Peter Strong
Impact in
- Pollution top 0.5%
- Pharmaceutical and Antibiotic Environmental Impacts
- Soil Science top 2%
- Composting and Vermicomposting Techniques
Papers in
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- Receptor Mechanisms and Signaling 7
-
- Enzyme-mediated dye degradation 8
- Co-authors
- Hailong Wang (18 shared papers)William P. Clarke (3 shared papers)Uday Kishore (12 shared papers)Sihuang Xie (3 shared papers)H. Claus (1 shared paper)Kenneth B. M. Reid (12 shared papers)Howard Clark (5 shared papers)J.E. Burgess (4 shared papers)
- Journals
- Bioresource Technology (6 papers)British Journal of Pharmacology (6 papers)Biochemical Pharmacology (4 papers)Clinical & Experimental Immunology (4 papers)Environmental Science & Technology (4 papers)
- Partner nations
- United KingdomAustraliaChina
In The Last Decade
Peter Strong
118 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 162
- Pollution 990
- Soil Science 586
- Industrial and Manufacturing Engineering 462
- Physiology 212
- Geochemistry and Petrology 266
Countries citing papers authored by Peter Strong
This map shows the geographic impact of Peter Strong'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 Peter Strong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Strong more than expected).
Fields of papers citing papers by Peter Strong
This network shows the impact of papers produced by Peter Strong. 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 Peter Strong. The network helps show where Peter Strong may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Strong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 364 | |
| 2 | 2013 | 306 | |
| 3 | 2011 | 274 | |
| 4 | 1997 | 221 | |
| 5 | 2002 | 184 | |
| 6 | 2016 | 172 | |
| 7 | 2014 | 170 | |
| 8 | 2001 | 164 | |
| 9 | 2000 | 158 | |
| 10 | 2014 | 151 | |
| 11 | 2002 | 135 | |
| 12 | 2012 | 131 | |
| 13 | 1997 | 125 | |
| 14 | 2000 | 124 | |
| 15 | 1993 | 123 | |
| 16 | 1996 | 118 | |
| 17 | 1993 | 116 | |
| 18 | 2015 | 104 | |
| 19 | 2015 | 103 | |
| 20 | 2017 | 95 |
About Peter Strong
Peter Strong is a scholar working on Molecular Biology, Plant Science, Physiology, Pulmonary and Respiratory Medicine and Immunology, having authored 118 papers that have together received 6.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (11 papers), Neonatal Respiratory Health Research (10 papers), Inhalation and Respiratory Drug Delivery (9 papers), Asthma and respiratory diseases (9 papers), Immune Response and Inflammation (8 papers), Enzyme-mediated dye degradation (8 papers), Receptor Mechanisms and Signaling (7 papers) and Microbial Metabolism and Applications (7 papers). The work is most often cited by research in Pollution (990 citations), Soil Science (586 citations), Industrial and Manufacturing Engineering (462 citations), Physiology (212 citations) and Geochemistry and Petrology (266 citations). Peter Strong has collaborated with scholars based in United Kingdom, Australia and China. Frequent co-authors include Hailong Wang, William P. Clarke, Uday Kishore, Sihuang Xie, H. Claus, Kenneth B. M. Reid, Howard Clark, J.E. Burgess, Weixiang Wu and Da Dong. Their work appears in journals such as Bioresource Technology, British Journal of Pharmacology, Biochemical Pharmacology, Clinical & Experimental Immunology and Environmental Science & Technology.
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.