Maria Long
Impact in
- Agronomy and Crop Science top 2%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
- Small Animals top 5%
- Animal health and immunology
Papers in
-
- Genomics and Chromatin Dynamics 4
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
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- Ruminant Nutrition and Digestive Physiology 3
- Co-authors
- K.S. Heyler (3 shared papers)A.N. Hristov (3 shared papers)T.W. Cassidy (3 shared papers)B.A. Corl (3 shared papers)C. Lee (2 shared papers)S.K.R. Karnati (2 shared papers)Robert J. Forster (1 shared paper)Carolyn J. Hovde (1 shared paper)
- Journals
- Journal of Dairy Science (3 papers)Molecular Microbiology (1 paper)G3 Genes Genomes Genetics (1 paper)Epigenetics & Chromatin (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Maria Long
11 papers receiving 538 citations
Peers
Comparison fields: 5 of 78
- Agronomy and Crop Science 301
- Small Animals 70
- Animal Science and Zoology 63
- Genetics 144
- Equine 7
Countries citing papers authored by Maria Long
This map shows the geographic impact of Maria 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 Maria Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Long more than expected).
Fields of papers citing papers by Maria Long
This network shows the impact of papers produced by Maria 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 Maria Long. The network helps show where Maria Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria 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 | 2010 | 122 | |
| 2 | 2010 | 119 | |
| 3 | 2011 | 86 | |
| 4 | 2015 | 78 | |
| 5 | 2011 | 55 | |
| 6 | 2010 | 48 | |
| 7 | 2015 | 28 | |
| 8 | 2015 | 9 | |
| 9 | 2021 | 5 | |
| 10 | 2024 | 3 | |
| 11 | The Effect of Birth Order on Behavior on Behavior and Academic Performance | 2019 | 1 |
About Maria Long
Maria Long is a scholar working on Molecular Biology, Agronomy and Crop Science, Genetics, Surgery and Infectious Diseases, having authored 11 papers that have together received 554 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers), RNA and protein synthesis mechanisms (2 papers), Genetic and phenotypic traits in livestock (2 papers), RNA modifications and cancer (2 papers), Natural Products and Biological Research (1 paper), Animal health and immunology (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (301 citations), Small Animals (70 citations), Animal Science and Zoology (63 citations), Genetics (144 citations) and Equine (7 citations). Maria Long has collaborated with scholars based in United States, China and India. Frequent co-authors include K.S. Heyler, A.N. Hristov, T.W. Cassidy, B.A. Corl, C. Lee, S.K.R. Karnati, Robert J. Forster, Carolyn J. Hovde, I. Yoon and G.A. Varga. Their work appears in journals such as Journal of Dairy Science, Molecular Microbiology, G3 Genes Genomes Genetics, Epigenetics & Chromatin and Molecular and Cellular Biology.
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.