Tim Massingham
Impact in
- Paleontology top 10%
- Evolution and Paleontology Studies
-
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- RNA modifications and cancer
Papers in
-
- Genomics and Phylogenetic Studies 12
- RNA and protein synthesis mechanisms 7
- Bioinformatics and Genomic Networks 2
- Genetics 12
- Genetic diversity and population structure 8
- Animal Genetics and Reproduction 2
- Co-authors
- Nick Goldman (12 shared papers)Benny Chor (1 shared paper)D. Horn (1 shared paper)Yaron Y. Levy (1 shared paper)Seraina Klopfstein (1 shared paper)Laura Davies (1 shared paper)Botond Sipos (2 shared papers)Píetro Lió (1 shared paper)
- Journals
- Genome biology (4 papers)Systematic Biology (4 papers)BMC Bioinformatics (2 papers)Bioinformatics (2 papers)Molecular Biology and Evolution (1 paper)
- Partner nations
- United KingdomSpainSwitzerland
In The Last Decade
Tim Massingham
18 papers receiving 636 citations
Peers
Comparison fields: 5 of 87
- Paleontology 77
- Molecular Biology 518
- Genetics 210
- Ecology, Evolution, Behavior and Systematics 53
- Plant Science 78
Countries citing papers authored by Tim Massingham
This map shows the geographic impact of Tim Massingham'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 Tim Massingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Massingham more than expected).
Fields of papers citing papers by Tim Massingham
This network shows the impact of papers produced by Tim Massingham. 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 Tim Massingham. The network helps show where Tim Massingham may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Massingham, 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 | 2005 | 161 | |
| 2 | 2009 | 153 | |
| 3 | 2017 | 44 | |
| 4 | 2007 | 42 | |
| 5 | 2011 | 41 | |
| 6 | 2001 | 36 | |
| 7 | 2005 | 34 | |
| 8 | 2012 | 27 | |
| 9 | 2009 | 26 | |
| 10 | 2006 | 18 | |
| 11 | 2000 | 16 | |
| 12 | 2007 | 16 | |
| 13 | 2012 | 13 | |
| 14 | 2007 | 9 | |
| 15 | 2012 | 8 | |
| 16 | 2012 | 6 | |
| 17 | 2012 | 5 | |
| 18 | 2008 | 2 |
About Tim Massingham
Tim Massingham is a scholar working on Molecular Biology, Genetics, Paleontology, Plant Science and Signal Processing, having authored 18 papers that have together received 657 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Genetic diversity and population structure (8 papers), RNA and protein synthesis mechanisms (7 papers), Evolution and Paleontology Studies (4 papers), Bioinformatics and Genomic Networks (2 papers), Chromosomal and Genetic Variations (2 papers), Music and Audio Processing (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Paleontology (77 citations), Molecular Biology (518 citations), Genetics (210 citations), Ecology, Evolution, Behavior and Systematics (53 citations) and Plant Science (78 citations). Tim Massingham has collaborated with scholars based in United Kingdom, Spain and Switzerland. Frequent co-authors include Nick Goldman, Benny Chor, D. Horn, Yaron Y. Levy, Seraina Klopfstein, Laura Davies, Botond Sipos, Píetro Lió, Gregory E. Jordan and Shiri Freilich. Their work appears in journals such as Genome biology, Systematic Biology, BMC Bioinformatics, Bioinformatics and Molecular Biology and Evolution.
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.