Motohide Nishio

968 citations
51 papers · 569 indexed · h-index 14
Topics
Genetic and phenotypic traits in livestock (18 papers)Genetic Mapping and Diversity in Plants and Animals (16 papers)Hematopoietic Stem Cell Transplantation (7 papers)
Partner nations
JapanKenyaAustralia

In The Last Decade

Motohide Nishio

48 papers receiving 555 citations

Peers

Motohide Nishio
Comparison fields: 5 of 120
  • Genetics 137
  • Hematology 98
  • Epidemiology 87
  • Pathology and Forensic Medicine 71
  • Oncology 58
Replace Κonstantinos Thomas with:
Κonstantinos Thomas Greece
Amy McCullough United States
C. Aláez Mexico
Juliette Brown United Kingdom
Nancy Goodman United States
Gary Toedter United States
Antônio Victor Campos Coelho Brazil
Manfred Wolter Germany
S. Uppal United Kingdom
Guadalupe Hernández‐Pacheco Mexico
Motohide Nishio relative to Κonstantinos Thomas Greece Κonstantinos Thomas's profile →
Citations per field
00.5×3.7×
Κonstantinos Thomas · 1×
Citations per year

Countries citing papers authored by Motohide Nishio

Since Specialization
Citations

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

Fields of papers citing papers by Motohide Nishio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motohide Nishio

This figure shows the co-authorship network connecting the top 25 collaborators of Motohide Nishio. A scholar is included among the top collaborators of Motohide Nishio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Motohide Nishio. Motohide Nishio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 11
3 1
4
Effects of gametic imprinting on beef carcass traits in Japanese Black cattle
1
5 33
6 18
7
Including Imprinting Effects in Genomic Best Linear Unbiased Prediction Method for Genomic Evaluation
2
8 12
9 26
10 1
11 24
12 19
13 3
14 33
15 32
16 8
17 9
18 3
19 6
20 31

About Motohide Nishio

Motohide Nishio is a scholar working on Hematology, Genetics and Animal Science and Zoology, having authored 51 papers that have together received 569 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (18 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Hematopoietic Stem Cell Transplantation (7 papers). The work is most often cited by research in Hematology (98 citations), Hepatology (42 citations) and Dermatology (46 citations). Motohide Nishio has collaborated with scholars based in Japan, Kenya and Australia. Frequent co-authors include Masahiro Satoh, Aisaku Arakawa, Takayoshi Koike, Tomoyuki Endo, K Koizumi, Yasuhidé Tsuji, M. Koshiba, Katsuya Fujimoto, Masato Obara and K Sawada. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Annals of the Rheumatic Diseases.

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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