Matthew Haynes
- Ecology top 0.2%
- Molecular Biology top 2%
- Infectious Diseases top 2%
- Plant Science top 2%
- Epidemiology top 5%
- Co-authors
- Forest RohwerFlorent AnglyMya BreitbartRobert A. EdwardsLinda WegleyNicole HansonAndrew C. HeathJeffrey I. Gordon
- Topics
- Bacteriophages and microbial interactions (14 papers)Microbial Community Ecology and Physiology (14 papers)Genomics and Phylogenetic Studies (11 papers)
- Cited by
- EcologyEndocrinologyMicrobiology
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Matthew Haynes
41 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Ecology 3.4k
- Molecular Biology 2.6k
- Infectious Diseases 905
- Plant Science 865
- Epidemiology 794
Countries citing papers authored by Matthew Haynes
This map shows the geographic impact of Matthew Haynes'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 Matthew Haynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Haynes more than expected).
Fields of papers citing papers by Matthew Haynes
This network shows the impact of papers produced by Matthew Haynes. 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 Matthew Haynes. The network helps show where Matthew Haynes may publish in the future.
Co-authorship network of co-authors of Matthew Haynes
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Haynes. A scholar is included among the top collaborators of Matthew Haynes 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 Matthew Haynes. Matthew Haynes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 21 | |
| 7 | 8 | |
| 8 | 78 | |
| 9 | 42 | |
| 10 | 79 | |
| 11 | Viruses in the faecal microbiota of monozygotic twins and their mothersbreakdown → | 855 |
| 12 | 152 | |
| 13 | Laboratory procedures to generate viral metagenomesbreakdown → | 449 |
| 14 | 121 | |
| 15 | 321 | |
| 16 | 47 | |
| 17 | The Marine Viromes of Four Oceanic Regionsbreakdown → | 709 |
| 18 | 336 | |
| 19 | 64 | |
| 20 | 4 |
About Matthew Haynes
Matthew Haynes is a scholar working on Ecology, Microbiology and Endocrinology, having authored 41 papers that have together received 5.7k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (14 papers), Microbial Community Ecology and Physiology (14 papers) and Genomics and Phylogenetic Studies (11 papers). The work is most often cited by research in Ecology (3.4k citations), Endocrinology (366 citations) and Microbiology (306 citations). Matthew Haynes has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Forest Rohwer, Florent Angly, Mya Breitbart, Robert A. Edwards, Linda Wegley, Nicole Hanson, Andrew C. Heath, Jeffrey I. Gordon, Alejandro Reyes and Rebecca Vega Thurber. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.