Alfred Moore

39 papers receiving 1.0k citations

Peers

Alfred Moore
Comparison fields: 5 of 110
  • Equine 70
  • Behavioral Neuroscience 76
  • Agronomy and Crop Science 194
  • Small Animals 99
  • Developmental Neuroscience 50
Replace Minoru Ohta with:
Minoru Ohta Japan
Steven C. Zicker United States
Haruki Shibata Japan
H.‐H. Frey Germany
Mari Aoki Japan
Chang Won Kang South Korea
E. Ellen Billett United Kingdom
Begoña M. Escribano Spain
Junxing Zhao China
Dorota Tomaszewska-Zaremba Poland
Alfred Moore relative to Minoru Ohta Japan Minoru Ohta's profile →
Citations per field
00.5×3.2×
Minoru Ohta · 1×
Citations per year

Countries citing papers authored by Alfred Moore

Since Specialization
Citations

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

Fields of papers citing papers by Alfred Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008225
2 198378
3 200375
4 199361
5 198155
6 198251
7 199148
8 199046
9 200637
10 199737
11 200734
12 199625
13 200825
14 200124
15 200523
16 199422
17 200918
18 201618
19 201817
20 199814

About Alfred Moore

Alfred Moore is a scholar working on Small Animals, Molecular Biology, Agronomy and Crop Science, Cellular and Molecular Neuroscience and Genetics, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Nanoplatforms for cancer theranostics (5 papers), Animal Behavior and Welfare Studies (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Ga2O3 and related materials (4 papers), Nerve injury and regeneration (3 papers), Genetic and phenotypic traits in livestock (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Equine (70 citations), Behavioral Neuroscience (76 citations), Agronomy and Crop Science (194 citations), Small Animals (99 citations) and Developmental Neuroscience (50 citations). Alfred Moore has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Heather A. Bimonte‐Nelson, Ann‐Charlotte Granholm, N. M. Cox, Matthew Nelson, Linnea R. Freeman, Kumar Sambamurti, G. D. Bottoms, O. F. Roesel, J. F. Fessler and Harry C. Frauenfelder. Their work appears in journals such as Journal of Animal Science, American Journal of Veterinary Research, Biology of Reproduction, Behavioral Neuroscience and ACS Chemical Neuroscience.

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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