Elva Cha

571 citations
11 papers · 456 · h-index 9

Impact in

    • Animal Behavior and Welfare Studies
    • Milk Quality and Mastitis in Dairy Cows
    • Animal Disease Management and Epidemiology
    • Reproductive Physiology in Livestock

Papers in

    • Milk Quality and Mastitis in Dairy Cows 6
    • Animal Disease Management and Epidemiology 4
    • Genetic and phenotypic traits in livestock 7

Elva Cha

11 papers receiving 436 citations

Peers

Elva Cha
Comparison fields: 5 of 67
  • Small Animals 200
  • Agronomy and Crop Science 279
  • Animal Science and Zoology 114
  • Microbiology 50
  • Genetics 164
Replace Chris Luby with:
Chris Luby Canada
A. Steiner Switzerland
Émile Bouchard Canada
K.A. Thompson-Crispi Canada
Julie L. Fitzpatrick United Kingdom
Willard C Losinger United States
E.J. Peeler United Kingdom
Maiara Garcia Blagitz Brazil
Rodolfo Santos Rossi Brazil
Steve Mason Canada
Elva Cha relative to Chris Luby Canada Chris Luby's profile →
Citations per field
00.5×1.6×
Chris Luby · 1×
Citations per year

Countries citing papers authored by Elva Cha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 20 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.

Border = papers with Elva Cha Line = papers co-authored together Elva Cha links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010212
2 2011104
3 201340
4 201431
5 201514
6 201614
7 201713
8 20169
9 20179
10 20188
11 20182

About Elva Cha

Elva Cha is a scholar working on Agronomy and Crop Science, Genetics, Small Animals, Infectious Diseases and Animal Science and Zoology, having authored 11 papers that have together received 456 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (7 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Animal Disease Management and Epidemiology (4 papers), Animal Behavior and Welfare Studies (4 papers), Genetics and Plant Breeding (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Spectroscopy and Chemometric Analyses (1 paper) and Clostridium difficile and Clostridium perfringens research (1 paper). The work is most often cited by research in Small Animals (200 citations), Agronomy and Crop Science (279 citations), Animal Science and Zoology (114 citations), Microbiology (50 citations) and Genetics (164 citations). Elva Cha has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include J.A. Hertl, Yrjö T. Gröhn, D. Bar, Loren W. Tauer, Y.H. Schukken, F.L. Welcome, G.J. Bennett, Rubén N. González, Y.T. Gröhn and Anders Ringgaard Kristensen. Their work appears in journals such as Journal of Dairy Science, Preventive Veterinary Medicine, Journal of Dairy Research, Journal of Agricultural Biological and Environmental Statistics and Journal of Food Protection.

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.

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