Maxwell Sanderford
- Molecular Biology
- Genetics top 10%
- Plant Science top 10%
- Ecology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Sudhir KumarGlen StecherMichael SuleskiS. Blair HedgesJack M. CraigKoichiro TamuraSudip SharmaLi Liu
- Topics
- Genomics and Phylogenetic Studies (10 papers)Genetic Associations and Epidemiology (5 papers)Cancer Genomics and Diagnostics (5 papers)
- Cited by
- AgingGeneticsMolecular Biology
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United StatesSaudi ArabiaJapan
In The Last Decade
Maxwell Sanderford
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 540
- Genetics 281
- Plant Science 243
- Ecology 175
- Ecology, Evolution, Behavior and Systematics 143
Countries citing papers authored by Maxwell Sanderford
This map shows the geographic impact of Maxwell Sanderford'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 Maxwell Sanderford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxwell Sanderford more than expected).
Fields of papers citing papers by Maxwell Sanderford
This network shows the impact of papers produced by Maxwell Sanderford. 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 Maxwell Sanderford. The network helps show where Maxwell Sanderford may publish in the future.
Co-authorship network of co-authors of Maxwell Sanderford
This figure shows the co-authorship network connecting the top 25 collaborators of Maxwell Sanderford. A scholar is included among the top collaborators of Maxwell Sanderford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxwell Sanderford. Maxwell Sanderford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computingbreakdown → | 196 |
| 4 | 2 | |
| 5 | 1 | |
| 6 | TimeTree 5: An Expanded Resource for Species Divergence Timesbreakdown → | 656 |
| 7 | 4 | |
| 8 | 25 | |
| 9 | 6 | |
| 10 | 41 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 16 | |
| 14 | 23 | |
| 15 | 31 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 32 | |
| 20 | 16 |
About Maxwell Sanderford
Maxwell Sanderford is a scholar working on Genetics, Cancer Research and Ecological Modeling, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Genetic Associations and Epidemiology (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Aging (20 citations), Genetics (281 citations) and Molecular Biology (540 citations). Maxwell Sanderford has collaborated with scholars based in United States, Saudi Arabia and Japan. Frequent co-authors include Sudhir Kumar, Glen Stecher, Michael Suleski, S. Blair Hedges, Jack M. Craig, Koichiro Tamura, Sudip Sharma, Li Liu, Sayaka Miura and Greg Gibson. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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.