David Goad

875 citations
16 papers · 672 · h-index 11

Impact in

Papers in

    • Molecular Biology Techniques and Applications 2
    • Insect Resistance and Genetics 1
    • Animal Genetics and Reproduction 2
    • Genetic and phenotypic traits in livestock 2

David Goad

16 papers receiving 621 citations

Peers

David Goad
Comparison fields: 5 of 101
  • Agronomy and Crop Science 260
  • Small Animals 50
  • Genetics 125
  • Animal Science and Zoology 45
  • Atomic and Molecular Physics, and Optics 112
Replace K. Imai with:
K. Imai Japan
Sharon T. Mortimer Australia
K. Utsumi Japan
Hannah E. Johnson United States
J.A. Foulkes United Kingdom
G.A. Palma Germany
Raymond Bujdoso United Kingdom
S. Sasaki Japan
Maria Albrizio Italy
Thomas C. Allen United States
David Goad relative to K. Imai Japan K. Imai's profile →
Citations per field
00.5×7.5×
K. Imai · 1×
Citations per year

Countries citing papers authored by David Goad

Since Specialization
Citations

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

Fields of papers citing papers by David Goad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1998213
2 2007184
3 200167
4 200449
5 200346
6 195139
7 200316
8 200214
9 199412
10 200211
11 200410
12 20083
13 20093
14 19953
15
Water Law Be Dammed?: How Dam Construction by Non-hegemonic Basin States Places Strain on the Customary Law of Transboundary Watercourses
20201
16 20251

About David Goad

David Goad is a scholar working on Molecular Biology, Genetics, Agronomy and Crop Science, Biomedical Engineering and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 672 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (4 papers), Animal Genetics and Reproduction (2 papers), Genetic and phenotypic traits in livestock (2 papers), Molecular Biology Techniques and Applications (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Reproductive Biology and Fertility (2 papers), Animal health and immunology (1 paper) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Agronomy and Crop Science (260 citations), Small Animals (50 citations), Genetics (125 citations), Animal Science and Zoology (45 citations) and Atomic and Molecular Physics, and Optics (112 citations). David Goad has collaborated with scholars based in United States and Russia. Frequent co-authors include Carla Goad, T. G. Nagaraja, Jerry R. Malayer, Benton J. Underwood, Akhilesh Ramachandran, Pauline Y. Aad, Rodney D. Geisert, L. J. Spicer, Edward T. Knobbe and D. Gill. Their work appears in journals such as Biology of Reproduction, Electrophoresis, Mammalian Genome, Domestic Animal Endocrinology and Pediatric Allergy and Immunology.

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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