Alex G. Waterson
- Molecular Biology top 5%
- Organic Chemistry top 5%
- Oncology top 5%
- Computational Theory and Mathematics top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Albert PadwaOlivia W. RossaneseStephen W. FesikJason PhanMichael C. BurnsEdward T. OlejniczakQi SunJason P. Burke
- Topics
- Protein Kinase Regulation and GTPase Signaling (10 papers)DNA Repair Mechanisms (8 papers)PI3K/AKT/mTOR signaling in cancer (5 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionPLoS ONE
- Partner nations
- United StatesAustriaAustralia
In The Last Decade
Alex G. Waterson
53 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.6k
- Organic Chemistry 651
- Oncology 494
- Computational Theory and Mathematics 201
- Cellular and Molecular Neuroscience 170
Countries citing papers authored by Alex G. Waterson
This map shows the geographic impact of Alex G. Waterson'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 Alex G. Waterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex G. Waterson more than expected).
Fields of papers citing papers by Alex G. Waterson
This network shows the impact of papers produced by Alex G. Waterson. 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 Alex G. Waterson. The network helps show where Alex G. Waterson may publish in the future.
Co-authorship network of co-authors of Alex G. Waterson
This figure shows the co-authorship network connecting the top 25 collaborators of Alex G. Waterson. A scholar is included among the top collaborators of Alex G. Waterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alex G. Waterson. Alex G. Waterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 31 | |
| 4 | 18 | |
| 5 | 10 | |
| 6 | 37 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 55 | |
| 11 | 380 | |
| 12 | 68 | |
| 13 | 22 | |
| 14 | 33 | |
| 15 | 397 | |
| 16 | 33 | |
| 17 | 29 | |
| 18 | 19 | |
| 19 | 39 | |
| 20 | 53 |
About Alex G. Waterson
Alex G. Waterson is a scholar working on Toxicology, Organic Chemistry and Molecular Biology, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), DNA Repair Mechanisms (8 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Organic Chemistry (651 citations) and Oncology (494 citations). Alex G. Waterson has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Albert Padwa, Olivia W. Rossanese, Stephen W. Fesik, Jason Phan, Michael C. Burns, Edward T. Olejniczak, Qi Sun, Jason P. Burke, Martin Dimitroff and Tianhua Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and PLoS ONE.
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.