Paul Knopp
Impact in
-
- Intensive Care Unit Cognitive Disorders
- Geriatrics and Gerontology top 5%
Papers in
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- Muscle Physiology and Disorders 10
- Pluripotent Stem Cells Research 3
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- Matrix Theory and Algorithms 6
- Co-authors
- Richard Sinkhorn (6 shared papers)Peter S. Zammit (8 shared papers)Luisa Boldrin (1 shared paper)Jennifer E. Morgan (1 shared paper)Yusuke Ono (1 shared paper)Benjamin C. Mcloughlin (3 shared papers)Daniel Davis (3 shared papers)Thomas E. Webb (3 shared papers)
- Journals
- Developmental Biology (3 papers)Journal of Cell Science (2 papers)Transactions of the American Mathematical Society (2 papers)Canadian Journal of Mathematics (1 paper)Journal of The Royal Society Interface (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Paul Knopp
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 134
- Critical Care and Intensive Care Medicine 63
- Geriatrics and Gerontology 43
- Computational Theory and Mathematics 180
- Aging 19
- Computational Mathematics 6
Countries citing papers authored by Paul Knopp
This map shows the geographic impact of Paul Knopp'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 Knopp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Knopp more than expected).
Fields of papers citing papers by Paul Knopp
This network shows the impact of papers produced by Paul Knopp. 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 Knopp. The network helps show where Paul Knopp may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Knopp, 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 | 1967 | 492 | |
| 2 | 2009 | 176 | |
| 3 | 2012 | 157 | |
| 4 | 2020 | 115 | |
| 5 | 2013 | 86 | |
| 6 | 2016 | 68 | |
| 7 | 2009 | 51 | |
| 8 | 2014 | 47 | |
| 9 | 1969 | 45 | |
| 10 | 2020 | 42 | |
| 11 | 2020 | 41 | |
| 12 | 2013 | 30 | |
| 13 | 2013 | 27 | |
| 14 | 1969 | 15 | |
| 15 | 1982 | 13 | |
| 16 | 2017 | 8 | |
| 17 | 1976 | 8 | |
| 18 | 1968 | 5 | |
| 19 | 2013 | 1 |
About Paul Knopp
Paul Knopp is a scholar working on Molecular Biology, Computational Theory and Mathematics, Surgery, Cardiology and Cardiovascular Medicine and Geometry and Topology, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Matrix Theory and Algorithms (6 papers), Pluripotent Stem Cells Research (3 papers), Advanced Topics in Algebra (2 papers), Graph theory and applications (2 papers), Mathematical Inequalities and Applications (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (63 citations), Geriatrics and Gerontology (43 citations), Computational Theory and Mathematics (180 citations), Aging (19 citations) and Computational Mathematics (6 citations). Paul Knopp has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Richard Sinkhorn, Peter S. Zammit, Luisa Boldrin, Jennifer E. Morgan, Yusuke Ono, Benjamin C. Mcloughlin, Daniel Davis, Thomas E. Webb, Amy Miles and Robert B. White. Their work appears in journals such as Developmental Biology, Journal of Cell Science, Transactions of the American Mathematical Society, Canadian Journal of Mathematics and Journal of The Royal Society Interface.
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.