Junichi MORI

429 citations
48 papers · 363 · h-index 12

Impact in

Papers in

Junichi MORI

44 papers receiving 338 citations

Peers

Junichi MORI
Comparison fields: 5 of 61
  • Agronomy and Crop Science 146
  • Reproductive Medicine 95
  • Small Animals 52
  • Genetics 118
  • Equine 5
Replace D. V. Illingworth with:
D. V. Illingworth United Kingdom
A. H. Surve United States
T.A. Yarney Canada
JK Findlay Australia
M.R. Blanc France
H. J. Howard United States
Phillip A. Fields United States
Bo Dennefors Sweden
E.G. Garófalo Uruguay
J.J. Reeves United States
Junichi MORI relative to D. V. Illingworth United Kingdom D. V. Illingworth's profile →
Citations per field
00.5×12×
D. V. Illingworth · 1×
Citations per year

Countries citing papers authored by Junichi MORI

Since Specialization
Citations

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

Fields of papers citing papers by Junichi MORI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198851
2 199624
3 197623
4 197322
5 198620
6 199716
7 199215
8 198914
9 197413
10 199413
11 198812
12 202011
13 198610
14 19928
15 20178
16 19867
17 19746
18 19946
19 19876
20 19786

About Junichi MORI

Junichi MORI is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism, Animal Science and Zoology, Genetics and Small Animals, having authored 48 papers that have together received 363 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (21 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Genetic and phenotypic traits in livestock (6 papers), Effects of Environmental Stressors on Livestock (5 papers), Reproductive System and Pregnancy (4 papers), Veterinary Medicine and Surgery (4 papers), Ovarian function and disorders (3 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Agronomy and Crop Science (146 citations), Reproductive Medicine (95 citations), Small Animals (52 citations), Genetics (118 citations) and Equine (5 citations). Junichi MORI has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Toshio Inaba, Tsutomu Sawada, Hiroshi Nagasawa, N. Kawate, Ronald C. Strickler, Walter G. Wiest, H. Tamada, Ryuzo Torii, Yoshihiko NAKANISHI and Reiko Yanai. Their work appears in journals such as Journal of Reproduction and Development, Journal of Endocrinology, Theriogenology, Prostaglandins and Animal Reproduction 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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