N. Long
Impact in
- Genetics top 10%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Plant Science top 10%
- Genetics and Plant Breeding
- Wheat and Barley Genetics and Pathology
Papers in
- Genetics 6
- Genetic and phenotypic traits in livestock 6
- Genetic Mapping and Diversity in Plants and Animals 6
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- Genetics and Plant Breeding 3
- Co-authors
- K.A. Weigel (5 shared papers)Daniel Gianola (5 shared papers)Guilherme J. M. Rosa (5 shared papers)Santiago Avendaño (2 shared papers)X.‐L. Wu (1 shared paper)Hugo Naya (1 shared paper)Óscar González-Recio (1 shared paper)G. de los Campos (1 shared paper)
- Journals
- Journal of Animal Science (2 papers)One Health (1 paper)Heredity (1 paper)Journal of Animal Breeding and Genetics (1 paper)Journal of Dairy Science (1 paper)
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
N. Long
7 papers receiving 323 citations
Peers
Comparison fields: 5 of 60
- Genetics 267
- Plant Science 176
- Animal Science and Zoology 24
- Agronomy and Crop Science 18
- Business and International Management 2
Countries citing papers authored by N. Long
This map shows the geographic impact of N. Long'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. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Long more than expected).
Fields of papers citing papers by N. Long
This network shows the impact of papers produced by N. Long. 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. Long. The network helps show where N. Long may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Long, 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 | 2009 | 98 | |
| 2 | 2008 | 72 | |
| 3 | 2014 | 55 | |
| 4 | 2011 | 44 | |
| 5 | 2012 | 37 | |
| 6 | Exploring Local/global Transformations: A view from anthropology | 1999 | 19 |
| 7 | 2008 | 9 | |
| 8 | 2025 | 0 |
About N. Long
N. Long is a scholar working on Genetics, Plant Science, Animal Science and Zoology, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 334 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetics and Plant Breeding (3 papers), Animal Nutrition and Physiology (2 papers), Reproductive Physiology in Livestock (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Genetics (267 citations), Plant Science (176 citations), Animal Science and Zoology (24 citations), Agronomy and Crop Science (18 citations) and Business and International Management (2 citations). N. Long has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include K.A. Weigel, Daniel Gianola, Guilherme J. M. Rosa, Santiago Avendaño, X.‐L. Wu, Hugo Naya, Óscar González-Recio, G. de los Campos, Arione Augusti Boligon and Lúcia Galvão de Albuquerque. Their work appears in journals such as Journal of Animal Science, One Health, Heredity, Journal of Animal Breeding and Genetics and Journal of Dairy Science.
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.