G.J. Marcus

1.4k citations
51 papers · 1.1k indexed · h-index 20

G.J. Marcus

51 papers receiving 1.0k citations

Peers

G.J. Marcus
Comparison fields: 5 of 80
  • Reproductive Medicine 444
  • Agronomy and Crop Science 489
  • Public Health, Environmental and Occupational Health 568
  • Equine 31
  • Genetics 331
Replace C. D. Nancarrow with:
C. D. Nancarrow Australia
R.T. Duby United States
Kunitada SATO Japan
K. M. Henderson New Zealand
R. R. Maurer United States
T. Wise United States
R. M. Melampy United States
Debora L. Hamernik United States
L. P. Cahill Australia
P.J. Bridges United States
G.J. Marcus relative to C. D. Nancarrow Australia C. D. Nancarrow's profile →
Citations per field
00.5×3.4×
C. D. Nancarrow · 1×
Citations per year

Countries citing papers authored by G.J. Marcus

Since Specialization
Citations

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

Fields of papers citing papers by G.J. Marcus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.J. Marcus. 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 G.J. Marcus. The network helps show where G.J. Marcus may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199910
2 199321
3 1992128
4 19921
5 199134
6 199040
7 19896
8 198818
9 198757
10
Prediction of lactation performance from prepubertal serum steroid levels.
19863
11 198635
12 198553
13 19843
14 19809
15 197963
16 19756
17 19673
18 19671
19 19636
20 196316

About G.J. Marcus

G.J. Marcus is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (25 papers), Reproductive Biology and Fertility (21 papers), Estrogen and related hormone effects (10 papers), Reproductive System and Pregnancy (9 papers), Genetic and phenotypic traits in livestock (8 papers), Sperm and Testicular Function (8 papers), Pregnancy and Medication Impact (5 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Reproductive Medicine (444 citations), Agronomy and Crop Science (489 citations) and Public Health, Environmental and Occupational Health (568 citations). G.J. Marcus has collaborated with scholars based in Canada, Israel and United States. Frequent co-authors include L. Ainsworth, B.R. Downey, Benjamin K. Tsang, G. A. Langford, David T. Armstrong, A.J. Hackett, J.N.B. Shrestha, P.S. Fiser, Yasuo Shioya and Toshiyuki Kojima. Their work appears in journals such as Biology of Reproduction, Reproduction, Theriogenology, Cryobiology and Canadian Journal of Animal Science.

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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