Elva Cha
Impact in
- Small Animals top 2%
- Animal Behavior and Welfare Studies
- Veterinary medicine and infectious diseases
- Agronomy and Crop Science top 2%
- Milk Quality and Mastitis in Dairy Cows
- Reproductive Physiology in Livestock
- Livestock Farming and Management
Papers in
-
- Milk Quality and Mastitis in Dairy Cows 6
- Livestock Farming and Management 1
-
- Animal Behavior and Welfare Studies 1
- Co-authors
- Yrjo Tapio Grohn (7 shared papers)Julia A. Hertl (6 shared papers)Ynte Hein Schukken (5 shared papers)Loren William Tauer (5 shared papers)Francis L. Welcome (4 shared papers)Rubén N. González (1 shared paper)Anders Ringgaard Kristensen (3 shared papers)Derek A. Mosier (1 shared paper)
- Journals
- Journal of Dairy Science (4 papers)Journal of Dairy Research (2 papers)Preventive Veterinary Medicine (2 papers)Journal of Food Protection (1 paper)Veterinary Microbiology (1 paper)
- Partner nations
- United StatesDenmarkNetherlands
In The Last Decade
Elva Cha
11 papers receiving 451 citations
Peers
Comparison fields: 5 of 45
- Small Animals 177
- Agronomy and Crop Science 220
- Applied Microbiology and Biotechnology 7
- Microbiology 18
- Endocrinology 11
Countries citing papers authored by Elva Cha
This map shows the geographic impact of Elva Cha'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 Elva Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elva Cha more than expected).
Fields of papers citing papers by Elva Cha
This network shows the impact of papers produced by Elva Cha. 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 Elva Cha. The network helps show where Elva Cha may publish in the future.
Co-authors
The 17 scholars most cited alongside Elva Cha, 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 | 219 | |
| 2 | 2011 | 106 | |
| 3 | 2013 | 42 | |
| 4 | 2014 | 31 | |
| 5 | 2015 | 15 | |
| 6 | 2017 | 15 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 9 | |
| 9 | 2017 | 9 | |
| 10 | 2018 | 7 | |
| 11 | 2018 | 2 |
About Elva Cha
Elva Cha is a scholar working on Agronomy and Crop Science, Small Animals, Endocrinology, Microbiology and Genetics, having authored 11 papers that have together received 468 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (6 papers), Genetic and phenotypic traits in livestock (2 papers), Livestock Farming and Management (1 paper), Statistical Methods and Bayesian Inference (1 paper), Escherichia coli research studies (1 paper), Bacterial biofilms and quorum sensing (1 paper), Statistical Methods and Applications (1 paper) and Animal Behavior and Welfare Studies (1 paper). The work is most often cited by research in Small Animals (177 citations), Agronomy and Crop Science (220 citations), Applied Microbiology and Biotechnology (7 citations), Microbiology (18 citations) and Endocrinology (11 citations). Elva Cha has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include Yrjo Tapio Grohn, Julia A. Hertl, Ynte Hein Schukken, Loren William Tauer, Francis L. Welcome, Rubén N. González, Anders Ringgaard Kristensen, Derek A. Mosier, David G. Renter and Nora M. Bello. Their work appears in journals such as Journal of Dairy Science, Journal of Dairy Research, Preventive Veterinary Medicine, Journal of Food Protection and Veterinary Microbiology.
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.