L.T. Gama
Impact in
- Animal Science and Zoology top 0.2%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Livestock and Poultry Management
- Equine top 1%
Papers in
- Genetics 83
- Genetic and phenotypic traits in livestock 80
- Genetic Mapping and Diversity in Plants and Animals 29
- Genetic diversity and population structure 20
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- Meat and Animal Product Quality 29
- Animal Nutrition and Physiology 26
- Co-authors
- M. Chaveiro Soares (4 shared papers)N. Carolino (19 shared papers)Catarina Ginja (19 shared papers)Constança Pomba (13 shared papers)Adriana Belas (12 shared papers)Maria Cristina Bressan (21 shared papers)Cátia Marques (9 shared papers)C.M.G.A. Fontes (9 shared papers)
In The Last Decade
L.T. Gama
132 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 112
- Animal Science and Zoology 1.1k
- Equine 111
- Molecular Medicine 268
- Agronomy and Crop Science 508
- Genetics 1.3k
Countries citing papers authored by L.T. Gama
This map shows the geographic impact of L.T. Gama'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 L.T. Gama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.T. Gama more than expected).
Fields of papers citing papers by L.T. Gama
This network shows the impact of papers produced by L.T. Gama. 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 L.T. Gama. The network helps show where L.T. Gama may publish in the future.
Co-authors
The 25 scholars most cited alongside L.T. Gama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 167 | |
| 2 | 1997 | 127 | |
| 3 | 2007 | 117 | |
| 4 | 2017 | 105 | |
| 5 | 2007 | 99 | |
| 6 | 1991 | 95 | |
| 7 | 2018 | 81 | |
| 8 | 2009 | 77 | |
| 9 | 2012 | 73 | |
| 10 | 2016 | 72 | |
| 11 | 2008 | 66 | |
| 12 | 2019 | 66 | |
| 13 | 2011 | 62 | |
| 14 | 2008 | 57 | |
| 15 | 2012 | 52 | |
| 16 | 2008 | 51 | |
| 17 | 2012 | 49 | |
| 18 | 2010 | 44 | |
| 19 | 2016 | 42 | |
| 20 | 1993 | 41 |
About L.T. Gama
L.T. Gama is a scholar working on Genetics, Animal Science and Zoology, Agronomy and Crop Science, Molecular Biology and Plant Science, having authored 137 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (80 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers), Meat and Animal Product Quality (29 papers), Animal Nutrition and Physiology (26 papers), Genetic diversity and population structure (20 papers), Veterinary Equine Medical Research (9 papers), Antibiotic Resistance in Bacteria (8 papers) and Genetics and Plant Breeding (8 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Equine (111 citations), Molecular Medicine (268 citations), Agronomy and Crop Science (508 citations) and Genetics (1.3k citations). L.T. Gama has collaborated with scholars based in Portugal, Brazil and Spain. Frequent co-authors include M. Chaveiro Soares, N. Carolino, Catarina Ginja, Constança Pomba, Adriana Belas, Maria Cristina Bressan, Cátia Marques, C.M.G.A. Fontes, Amparo Martínez and L.M.A. Ferreira. Their work appears in journals such as Livestock Science, Journal of Animal Science, Small Ruminant Research, Poultry Science and Animals.
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.