Svetlana Lima
- Agronomy and Crop Science top 0.5%
- Reproductive Physiology in Livestock 8
- Milk Quality and Mastitis in Dairy Cows 5
- Ruminant Nutrition and Digestive Physiology 4
- Microbiology top 2%
- Reproductive tract infections research 4
- Small Animals top 1%
- Endocrinology top 5%
- Food Science top 5%
- Probiotics and Fermented Foods 4
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- Gut microbiota and health 18
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- Clostridium difficile and Clostridium perfringens research 6
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- Infant Nutrition and Health 3
- Co-authors
- R.C. BicalhoF.S. LimaG. OikonomouErika GandaKlibs N. GalvãoSoo Jin JeonV.S. MachadoM.L.S. Bicalho
- Journals
- Cell (1 paper)SHILAP Revista de lepidopterología (1 paper)Immunity (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Svetlana Lima
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 102
- Agronomy and Crop Science 859
- Microbiology 240
- Small Animals 279
- Endocrinology 94
- Food Science 321
Countries citing papers authored by Svetlana Lima
This map shows the geographic impact of Svetlana Lima'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 Svetlana Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svetlana Lima more than expected).
Fields of papers citing papers by Svetlana Lima
This network shows the impact of papers produced by Svetlana Lima. 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 Svetlana Lima. The network helps show where Svetlana Lima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Svetlana Lima, 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 | 2024 | 1 | |
| 2 | 2024 | 19 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 99 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 113 | |
| 8 | 2019 | 36 | |
| 9 | 2019 | 31 | |
| 10 | 16S rRNA milk microbiota profiles on Holstein cows highlight QTL and provide a novel trait to assess the genetic regulation of mastitis | 2018 | 1 |
| 11 | 2018 | 126 | |
| 12 | 2018 | 31 | |
| 13 | 2017 | 100 | |
| 14 | 2017 | 67 | |
| 15 | 2017 | 43 | |
| 16 | 2016 | 49 | |
| 17 | 2016 | 58 | |
| 18 | 2016 | 85 | |
| 19 | 2016 | 88 | |
| 20 | 2015 | 50 |
About Svetlana Lima
Svetlana Lima is a scholar working on Agronomy and Crop Science, Microbiology and Small Animals, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gut microbiota and health (18 papers), Reproductive Physiology in Livestock (8 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Reproductive tract infections research (4 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Probiotics and Fermented Foods (4 papers) and Infant Nutrition and Health (3 papers). The work is most often cited by research in Agronomy and Crop Science (859 citations), Microbiology (240 citations) and Small Animals (279 citations). Svetlana Lima has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include R.C. Bicalho, F.S. Lima, G. Oikonomou, Erika Ganda, Klibs N. Galvão, Soo Jin Jeon, V.S. Machado, M.L.S. Bicalho, A. Vieira-Neto and A.G.V. Teixeira. Their work appears in journals such as Cell, SHILAP Revista de lepidopterología and Immunity.
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.