B.A. Appleton
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Protein Kinase Regulation and GTPase Signaling
- Chemical Synthesis and Analysis
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Computational Drug Discovery Methods 7
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- Protein Kinase Regulation and GTPase Signaling 6
- Protein Structure and Dynamics 6
- Melanoma and MAPK Pathways 4
- Heat shock proteins research 2
- Co-authors
- Christian Wiesmann (12 shared papers)Sachdev S. Sidhu (8 shared papers)James M. Hogle (4 shared papers)Arianna Loregian (4 shared papers)Donald M. Coen (4 shared papers)Yingnan Zhang (3 shared papers)Ping Wu (2 shared papers)Ping Wu (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (7 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Biological Chemistry (4 papers)Protein Science (2 papers)Structure (2 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
B.A. Appleton
31 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.1k
- Radiology, Nuclear Medicine and Imaging 342
- Immunology 213
- Epidemiology 340
- Cell Biology 114
Countries citing papers authored by B.A. Appleton
This map shows the geographic impact of B.A. Appleton'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 B.A. Appleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.A. Appleton more than expected).
Fields of papers citing papers by B.A. Appleton
This network shows the impact of papers produced by B.A. Appleton. 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 B.A. Appleton. The network helps show where B.A. Appleton may publish in the future.
Co-authors
The 25 scholars most cited alongside B.A. Appleton, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 390 | |
| 2 | 2009 | 298 | |
| 3 | 2007 | 178 | |
| 4 | 2009 | 174 | |
| 5 | 2007 | 154 | |
| 6 | 2009 | 142 | |
| 7 | 2011 | 113 | |
| 8 | 2006 | 103 | |
| 9 | 2021 | 99 | |
| 10 | 2006 | 93 | |
| 11 | 2004 | 91 | |
| 12 | 2007 | 83 | |
| 13 | 2003 | 72 | |
| 14 | 2006 | 70 | |
| 15 | 2014 | 63 | |
| 16 | 2014 | 62 | |
| 17 | 2005 | 57 | |
| 18 | 2015 | 57 | |
| 19 | 2004 | 56 | |
| 20 | 2007 | 52 |
About B.A. Appleton
B.A. Appleton is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Protein Structure and Dynamics (6 papers), Synthesis and biological activity (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Melanoma and MAPK Pathways (4 papers), Heat shock proteins research (2 papers) and Synthesis and Characterization of Heterocyclic Compounds (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Radiology, Nuclear Medicine and Imaging (342 citations), Immunology (213 citations), Epidemiology (340 citations) and Cell Biology (114 citations). B.A. Appleton has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Christian Wiesmann, Sachdev S. Sidhu, James M. Hogle, Arianna Loregian, Donald M. Coen, Yingnan Zhang, Ping Wu, Ping Wu, Yingnan Zhang and J. Fernando Bazán. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Protein Science and Structure.
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.