M.L.S. Bicalho
Impact in
- Agronomy and Crop Science top 0.5%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Milk Quality and Mastitis in Dairy Cows
- Small Animals top 1%
- Animal health and immunology
Papers in
-
- Reproductive Physiology in Livestock 20
- Ruminant Nutrition and Digestive Physiology 8
- Milk Quality and Mastitis in Dairy Cows 6
-
- Animal health and immunology 11
- Co-authors
- R.C. BicalhoV.S. MachadoR.O. GilbertG. OikonomouF.S. LimaA.G.V. TeixeiraL.S. CaixetaErika Ganda
- Journals
- Journal of Dairy Science (16 papers)The Veterinary Journal (3 papers)Theriogenology (2 papers)Veterinary Microbiology (2 papers)Journal of Veterinary Internal Medicine (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
M.L.S. Bicalho
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Agronomy and Crop Science 1.1k
- Small Animals 359
- Equine 48
- Animal Science and Zoology 222
- Microbiology 134
Countries citing papers authored by M.L.S. Bicalho
This map shows the geographic impact of M.L.S. Bicalho'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 M.L.S. Bicalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.L.S. Bicalho more than expected).
Fields of papers citing papers by M.L.S. Bicalho
This network shows the impact of papers produced by M.L.S. Bicalho. 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 M.L.S. Bicalho. The network helps show where M.L.S. Bicalho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M.L.S. Bicalho, 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 | 2019 | 9 | |
| 2 | 2017 | 100 | |
| 3 | 2017 | 74 | |
| 4 | 2017 | 81 | |
| 5 | 2017 | 47 | |
| 6 | 2015 | 44 | |
| 7 | 2014 | 20 | |
| 8 | 2014 | 39 | |
| 9 | 2014 | 54 | |
| 10 | 2014 | 12 | |
| 11 | 2014 | 25 | |
| 12 | 2013 | 76 | |
| 13 | 2012 | 124 | |
| 14 | 2012 | 35 | |
| 15 | 2012 | 13 | |
| 16 | 2011 | 31 | |
| 17 | 2011 | 145 | |
| 18 | 2010 | 96 | |
| 19 | 2010 | 29 | |
| 20 | 2007 | 9 |
About M.L.S. Bicalho
M.L.S. Bicalho is a scholar working on Agronomy and Crop Science, Small Animals, Microbiology, Equine and Molecular Medicine, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (20 papers), Animal health and immunology (11 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Genetic and phenotypic traits in livestock (7 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Bacteriophages and microbial interactions (4 papers), Effects of Environmental Stressors on Livestock (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Agronomy and Crop Science (1.1k citations), Small Animals (359 citations), Equine (48 citations), Animal Science and Zoology (222 citations) and Microbiology (134 citations). M.L.S. Bicalho has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include R.C. Bicalho, V.S. Machado, R.O. Gilbert, G. Oikonomou, F.S. Lima, A.G.V. Teixeira, L.S. Caixeta, Erika Ganda, Svetlana Lima and Richard Pereira. Their work appears in journals such as Journal of Dairy Science, The Veterinary Journal, Theriogenology, Veterinary Microbiology and Journal of Veterinary Internal Medicine.
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.