Ram Kumar Basnet
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Disease Resistance and Genetics
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Nitrogen and Sulfur Effects on Brassica 4
- Photosynthetic Processes and Mechanisms 3
- Plant biochemistry and biosynthesis 2
-
- Plant Molecular Biology Research 4
- Genetics and Plant Breeding 3
- Co-authors
- Guusje Bonnema (13 shared papers)Richard G. F. Visser (7 shared papers)Dunia Pino Del Carpio (6 shared papers)Johan Bucher (8 shared papers)Chris Maliepaard (5 shared papers)Ke Lin (5 shared papers)Xiaowu Wang (5 shared papers)Dong Xiao (4 shared papers)
- Journals
- PLoS ONE (3 papers)PLANT PHYSIOLOGY (2 papers)Journal of Experimental Botany (1 paper)Theoretical and Applied Genetics (1 paper)BMC Genomics (1 paper)
- Partner nations
- NetherlandsChinaUnited States
In The Last Decade
Ram Kumar Basnet
15 papers receiving 558 citations
Peers
Comparison fields: 5 of 67
- Plant Science 321
- Biochemistry 51
- Molecular Biology 359
- Genetics 124
- Horticulture 3
Countries citing papers authored by Ram Kumar Basnet
This map shows the geographic impact of Ram Kumar Basnet'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 Ram Kumar Basnet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Kumar Basnet more than expected).
Fields of papers citing papers by Ram Kumar Basnet
This network shows the impact of papers produced by Ram Kumar Basnet. 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 Ram Kumar Basnet. The network helps show where Ram Kumar Basnet may publish in the future.
Co-authors
The 25 scholars most cited alongside Ram Kumar Basnet, 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 | 2011 | 125 | |
| 2 | 2013 | 92 | |
| 3 | 2010 | 59 | |
| 4 | 2011 | 56 | |
| 5 | 2014 | 35 | |
| 6 | 2010 | 35 | |
| 7 | 2015 | 29 | |
| 8 | 2011 | 29 | |
| 9 | 2014 | 25 | |
| 10 | 2013 | 23 | |
| 11 | 2015 | 22 | |
| 12 | 2019 | 17 | |
| 13 | 2014 | 16 | |
| 14 | SOIL QUALITY CARDS FOR PARTICIPATORY SOIL QUALITY ASSESSMENT IN ORGANIC AND SMALLHOLDER AGRICULTURE | 2009 | 1 |
| 15 | 2024 | 1 |
About Ram Kumar Basnet
Ram Kumar Basnet is a scholar working on Molecular Biology, Plant Science, Genetics, Biochemistry and Computer Networks and Communications, having authored 15 papers that have together received 565 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Plant Molecular Biology Research (4 papers), Nitrogen and Sulfur Effects on Brassica (4 papers), Lipid metabolism and biosynthesis (3 papers), Genetics and Plant Breeding (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Plant biochemistry and biosynthesis (2 papers) and Agricultural Science and Fertilization (1 paper). The work is most often cited by research in Plant Science (321 citations), Biochemistry (51 citations), Molecular Biology (359 citations), Genetics (124 citations) and Horticulture (3 citations). Ram Kumar Basnet has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include Guusje Bonnema, Richard G. F. Visser, Dunia Pino Del Carpio, Johan Bucher, Chris Maliepaard, Ke Lin, Xiaowu Wang, Dong Xiao, Ric C. H. de Vos and Feng Cheng. Their work appears in journals such as PLoS ONE, PLANT PHYSIOLOGY, Journal of Experimental Botany, Theoretical and Applied Genetics and BMC Genomics.
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.