatin Dynamics (14 papers). The work is most often cited by research in Cancer Research (7.4k citations), Molecular Biology (29.2k citations) and Aging (592 citations). Mark D. Robinson has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Gordon K. Smyth, Davis J. McCarthy, Alicia Oshlack, Charlotte Soneson, Timothy R. Hughes, Lukas M. Weber, Helen Lindsay, Matthew D. Young, Charles Boone and Brenda Andrews. Their work appears in journals such as Genome biology, Nature Communications, Genome Research, BMC Genomics and Bioinformatics.
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.