B.A. Appleton
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ 4
- Molecular Biology top 5%
- Melanoma and MAPK Pathways 8
- Protein Kinase Regulation and GTPase Signaling 7
- Glycosylation and Glycoproteins Research 3
- PI3K/AKT/mTOR signaling in cancer 3
- Immunology top 10%
- Virology top 10%
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- Herpesvirus Infections and Treatments 4
- Cytomegalovirus and herpesvirus research 4
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- Computational Drug Discovery Methods 3
- Co-authors
- Christian WiesmannSachdev S. SidhuJames M. HogleDonald M. CoenArianna LoregianYingnan ZhangPing WuJ. Fernando Bazán
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Biological Chemistry (4 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
B.A. Appleton
28 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 90
- Cell Biology 408
- Molecular Biology 1.5k
- Immunology 367
- Radiology, Nuclear Medicine and Imaging 397
- Virology 68
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 10 | |
| 2 | 2017 | 8 | |
| 3 | 2016 | 15 | |
| 4 | 2014 | 61 | |
| 5 | 2014 | 63 | |
| 6 | 2014 | 24 | |
| 7 | 2014 | 15 | |
| 8 | 2011 | 99 | |
| 9 | 2011 | 4 | |
| 10 | 2009 | 263 | |
| 11 | 2009 | 139 | |
| 12 | 2009 | 160 | |
| 13 | 2008 | 373 | |
| 14 | 2007 | 78 | |
| 15 | 2007 | 48 | |
| 16 | 2006 | 89 | |
| 17 | 2006 | 96 | |
| 18 | 2006 | 67 | |
| 19 | 2005 | 53 | |
| 20 | 2004 | 84 |
About B.A. Appleton
B.A. Appleton is a scholar working on Aging, Virology, Cell Biology, Molecular Biology and Biotechnology, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Herpesvirus Infections and Treatments (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Computational Drug Discovery Methods (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cell Biology (408 citations), Molecular Biology (1.5k citations), Immunology (367 citations), Radiology, Nuclear Medicine and Imaging (397 citations) and Virology (68 citations). B.A. Appleton has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Christian Wiesmann, Sachdev S. Sidhu, James M. Hogle, Donald M. Coen, Arianna Loregian, Yingnan Zhang, Ping Wu, Ping Wu, Yingnan Zhang and J. Fernando Bazán. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Journal of Medicinal Chemistry, Cancer Research 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.