David J. Barlow
Impact in
- Microbiology top 0.5%
- Reproductive tract infections research
- Pharmaceutical Science top 0.5%
Papers in
- Microbiology 26
- Reproductive tract infections research 21
- Co-authors
- Janet M. ThorntonMark S. EdwardsM. Jayne LawrenceStephen KennedyHelen J. MardonRuth M. HadfieldPeter J. HylandsThomas M. Ehrman
- Journals
- Langmuir (16 papers)International Journal of Pharmacy Practice (11 papers)The Astronomical Journal (8 papers)Journal of Colloid and Interface Science (7 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (6 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
David J. Barlow
221 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Microbiology 650
- Pharmaceutical Science 450
- Hematology 750
- Reproductive Medicine 531
- Geriatrics and Gerontology 218
Countries citing papers authored by David J. Barlow
This map shows the geographic impact of David J. Barlow'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 David J. Barlow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Barlow more than expected).
Fields of papers citing papers by David J. Barlow
This network shows the impact of papers produced by David J. Barlow. 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 David J. Barlow. The network helps show where David J. Barlow may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Barlow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 16 | |
| 2 | 2018 | 63 | |
| 3 | 2017 | 3 | |
| 4 | 2016 | 12 | |
| 5 | Application of Machine Learning in Knowledge Discovery for Pharmaceutical Drug-drug Interactions | 2016 | 5 |
| 6 | 2016 | 73 | |
| 7 | 2015 | 21 | |
| 8 | 2009 | 2 | |
| 9 | 2004 | 16 | |
| 10 | 2002 | 21 | |
| 11 | 1999 | 42 | |
| 12 | 1998 | 55 | |
| 13 | 1996 | 1 | |
| 14 | 1991 | 2 | |
| 15 | Skills support in the ICL (kidsgrove) bonding shop—a case study in the application of the KADS methodology | 1990 | 0 |
| 16 | On the circularity of the orbits of the triple system V389 Cygni | 1989 | 1 |
| 17 | 1988 | 7 | |
| 18 | 1988 | 52 | |
| 19 | 1986 | 9 | |
| 20 | Coude radial velocities of zeta Herculis. | 1983 | 1 |
About David J. Barlow
David J. Barlow is a scholar working on Microbiology, Geriatrics and Gerontology, Pharmaceutical Science, Medical Laboratory Technology and Organic Chemistry, having authored 225 papers that have together received 8.3k indexed citations. Recurring topics across this work include Surfactants and Colloidal Systems (41 papers), Lipid Membrane Structure and Behavior (40 papers), Reproductive tract infections research (21 papers), Protein Structure and Dynamics (17 papers), RNA Interference and Gene Delivery (14 papers), Analytical Chemistry and Chromatography (13 papers), Spectroscopy and Quantum Chemical Studies (12 papers) and Stellar, planetary, and galactic studies (12 papers). The work is most often cited by research in Microbiology (650 citations), Pharmaceutical Science (450 citations), Hematology (750 citations), Reproductive Medicine (531 citations) and Geriatrics and Gerontology (218 citations). David J. Barlow has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Janet M. Thornton, Mark S. Edwards, M. Jayne Lawrence, Stephen Kennedy, Helen J. Mardon, Ruth M. Hadfield, Peter J. Hylands, Thomas M. Ehrman, Andrew T. McKie and Ian Phillips. Their work appears in journals such as Langmuir, International Journal of Pharmacy Practice, The Astronomical Journal, Journal of Colloid and Interface Science and Biochimica et Biophysica Acta (BBA) - Biomembranes.
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.