T. Yano

1.9k citations
74 papers · 1.5k · h-index 20

Impact in

    • Amino Acid Enzymes and Metabolism
    • RNA and protein synthesis mechanisms
    • Enzyme Catalysis and Immobilization
    • Microbial Metabolic Engineering and Bioproduction
    • Biochemical and Molecular Research

Papers in

T. Yano

67 papers receiving 1.4k citations

Peers

T. Yano
Comparison fields: 5 of 99
  • Biochemistry 185
  • Molecular Biology 1.0k
  • Molecular Medicine 47
  • Microbiology 45
  • Biotechnology 60
Replace Marieke G. L. Elferink with:
Marieke G. L. Elferink Netherlands
Jagoda Jabłońska Israel
Georg Zocher Germany
C.J. Squire New Zealand
J. Sygusch Canada
Dianfan Li China
Dana Reichmann Israel
Fangfang Guo China
Tom Wennekes Netherlands
Paola Laurino Japan
T. Yano relative to Marieke G. L. Elferink Netherlands Marieke G. L. Elferink's profile →
Citations per field
00.5×4.5×
Marieke G. L. Elferink · 1×
Citations per year

Countries citing papers authored by T. Yano

Since Specialization
Citations

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

Fields of papers citing papers by T. Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998155
2 1999144
3 1999136
4 200191
5 198579
6 201674
7 199261
8 201748
9 201045
10 199338
11 200535
12 199135
13 200128
14 200828
15 199327
16 201724
17 201822
18 201722
19 200920
20 201620

About T. Yano

T. Yano is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Biochemistry and Electrical and Electronic Engineering, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), Enzyme Structure and Function (15 papers), Biochemical and Molecular Research (9 papers), Semiconductor materials and devices (9 papers), DNA Repair Mechanisms (8 papers), Amino Acid Enzymes and Metabolism (8 papers), Atmospheric Ozone and Climate (7 papers) and Bacterial Genetics and Biotechnology (7 papers). The work is most often cited by research in Biochemistry (185 citations), Molecular Biology (1.0k citations), Molecular Medicine (47 citations), Microbiology (45 citations) and Biotechnology (60 citations). T. Yano has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hiroyuki Kagamiyama, Shinya Oue, Seiki Kuramitsu, Akihiro Okamoto, E. Tschuikow‐Roux, Jan Niedzielski, Seiji Ishii, Jun Hoseki, Hideyuki Hayashi and Kenji Fukui. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemistry, The Journal of Biochemistry and Scientific Reports.

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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