Kay Perry
Impact in
- Neurology top 2%
- Botulinum Toxin and Related Neurological Disorders
- Neurological disorders and treatments
-
- Hereditary Neurological Disorders
Papers in
-
- Biochemical and Molecular Research 6
- Cancer therapeutics and mechanisms 6
- Neurology 17
- Botulinum Toxin and Related Neurological Disorders 17
- Neurological disorders and treatments 6
- Co-authors
- Rongsheng Jin (24 shared papers)Andreas Rummel (14 shared papers)Shenyan Gu (4 shared papers)Kwok Ho Lam (16 shared papers)Gregory D. Van Duyne (7 shared papers)Yan Xu (3 shared papers)Liang Feng (3 shared papers)Kwangkook Lee (7 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Nature (3 papers)Science (3 papers)Structure (3 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Kay Perry
51 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Neurology 616
- Cellular and Molecular Neuroscience 471
- Molecular Biology 968
- Infectious Diseases 220
- Endocrinology 53
Countries citing papers authored by Kay Perry
This map shows the geographic impact of Kay Perry'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 Kay Perry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Perry more than expected).
Fields of papers citing papers by Kay Perry
This network shows the impact of papers produced by Kay Perry. 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 Kay Perry. The network helps show where Kay Perry may publish in the future.
Co-authors
The 25 scholars most cited alongside Kay Perry, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 178 | |
| 2 | 2015 | 161 | |
| 3 | 2014 | 141 | |
| 4 | 2012 | 133 | |
| 5 | 2018 | 109 | |
| 6 | 2014 | 105 | |
| 7 | 2018 | 105 | |
| 8 | 2013 | 101 | |
| 9 | 2016 | 90 | |
| 10 | 2019 | 72 | |
| 11 | 2013 | 67 | |
| 12 | 2018 | 62 | |
| 13 | 2012 | 61 | |
| 14 | 2013 | 54 | |
| 15 | 2016 | 54 | |
| 16 | 2006 | 43 | |
| 17 | 2003 | 39 | |
| 18 | 2020 | 30 | |
| 19 | 2002 | 26 | |
| 20 | 2018 | 23 |
About Kay Perry
Kay Perry is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Materials Chemistry and Oncology, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (17 papers), Hereditary Neurological Disorders (15 papers), Bacteriophages and microbial interactions (7 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Neurological disorders and treatments (6 papers), Enzyme Structure and Function (6 papers), Biochemical and Molecular Research (6 papers) and Cancer therapeutics and mechanisms (6 papers). The work is most often cited by research in Neurology (616 citations), Cellular and Molecular Neuroscience (471 citations), Molecular Biology (968 citations), Infectious Diseases (220 citations) and Endocrinology (53 citations). Kay Perry has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Rongsheng Jin, Andreas Rummel, Shenyan Gu, Kwok Ho Lam, Gregory D. Van Duyne, Yan Xu, Liang Feng, Kwangkook Lee, Guorui Yao and Jasmin Weisemann. Their work appears in journals such as Journal of Biological Chemistry, Nature, Science, Structure and PLoS Pathogens.
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.