BK Campbell

1.0k citations
19 papers · 820 · h-index 11

Impact in

Papers in

BK Campbell

16 papers receiving 763 citations

Peers

BK Campbell
Comparison fields: 5 of 62
  • Agronomy and Crop Science 294
  • Reproductive Medicine 159
  • Public Health, Environmental and Occupational Health 508
  • Genetics 356
  • Molecular Biology 264
Replace Michele D. Calder with:
Michele D. Calder Canada
V. Schutzkus United States
H.‐D. Reichenbach Germany
Laurel D. Quirke New Zealand
Rajadurai Rajamahendran Canada
Paula Tríbulo United States
Charlène Rico Canada
C. L. Moeller United States
Constantine A. Simintiras Ireland
Patrícia Kubo Fontes Brazil
BK Campbell relative to Michele D. Calder Canada Michele D. Calder's profile →
Citations per field
00.5×1.5×
Michele D. Calder · 1×
Citations per year

Countries citing papers authored by BK Campbell

Since Specialization
Citations

This map shows the geographic impact of BK Campbell'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 BK Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BK Campbell more than expected).

Fields of papers citing papers by BK Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by BK Campbell. 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 BK Campbell. The network helps show where BK Campbell may publish in the future.

Co-authors

The 25 scholars most cited alongside BK Campbell, 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 BK Campbell Line = papers co-authored together BK Campbell links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2001362
2 2002123
3 200169
4 198849
5 199842
6 200240
7 201235
8 201329
9 200325
10 201912
11 198811
12
Expression of markers of differentiated cell function in the ovarian follicles of sheep carrying the FecB gene.
19988
13 20196
14 19984
15 20193
16 19992
17 20190
18 20190
19 20190

About BK Campbell

BK Campbell is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Reproductive Medicine, having authored 19 papers that have together received 820 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (12 papers), Reproductive Physiology in Livestock (11 papers), Genetic and phenotypic traits in livestock (4 papers), Ovarian function and disorders (2 papers), TGF-β signaling in diseases (2 papers), Kruppel-like factors research (2 papers), Effects of Environmental Stressors on Livestock (1 paper) and Bioenergy crop production and management (1 paper). The work is most often cited by research in Agronomy and Crop Science (294 citations), Reproductive Medicine (159 citations), Public Health, Environmental and Occupational Health (508 citations), Genetics (356 citations) and Molecular Biology (264 citations). BK Campbell has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include A. S. McNeilly, Baird Dt, D. T. Baird, R. J. Scaramuzzi, R. Webb, Y. Cognié, N.R. Kendall, P. Marsters, H.A. Garverick and DG Armstrong. Their work appears in journals such as Reproduction, Reproduction in Domestic Animals, Journal of Endocrinology, BJOG An International Journal of Obstetrics & Gynaecology and Queensland's institutional digital repository (The University of Queensland).

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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