T. Hashiguchi

434 citations
22 papers · 319 · h-index 10

Impact in

Papers in

T. Hashiguchi

22 papers receiving 310 citations

Peers

T. Hashiguchi
Comparison fields: 5 of 64
  • Animal Science and Zoology 113
  • Sensory Systems 24
  • Dermatology 41
  • Cell Biology 60
  • Endocrine and Autonomic Systems 15
Replace Georgina A. Ankra-Badu with:
Georgina A. Ankra-Badu United States
G Krömer Austria
J. V. Solanki India
Surong Shuai China
E Kunze United States
Knud Christensen Denmark
Bérénice Herszberg France
Marjorie McCants United States
Martin Šteffl Germany
Yuko Abe Japan
T. Hashiguchi relative to Georgina A. Ankra-Badu United States Georgina A. Ankra-Badu's profile →
Citations per field
00.5×4.8×
Georgina A. Ankra-Badu · 1×
Citations per year

Countries citing papers authored by T. Hashiguchi

Since Specialization
Citations

This map shows the geographic impact of T. Hashiguchi'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 T. Hashiguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hashiguchi more than expected).

Fields of papers citing papers by T. Hashiguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200365
2 198443
3 200530
4 198628
5 199324
6 200319
7 201317
8 200614
9 200310
10 200010
11 19898
12 19818
13 19878
14 19927
15 19936
16 19875
17 20034
18 19944
19 19924
20 19783

About T. Hashiguchi

T. Hashiguchi is a scholar working on Animal Science and Zoology, Molecular Biology, Genetics, Cell Biology and Small Animals, having authored 22 papers that have together received 319 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (9 papers), Livestock and Poultry Management (3 papers), Animal Genetics and Reproduction (2 papers), Mast cells and histamine (2 papers), Genetic and phenotypic traits in livestock (2 papers), dental development and anomalies (2 papers), Animal Behavior and Welfare Studies (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Animal Science and Zoology (113 citations), Sensory Systems (24 citations), Dermatology (41 citations), Cell Biology (60 citations) and Endocrine and Autonomic Systems (15 citations). T. Hashiguchi has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yoshizane MAEDA, Kumiko Hayashi, Tamotsu Kanzaki, Shiki Okamoto, Shinichi Yotsumoto, Takuro Kanekura, Naoto OHTAKE, Hirohiko Akamatsu, Masayuki Nishi and Jun Adachi. Their work appears in journals such as Biochemical Genetics, British Poultry Science, The Journal of Dermatology, Dermatology and Asian-Australasian Journal of Animal Sciences.

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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