Andrew Pannifer
Impact in
- Molecular Biology top 10%
- Bacillus and Francisella bacterial research
- Chemical Synthesis and Analysis
- Protein Tyrosine Phosphatases
- Toxicology top 5%
Papers in
-
- Chemical Synthesis and Analysis 3
- Biochemical and Molecular Research 3
- Protein Tyrosine Phosphatases 2
- Melanoma and MAPK Pathways 2
- Oncology 6
- Cancer Treatment and Pharmacology 3
- Co-authors
- David Barford (1 shared paper)Andrew Flint (1 shared paper)Nicholas K. Tonks (1 shared paper)Stephen H. Leppla (1 shared paper)Philip C. Hanna (1 shared paper)D. Borden Lacy (1 shared paper)Sukjoon Park (1 shared paper)Tien Yin Wong (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Drug Discovery Today (3 papers)Journal of the American Chemical Society (2 papers)Cell Communication and Signaling (2 papers)SLAS DISCOVERY (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Andrew Pannifer
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 960
- Toxicology 35
- Organic Chemistry 289
- Cell Biology 160
- Computational Theory and Mathematics 135
Countries citing papers authored by Andrew Pannifer
This map shows the geographic impact of Andrew Pannifer'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 Andrew Pannifer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Pannifer more than expected).
Fields of papers citing papers by Andrew Pannifer
This network shows the impact of papers produced by Andrew Pannifer. 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 Andrew Pannifer. The network helps show where Andrew Pannifer may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Pannifer, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 298 | |
| 2 | 2011 | 208 | |
| 3 | 1998 | 194 | |
| 4 | 2005 | 101 | |
| 5 | 2004 | 64 | |
| 6 | 2005 | 60 | |
| 7 | 2014 | 53 | |
| 8 | 2013 | 48 | |
| 9 | 2014 | 41 | |
| 10 | 2019 | 30 | |
| 11 | 2011 | 29 | |
| 12 | 2012 | 26 | |
| 13 | 2013 | 24 | |
| 14 | 2012 | 23 | |
| 15 | 2015 | 19 | |
| 16 | 2015 | 18 | |
| 17 | 2017 | 16 | |
| 18 | 2019 | 14 | |
| 19 | 1994 | 8 | |
| 20 | 2024 | 2 |
About Andrew Pannifer
Andrew Pannifer is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Cell Biology and Organic Chemistry, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Cancer Treatment and Pharmacology (3 papers), Chemical Synthesis and Analysis (3 papers), Microtubule and mitosis dynamics (3 papers), Biochemical and Molecular Research (3 papers), Protein Tyrosine Phosphatases (2 papers), Melanoma and MAPK Pathways (2 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (960 citations), Toxicology (35 citations), Organic Chemistry (289 citations), Cell Biology (160 citations) and Computational Theory and Mathematics (135 citations). Andrew Pannifer has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David Barford, Andrew Flint, Nicholas K. Tonks, Stephen H. Leppla, Philip C. Hanna, D. Borden Lacy, Sukjoon Park, Tien Yin Wong, Jadwiga Biénkowska and Carlo Petosa. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Drug Discovery Today, Journal of the American Chemical Society, Cell Communication and Signaling and SLAS DISCOVERY.
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.