Stephen Lowes
Impact in
- Immunology top 5%
- Biosimilars and Bioanalytical Methods
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
- Immunology 34
- Biosimilars and Bioanalytical Methods 34
- Physiology 23
- Clinical Laboratory Practices and Quality Control 23
- Co-authors
- Fabio Garofolo (5 shared papers)Philip Timmerman (5 shared papers)Douglas M. Fast (3 shared papers)Brian P. Booth (4 shared papers)Daniel R. Doerge (2 shared papers)Steve Bajic (2 shared papers)Bradley L. Ackermann (1 shared paper)Mark E. Arnold (3 shared papers)
- Journals
- Bioanalysis (30 papers)The AAPS Journal (3 papers)Rapid Communications in Mass Spectrometry (2 papers)AAPS PharmSciTech (2 papers)AAPS advances in the pharmaceutical sciences series (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Stephen Lowes
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Immunology 1.0k
- Biophysics 104
- Statistics and Probability 120
- Physiology 331
- Molecular Biology 588
Countries citing papers authored by Stephen Lowes
This map shows the geographic impact of Stephen Lowes'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 Stephen Lowes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Lowes more than expected).
Fields of papers citing papers by Stephen Lowes
This network shows the impact of papers produced by Stephen Lowes. 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 Stephen Lowes. The network helps show where Stephen Lowes may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Lowes, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 113 | |
| 2 | 2014 | 101 | |
| 3 | 2012 | 94 | |
| 4 | 2009 | 89 | |
| 5 | 2009 | 84 | |
| 6 | 2011 | 82 | |
| 7 | 2011 | 73 | |
| 8 | 2013 | 71 | |
| 9 | 2014 | 61 | |
| 10 | 2012 | 53 | |
| 11 | 2014 | 47 | |
| 12 | 2014 | 44 | |
| 13 | 2012 | 39 | |
| 14 | 2010 | 38 | |
| 15 | 2010 | 38 | |
| 16 | 2016 | 35 | |
| 17 | 2004 | 32 | |
| 18 | 2010 | 30 | |
| 19 | 2012 | 29 | |
| 20 | 1993 | 28 |
About Stephen Lowes
Stephen Lowes is a scholar working on Immunology, Physiology, Statistics and Probability, Biophysics and Molecular Biology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (34 papers), Clinical Laboratory Practices and Quality Control (23 papers), Advanced Biosensing Techniques and Applications (11 papers), Statistical Methods in Clinical Trials (8 papers), Biosensors and Analytical Detection (7 papers), Protein purification and stability (4 papers), Cell Image Analysis Techniques (4 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Immunology (1.0k citations), Biophysics (104 citations), Statistics and Probability (120 citations), Physiology (331 citations) and Molecular Biology (588 citations). Stephen Lowes has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Fabio Garofolo, Philip Timmerman, Douglas M. Fast, Brian P. Booth, Daniel R. Doerge, Steve Bajic, Bradley L. Ackermann, Mark E. Arnold, Eric Woolf and Mario L. Rocci. Their work appears in journals such as Bioanalysis, The AAPS Journal, Rapid Communications in Mass Spectrometry, AAPS PharmSciTech and AAPS advances in the pharmaceutical sciences series.
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.