S. Tsuji

1.1k citations
32 papers · 859 indexed · h-index 14
Topics
Genetic and phenotypic traits in livestock (14 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)Meat and Animal Product Quality (5 papers)
Partner nations
JapanIrelandAustralia

In The Last Decade

S. Tsuji

31 papers receiving 804 citations

Peers

S. Tsuji
Comparison fields: 5 of 77
  • Genetics 599
  • Molecular Biology 300
  • Animal Science and Zoology 189
  • Food Science 74
  • Cancer Research 72
Replace Natalia Sevane with:
Natalia Sevane Spain
Yoshizane MAEDA Japan
Shinji Sasazaki Japan
Vivi Hunnicke Nielsen Denmark
H. Bartenschlager Germany
Lixin Du China
N. G. Cullen New Zealand
Fuping Zhao China
Zhenshuang Tang China
C. Knörr Germany
S. Tsuji relative to Natalia Sevane Spain Natalia Sevane's profile →
Citations per field
00.5×1.5×2.2×
Natalia Sevane · 1×
Citations per year

Countries citing papers authored by S. Tsuji

Since Specialization
Citations

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

Fields of papers citing papers by S. Tsuji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Tsuji

This figure shows the co-authorship network connecting the top 25 collaborators of S. Tsuji. A scholar is included among the top collaborators of S. Tsuji 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 S. Tsuji. S. Tsuji 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 25
2 37
3 7
4 8
5 147
6 5
7 10
8 51
9 112
10 52
11 21
12 1
13
Dopamine cell death by a single genetic mechanism: phenotypic analysis and linkage study of autosomal recessive juvenile parkinsonism.
1
14 76
15 9
16 38
17
[Distal myopathy with rimmed vacuoles(DMRV)].
1
18 31
19
DNA fingerprinting using the bacteriophage M13 probe in fowls.
3
20 1

About S. Tsuji

S. Tsuji is a scholar working on Animal Science and Zoology, Genetics and Agronomy and Crop Science, having authored 32 papers that have together received 859 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Meat and Animal Product Quality (5 papers). The work is most often cited by research in Genetics (599 citations), Animal Science and Zoology (189 citations) and Agronomy and Crop Science (67 citations). S. Tsuji has collaborated with scholars based in Japan, Ireland and Australia. Frequent co-authors include Hideyuki Mannen, Fumio Mukai, Daniel G. Bradley, Kenji Oyama, R T Loftus, Takatoshi Kojima, Takashi Amano, Michinari Yokohama, Mitsutomo Kohno and Takafumi Ishida. Their work appears in journals such as The Lancet, Neurology and Genetics.

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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