Paul Skipp
Impact in
- Microbiology top 1%
- Reproductive tract infections research
- Bacterial Infections and Vaccines
Papers in
-
- Genomics and Phylogenetic Studies 4
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
- Neonatal Respiratory Health Research 4
- Co-authors
- C. David O’Connor (16 shared papers)Ian N. Clarke (4 shared papers)Ratko Djukanović (4 shared papers)Donna E. Davies (6 shared papers)Ben Nicholas (6 shared papers)John E. Heckels (3 shared papers)Jeannette N. Williams (2 shared papers)Myron Christodoulides (3 shared papers)
- Journals
- PLoS ONE (6 papers)Journal of Proteome Research (3 papers)Journal of Biological Chemistry (3 papers)Electrophoresis (3 papers)Toxicological Sciences (3 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Paul Skipp
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Microbiology 401
- Immunology 216
- Epidemiology 333
- Molecular Biology 588
- Physiology 204
Countries citing papers authored by Paul Skipp
This map shows the geographic impact of Paul Skipp'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 Skipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Skipp more than expected).
Fields of papers citing papers by Paul Skipp
This network shows the impact of papers produced by Paul Skipp. 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 Skipp. The network helps show where Paul Skipp may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Skipp, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 167 | |
| 2 | 2017 | 119 | |
| 3 | 2006 | 94 | |
| 4 | 2005 | 84 | |
| 5 | 2006 | 67 | |
| 6 | 2010 | 59 | |
| 7 | 2016 | 48 | |
| 8 | 2014 | 44 | |
| 9 | 2006 | 42 | |
| 10 | 2016 | 41 | |
| 11 | 2020 | 40 | |
| 12 | 2013 | 39 | |
| 13 | 2020 | 37 | |
| 14 | 2021 | 33 | |
| 15 | 2009 | 33 | |
| 16 | 2017 | 29 | |
| 17 | 2003 | 29 | |
| 18 | 2020 | 28 | |
| 19 | 2016 | 27 | |
| 20 | 2006 | 26 |
About Paul Skipp
Paul Skipp is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Microbiology and Oncology, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Pneumonia and Respiratory Infections (6 papers), Microbial Community Ecology and Physiology (6 papers), Immunotherapy and Immune Responses (5 papers), Genomics and Phylogenetic Studies (4 papers), Contact Dermatitis and Allergies (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Microbiology (401 citations), Immunology (216 citations), Epidemiology (333 citations), Molecular Biology (588 citations) and Physiology (204 citations). Paul Skipp has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include C. David O’Connor, Ian N. Clarke, Ratko Djukanović, Donna E. Davies, Ben Nicholas, John E. Heckels, Jeannette N. Williams, Myron Christodoulides, Yihua Wang and Stephen Rennard. Their work appears in journals such as PLoS ONE, Journal of Proteome Research, Journal of Biological Chemistry, Electrophoresis and Toxicological 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.