Matt Pearce
Impact in
- Endocrinology top 10%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Photosynthetic Processes and Mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- Nandana Madhusoodanan (1 shared paper)Joon Lee (1 shared paper)Adrian R. Tivey (1 shared paper)Fábio Madeira (1 shared paper)Rodrigo López (1 shared paper)Xavier Tonnellier (1 shared paper)Heather Almond (1 shared paper)Antoni R. Slabas (1 shared paper)
- Journals
- Teaching and Learning in Medicine (1 paper)Nucleic Acids Research (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- United KingdomNetherlandsTaiwan
In The Last Decade
Matt Pearce
9 papers receiving 1.6k citations
Matt Pearce's Hit Papers
Peers
Comparison fields: 5 of 128
- Endocrinology 66
- Molecular Biology 872
- Molecular Medicine 45
- Biotechnology 73
- Aging 14
Countries citing papers authored by Matt Pearce
This map shows the geographic impact of Matt Pearce'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 Matt Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Pearce more than expected).
Fields of papers citing papers by Matt Pearce
This network shows the impact of papers produced by Matt Pearce. 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 Matt Pearce. The network helps show where Matt Pearce may publish in the future.
Co-authors
The 15 scholars most cited alongside Matt Pearce, 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 | Search and sequence analysis tools services from EMBL-EBI in 2022 Hit paper breakdown → | 2022 | 1544 |
| 2 | 2019 | 6 | |
| 3 | Seals, tombs, mummies, and tunnelling in the drywood termite Cryptotermes (Isoptera: Kalotermitidae) | 1987 | 6 |
| 4 | COVID-19 vaccination | 2020 | 4 |
| 5 | 2024 | 3 | |
| 6 | Climate emergency declaration | 2019 | 2 |
| 7 | Gender pay gap report | 2018 | 2 |
| 8 | 1997 | 1 | |
| 9 | Information Governance Framework | 2018 | 1 |
About Matt Pearce
Matt Pearce is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Information Systems and Management, Public Health, Environmental and Occupational Health and Genetics, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (1 paper), Genomics and Phylogenetic Studies (1 paper), Ubiquitin and proteasome pathways (1 paper), Coal Combustion and Slurry Processing (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Scientific Computing and Data Management (1 paper), Enzyme Production and Characterization (1 paper) and Diversity and Career in Medicine (1 paper). The work is most often cited by research in Endocrinology (66 citations), Molecular Biology (872 citations), Molecular Medicine (45 citations), Biotechnology (73 citations) and Aging (14 citations). Matt Pearce has collaborated with scholars based in United Kingdom, Netherlands and Taiwan. Frequent co-authors include Nandana Madhusoodanan, Joon Lee, Adrian R. Tivey, Fábio Madeira, Rodrigo López, Xavier Tonnellier, Heather Almond, Antoni R. Slabas, Christopher Sansom and Albert Shanker. Their work appears in journals such as Teaching and Learning in Medicine, Nucleic Acids Research and AIP conference proceedings.
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.