Din Pow
Impact in
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- Plant Diversity and Evolution
- Plant Taxonomy and Phylogenetics
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- Genomics and Phylogenetic Studies
- Plant and Fungal Species Descriptions
Papers in
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- Genomics and Phylogenetic Studies 2
- Machine Learning in Bioinformatics 1
- Protein Degradation and Inhibitors 1
- Oncology 3
- HER2/EGFR in Cancer Research 3
- Co-authors
- Michael T. Clegg (3 shared papers)John Doebley (3 shared papers)Mary L. Durbin (2 shared papers)Edward M. Golenberg (2 shared papers)Adrian Clark (3 shared papers)Bruce A. Roe (3 shared papers)Shunsuke Ishii (3 shared papers)Ira Pastan (3 shared papers)
- Journals
- Evolution (2 papers)Molecular Phylogenetics and Evolution (1 paper)Plant Molecular Biology (1 paper)Nucleic Acids Research (1 paper)Nature (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Din Pow
9 papers receiving 738 citations
Peers
Comparison fields: 5 of 75
- Ecology, Evolution, Behavior and Systematics 223
- Molecular Biology 532
- Plant Science 239
- Oncology 159
- Genetics 128
Countries citing papers authored by Din Pow
This map shows the geographic impact of Din Pow'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 Din Pow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Din Pow more than expected).
Fields of papers citing papers by Din Pow
This network shows the impact of papers produced by Din Pow. 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 Din Pow. The network helps show where Din Pow may publish in the future.
Co-authors
The 25 scholars most cited alongside Din Pow, 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 | 1984 | 270 | |
| 2 | 1993 | 191 | |
| 3 | 1990 | 139 | |
| 4 | 1987 | 55 | |
| 5 | 1990 | 50 | |
| 6 | 1985 | 39 | |
| 7 | 1986 | 31 | |
| 8 | 1986 | 17 | |
| 9 | MOLECULAR BIOLOGY AND PHYSIOLOGY Comparison of MIC-3 Protein Accumulation in Response to Root-knot Nematode Infection in Cotton Lines Displaying a Range of Resistance Levels | 2004 | 1 |
About Din Pow
Din Pow is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 9 papers that have together received 793 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genomics and Phylogenetic Studies (2 papers), Plant Disease Resistance and Genetics (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Machine Learning in Bioinformatics (1 paper), Protein Degradation and Inhibitors (1 paper) and Nematode management and characterization studies (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (223 citations), Molecular Biology (532 citations), Plant Science (239 citations), Oncology (159 citations) and Genetics (128 citations). Din Pow has collaborated with scholars based in United States and Japan. Frequent co-authors include Michael T. Clegg, John Doebley, Mary L. Durbin, Edward M. Golenberg, Adrian Clark, Bruce A. Roe, Shunsuke Ishii, Ira Pastan, Glenn Merlino and Richard K. Wilson. Their work appears in journals such as Evolution, Molecular Phylogenetics and Evolution, Plant Molecular Biology, Nucleic Acids Research and Nature.
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.