T. Yanagisawa

2.5k citations
56 papers · 2.0k indexed · h-index 26

T. Yanagisawa

54 papers receiving 2.0k citations

Peers

T. Yanagisawa
Comparison fields: 5 of 88
  • Molecular Biology 1.5k
  • Nutrition and Dietetics 192
  • Genetics 345
  • Organic Chemistry 303
  • Microbiology 58
Replace Jean-Michel Wieruszeski with:
Jean-Michel Wieruszeski France
G�nther Jung Germany
Herman A. de Boer Netherlands
Carole Creuzenet Canada
Yoko Yasuda Japan
Mary Alice Hefford Canada
Evan W. Skowronski United States
Alessandra M. Albertini Italy
N. Vasisht United Kingdom
E.V. Blagova United Kingdom
T. Yanagisawa relative to Jean-Michel Wieruszeski France Jean-Michel Wieruszeski's profile →
Citations per field
00.5×6.2×
Jean-Michel Wieruszeski · 1×
Citations per year

Countries citing papers authored by T. Yanagisawa

Since Specialization
Citations

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

Fields of papers citing papers by T. Yanagisawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20233
3 201818
4 201814
5 201636
6 201435
7 201250
8 201163
9 20104
10 2010119
11 200940
12 2008295
13 200881
14 2008239
15 200644
16 200527
17
Genetic analysis of heading traits in winter type wheat, by using a DH population
20021
18 200267
19
Massive proteinuria after renal transplantation treated with LDL-apheresis.
19963
20 199118

About T. Yanagisawa

T. Yanagisawa is a scholar working on Transplantation, Microbiology and Molecular Biology, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (27 papers), RNA modifications and cancer (18 papers), Wheat and Barley Genetics and Pathology (8 papers), Genomics and Phylogenetic Studies (7 papers), Bacterial Genetics and Biotechnology (7 papers), Food composition and properties (6 papers), CRISPR and Genetic Engineering (4 papers) and Bacterial Infections and Vaccines (4 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Nutrition and Dietetics (192 citations) and Genetics (345 citations). T. Yanagisawa has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Shigeyuki Yokoyama, Kensaku Sakamoto, Takatsugu Kobayashi, Ryohei Ishii, Ryuya Fukunaga, Takahito Mukai, Nobumasa Hino, Chikako Kiribuchi‐Otobe, Tomomi Sumida and Makoto Kawakami. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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