Paul F. Long
- Molecular Biology top 10%
- Pharmacology top 0.5%
- Biotechnology top 1%
- Ecology, Evolution, Behavior and Systematics top 5%
- Ecology top 5%
- Co-authors
- Walter C. DunlapDaslav HranueliJohn CullumAntonio StarčevićRanko GaćešaJurica ŽučkoKarl LawrenceAntony R. Young
- Topics
- Microbial Natural Products and Biosynthesis (30 papers)Genomics and Phylogenetic Studies (19 papers)Marine Invertebrate Physiology and Ecology (13 papers)
- Partner nations
- United KingdomBrazilCroatia
In The Last Decade
Paul F. Long
116 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 151
- Molecular Biology 1.2k
- Pharmacology 1.0k
- Biotechnology 512
- Ecology, Evolution, Behavior and Systematics 339
- Ecology 330
Countries citing papers authored by Paul F. Long
This map shows the geographic impact of Paul F. Long'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 Paul F. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul F. Long more than expected).
Fields of papers citing papers by Paul F. Long
This network shows the impact of papers produced by Paul F. Long. 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 Paul F. Long. The network helps show where Paul F. Long may publish in the future.
Co-authorship network of co-authors of Paul F. Long
This figure shows the co-authorship network connecting the top 25 collaborators of Paul F. Long. A scholar is included among the top collaborators of Paul F. Long 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 Paul F. Long. Paul F. Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 50 | |
| 12 | 3 | |
| 13 | 28 | |
| 14 | Genome Sequence of Streptomyces caatingaensis CMAA 1322, a New Abiotic Stress-Tolerant Actinomycete Isolated from Dried Lake Bed Sediment in the Brazilian Caatinga Biome | 0 |
| 15 | Synthetic Biology: A Novel Approach for the Construction of Industrial Microorganisms | 3 |
| 16 | 15 | |
| 17 | From DNA Sequences to Chemical Structures – Methods for Mining Microbial Genomic and Metagenomic Data Sets for New Natural Products | 6 |
| 18 | 27 | |
| 19 | Exploring Protein Interactions on a Minimal Type II Polyketide Synthase Using a Yeast Two-Hybrid System | 3 |
| 20 | 5 |
About Paul F. Long
Paul F. Long is a scholar working on Applied Microbiology and Biotechnology, Biotechnology and Paleontology, having authored 123 papers that have together received 2.9k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (30 papers), Genomics and Phylogenetic Studies (19 papers) and Marine Invertebrate Physiology and Ecology (13 papers). The work is most often cited by research in Pharmacology (1.0k citations), Biotechnology (512 citations) and Applied Microbiology and Biotechnology (98 citations). Paul F. Long has collaborated with scholars based in United Kingdom, Brazil and Croatia. Frequent co-authors include Walter C. Dunlap, Daslav Hranueli, John Cullum, Antonio Starčević, Ranko Gaćeša, Jurica Žučko, Karl Lawrence, Antony R. Young, Mike Sharland and Marcel Jaspars. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.