P. H. A. Sneath
- Molecular Biology top 0.5%
- Plant Science top 0.2%
- Ecology top 0.5%
- Genetics top 0.5%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Co-authors
- Robert R. SokalJohn O. CorlissV. B. D. SkermanMichaela SharpeM. J. SackinCharles A. LongSuzanne T. WilliamsMichael Goodfellow
- Topics
- Genomics and Phylogenetic Studies (39 papers)Bacterial Identification and Susceptibility Testing (11 papers)Microbial Metabolism and Applications (10 papers)
- Partner nations
- United KingdomTanzaniaUnited States
In The Last Decade
P. H. A. Sneath
169 papers receiving 18.3k citations
Hit Papers
Peers
Comparison fields: 5 of 230
- Molecular Biology 7.6k
- Plant Science 5.5k
- Ecology 3.2k
- Genetics 2.3k
- Ecology, Evolution, Behavior and Systematics 2.0k
Countries citing papers authored by P. H. A. Sneath
This map shows the geographic impact of P. H. A. Sneath'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 P. H. A. Sneath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. H. A. Sneath more than expected).
Fields of papers citing papers by P. H. A. Sneath
This network shows the impact of papers produced by P. H. A. Sneath. 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 P. H. A. Sneath. The network helps show where P. H. A. Sneath may publish in the future.
Co-authorship network of co-authors of P. H. A. Sneath
This figure shows the co-authorship network connecting the top 25 collaborators of P. H. A. Sneath. A scholar is included among the top collaborators of P. H. A. Sneath 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 P. H. A. Sneath. P. H. A. Sneath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 12 | |
| 5 | 25 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 81 | |
| 11 | 54 | |
| 12 | 34 | |
| 13 | 6 | |
| 14 | Numerical Classification of Streptomyces and Related Generabreakdown → | 1134 |
| 15 | 64 | |
| 16 | Proceedings of the open meeting of the Working Group on Space Biology of the Fifteenth Plenary Meeting of COSPAR, Madrid, Spain, 10-24 May 1972 | 2 |
| 17 | 1 | |
| 18 | ALGOL program for cross-association of nonnumeric sequences using a medium-size computer | 11 |
| 19 | 140 | |
| 20 | 23 |
About P. H. A. Sneath
P. H. A. Sneath is a scholar working on Microbiology, Endocrinology and Clinical Biochemistry, having authored 176 papers that have together received 20.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (39 papers), Bacterial Identification and Susceptibility Testing (11 papers) and Microbial Metabolism and Applications (10 papers). The work is most often cited by research in Microbiology (516 citations), Endocrinology (1.0k citations) and Biotechnology (1.3k citations). P. H. A. Sneath has collaborated with scholars based in United Kingdom, Tanzania and United States. Frequent co-authors include Robert R. Sokal, John O. Corliss, V. B. D. Skerman, Michaela Sharpe, M. J. Sackin, Charles A. Long, Suzanne T. Williams, Michael Goodfellow, Grace Alderson and Elizabeth M. H. Wellington. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.