Michael J. Wise
Impact in
- Aging top 5%
- Plant Science top 2%
- Plant Stress Responses and Tolerance
- Seed Germination and Physiology
- Plant Molecular Biology Research
Papers in
-
- Genomics and Phylogenetic Studies 16
- RNA and protein synthesis mechanisms 11
- Machine Learning in Bioinformatics 8
-
- Logic, programming, and type systems 8
- Algorithms and Data Compression 7
- Co-authors
- Alan Tunnacliffe (5 shared papers)Liang Wang (11 shared papers)John M. Kenney (1 shared paper)Fritz Vollrath (1 shared paper)David P. Knight (1 shared paper)Amitava Datta (6 shared papers)Sohini Chakrabortee (2 shared papers)Lars S. Jermiin (1 shared paper)
- Journals
- Bioinformatics (5 papers)Frontiers in Microbiology (5 papers)PLoS ONE (3 papers)Die Naturwissenschaften (2 papers)Software Practice and Experience (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Michael J. Wise
104 papers receiving 3.1k citations
Michael J. Wise's Hit Papers
Peers
Comparison fields: 5 of 158
- Aging 45
- Plant Science 947
- Software 104
- Safety Research 199
- Molecular Biology 1.2k
Countries citing papers authored by Michael J. Wise
This map shows the geographic impact of Michael J. Wise'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 Michael J. Wise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Wise more than expected).
Fields of papers citing papers by Michael J. Wise
This network shows the impact of papers produced by Michael J. Wise. 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 Michael J. Wise. The network helps show where Michael J. Wise may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Wise, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The continuing conundrum of the LEA proteins Hit paper breakdown → | 2007 | 606 |
| 2 | 2003 | 355 | |
| 3 | 1996 | 244 | |
| 4 | 2003 | 212 | |
| 5 | 2002 | 189 | |
| 6 | 2011 | 166 | |
| 7 | 2011 | 102 | |
| 8 | 2007 | 91 | |
| 9 | 2011 | 82 | |
| 10 | 1992 | 74 | |
| 11 | 1996 | 61 | |
| 12 | 1996 | 50 | |
| 13 | 2022 | 43 | |
| 14 | 2018 | 42 | |
| 15 | 2019 | 41 | |
| 16 | 2009 | 41 | |
| 17 | 2010 | 38 | |
| 18 | 2019 | 37 | |
| 19 | 2010 | 36 | |
| 20 | Implementations of distributed Prolog | 1992 | 34 |
About Michael J. Wise
Michael J. Wise is a scholar working on Molecular Biology, Artificial Intelligence, Surgery, Computer Networks and Communications and Political Science and International Relations, having authored 116 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (11 papers), Helicobacter pylori-related gastroenterology studies (9 papers), Logic, programming, and type systems (8 papers), Machine Learning in Bioinformatics (8 papers), Algorithms and Data Compression (7 papers), Parallel Computing and Optimization Techniques (7 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Aging (45 citations), Plant Science (947 citations), Software (104 citations), Safety Research (199 citations) and Molecular Biology (1.2k citations). Michael J. Wise has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Alan Tunnacliffe, Liang Wang, John M. Kenney, Fritz Vollrath, David P. Knight, Amitava Datta, Sohini Chakrabortee, Lars S. Jermiin, Simon Easteal and Tanya Golubchik. Their work appears in journals such as Bioinformatics, Frontiers in Microbiology, PLoS ONE, Die Naturwissenschaften and Software Practice and Experience.
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.