Max V. Ranall
Impact in
- Plant Science top 10%
- Plant-Microbe Interactions and Immunity
- Plant Pathogenic Bacteria Studies
- Legume Nitrogen Fixing Symbiosis
- Plant Parasitism and Resistance
- Plant pathogens and resistance mechanisms
Papers in
-
- CRISPR and Genetic Engineering 3
- Melanoma and MAPK Pathways 2
- DNA Repair Mechanisms 2
- Advanced biosensing and bioanalysis techniques 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Gregory C Kettler (1 shared paper)Boris A. Vinatzer (1 shared paper)David S. Guttman (1 shared paper)Jean T. Greenberg (1 shared paper)Sara F. Sarkar (1 shared paper)Brian Gabrielli (8 shared papers)Thomas J. Gonda (7 shared papers)Paul Leo (3 shared papers)
- Journals
- BioTechniques (2 papers)PLoS ONE (2 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Max V. Ranall
13 papers receiving 675 citations
Peers
Comparison fields: 5 of 71
- Plant Science 272
- Endocrinology 28
- Otorhinolaryngology 21
- Oncology 131
- Molecular Biology 278
Countries citing papers authored by Max V. Ranall
This map shows the geographic impact of Max V. Ranall'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 Max V. Ranall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max V. Ranall more than expected).
Fields of papers citing papers by Max V. Ranall
This network shows the impact of papers produced by Max V. Ranall. 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 Max V. Ranall. The network helps show where Max V. Ranall may publish in the future.
Co-authors
The 25 scholars most cited alongside Max V. Ranall, 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 | 2002 | 316 | |
| 2 | 2012 | 72 | |
| 3 | 2015 | 52 | |
| 4 | 2016 | 44 | |
| 5 | 2011 | 41 | |
| 6 | 2015 | 35 | |
| 7 | 2018 | 31 | |
| 8 | 2011 | 25 | |
| 9 | 2012 | 22 | |
| 10 | 2012 | 21 | |
| 11 | 2010 | 11 | |
| 12 | 2014 | 10 | |
| 13 | 2016 | 8 |
About Max V. Ranall
Max V. Ranall is a scholar working on Molecular Biology, Oncology, Otorhinolaryngology, Cell Biology and Physiology, having authored 13 papers that have together received 688 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Melanoma and MAPK Pathways (2 papers), Virus-based gene therapy research (2 papers), Head and Neck Cancer Studies (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), DNA Repair Mechanisms (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Plant Science (272 citations), Endocrinology (28 citations), Otorhinolaryngology (21 citations), Oncology (131 citations) and Molecular Biology (278 citations). Max V. Ranall has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Gregory C Kettler, Boris A. Vinatzer, David S. Guttman, Jean T. Greenberg, Sara F. Sarkar, Brian Gabrielli, Thomas J. Gonda, Paul Leo, Mark A. T. Blaskovich and Matthew A. Cooper. Their work appears in journals such as BioTechniques, PLoS ONE, Molecular Cancer Therapeutics, Clinical Cancer Research 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.