N. I. Vavilov
- Plant Science top 2%
- Genetics top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Food Science top 5%
- Topics
- Agriculture, Plant Science, Crop Management (5 papers)Seed and Plant Biochemistry (2 papers)Agriculture and Biological Studies (2 papers)
In The Last Decade
N. I. Vavilov
12 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Plant Science 1.3k
- Genetics 286
- Ecology, Evolution, Behavior and Systematics 264
- Molecular Biology 234
- Food Science 164
Countries citing papers authored by N. I. Vavilov
This map shows the geographic impact of N. I. Vavilov'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 N. I. Vavilov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. I. Vavilov more than expected).
Fields of papers citing papers by N. I. Vavilov
This network shows the impact of papers produced by N. I. Vavilov. 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 N. I. Vavilov. The network helps show where N. I. Vavilov may publish in the future.
Co-authorship network of co-authors of N. I. Vavilov
This figure shows the co-authorship network connecting the top 25 collaborators of N. I. Vavilov. A scholar is included among the top collaborators of N. I. Vavilov 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 N. I. Vavilov. N. I. Vavilov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | MAIZE-GAMAGRASS INTERSPECIFIC HYBRID, ZEA MAYS X TRIPSACUM DACTYLOIDES, SHOWS BETTER SALINITY TOLERANCE AND HIGHER NA+ EXCLUSION THAN MAIZE AND SORGHUM | 2 |
| 2 | 12 | |
| 3 | 26 | |
| 4 | 118 | |
| 5 | Immunity of plants to infectious diseases. | 10 |
| 6 | World varietal resources of cereals, grain legumes and flax and their utilization in breeding. Wheats. | 4 |
| 7 | World resources of cereals, grain, leguminous crops and flax and their utilization in plant breeding. Agroecological survey of the principal field crops. | 6 |
| 8 | The origin, variation, immunity and breeding of cultivated plants : selected writings | 79 |
| 9 | 5 | |
| 10 | Studies on the origin of cultivated plantsbreakdown → | 357 |
| 11 | Phytogeographic basis of plant breeding. | 36 |
| 12 | The Origin, Variation, Immunity and Breeding of Cultivated Plantsbreakdown → | 1051 |
About N. I. Vavilov
N. I. Vavilov is a scholar working on General Agricultural and Biological Sciences, Plant Science and Food Science, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Agriculture, Plant Science, Crop Management (5 papers), Seed and Plant Biochemistry (2 papers) and Agriculture and Biological Studies (2 papers). The work is most often cited by research in Plant Science (1.3k citations), Agronomy and Crop Science (146 citations) and Ecology, Evolution, Behavior and Systematics (264 citations). Frequent co-authors include K. Starr Chester, Doris Löve, Wolfgang Weber, Melissa Savage, H. S. Marshall and Yuri Shavrukov. Their work appears in journals such as Soil Science, Geographical Review and Kew Bulletin.
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.