H. G. Nass
- Plant Science top 5%
- Agronomy and Crop Science top 2%
- Genetics
- Soil Science top 10%
- Nutrition and Dietetics
- Co-authors
- Benjamin ReiserMichio SuzukiJohn MacleodM. S. ZubérJ. A. IvanyWeikai YanYves DionH. D. Voldeng
- Topics
- Wheat and Barley Genetics and Pathology (24 papers)Crop Yield and Soil Fertility (17 papers)Genetics and Plant Breeding (9 papers)
- Partner nations
- CanadaVenezuelaUnited States
In The Last Decade
H. G. Nass
45 papers receiving 499 citations
Peers
Comparison fields: 5 of 50
- Plant Science 544
- Agronomy and Crop Science 266
- Genetics 110
- Soil Science 80
- Nutrition and Dietetics 45
Countries citing papers authored by H. G. Nass
This map shows the geographic impact of H. G. Nass'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 H. G. Nass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. G. Nass more than expected).
Fields of papers citing papers by H. G. Nass
This network shows the impact of papers produced by H. G. Nass. 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 H. G. Nass. The network helps show where H. G. Nass may publish in the future.
Co-authorship network of co-authors of H. G. Nass
This figure shows the co-authorship network connecting the top 25 collaborators of H. G. Nass. A scholar is included among the top collaborators of H. G. Nass 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 H. G. Nass. H. G. Nass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Identification and characterization of Leifsonia xyli subsp. xyli as sugarcane pathogen (Saccharum sp.) in the Centro Occidental region of Venezuela | 1 |
| 2 | Identificación y caracterización de leifsonia xyli subsp. xyli como patógeno de la caña de azúcar (saccharum sp.) en la región centro occidental de Venezuela | 1 |
| 3 | Incidencia del saltahojas verde de la caña en siete cultivares de caña de azúcar, Estado Táchira, Venezuela | 1 |
| 4 | 56 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 45 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | Seed treatment with fungicides for controlling leaf blast on rice. | 1 |
| 11 | 42 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 10 | |
| 15 | 31 | |
| 16 | 78 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 4 |
About H. G. Nass
H. G. Nass is a scholar working on Agronomy and Crop Science, Plant Science and Horticulture, having authored 48 papers that have together received 621 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (24 papers), Crop Yield and Soil Fertility (17 papers) and Genetics and Plant Breeding (9 papers). The work is most often cited by research in Agronomy and Crop Science (266 citations), Plant Science (544 citations) and Soil Science (80 citations). H. G. Nass has collaborated with scholars based in Canada, Venezuela and United States. Frequent co-authors include Benjamin Reiser, Michio Suzuki, John Macleod, M. S. Zubér, J. A. Ivany, Weikai Yan, Yves Dion, H. D. Voldeng, B. L. and Judith Fregeau-reid. Their work appears in journals such as Theoretical and Applied Genetics, Crop Science and Agronomy Journal.
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.