Y Nishimura

2.3k citations
36 papers · 2.0k · h-index 23

Impact in

Papers in

    • RNA and protein synthesis mechanisms 11
    • Glycosylation and Glycoproteins Research 4
    • DNA Repair Mechanisms 3
    • Bacterial Genetics and Biotechnology 9

Y Nishimura

36 papers receiving 1.7k citations

Peers

Y Nishimura
Comparison fields: 5 of 100
  • Molecular Medicine 399
  • Endocrinology 134
  • Genetics 715
  • Molecular Biology 1.4k
  • Microbiology 69
Replace Hideho Suzuki with:
Hideho Suzuki Japan
Toshio Fukasawa Japan
Rolf Menzel United States
Christopher F. Higgins United Kingdom
Agata L. Starosta Germany
A. Simon Lynch United States
Ahmed Bouhss France
Brian P. Nichols United States
Quanjiang Ji China
Jean‐Michel Masson France
Y Nishimura relative to Hideho Suzuki Japan Hideho Suzuki's profile →
Citations per field
00.5×1.6×
Hideho Suzuki · 1×
Citations per year

Countries citing papers authored by Y Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Y Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981247
2 1978238
3 1977200
4 1988135
5 1990128
6 1991127
7 1982124
8 1977100
9
Escherichia coliにおける細胞分裂の過程 ムレイン‐リポたんぱく質を欠如するE. coliの突然変異体
197785
10 197867
11 198055
12 198654
13 198945
14 198944
15 196736
16 198730
17 201328
18
Interreceptor junction in the double cone of the chicken retina.
198527
19 197727
20 200426

About Y Nishimura

Y Nishimura is a scholar working on Molecular Biology, Genetics, Oncology, Materials Chemistry and Organic Chemistry, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Bacterial Genetics and Biotechnology (9 papers), Peptidase Inhibition and Analysis (5 papers), Glycosylation and Glycoproteins Research (4 papers), Antibiotic Resistance in Bacteria (4 papers), Enzyme Structure and Function (4 papers), Bacteriophages and microbial interactions (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Molecular Medicine (399 citations), Endocrinology (134 citations), Genetics (715 citations), Molecular Biology (1.4k citations) and Microbiology (69 citations). Y Nishimura has collaborated with scholars based in Japan, United Kingdom and France. Frequent co-authors include Yukinori Hirota, Hirotoshi Suzuki, Seiichi Yasuda, Hiroshi Hara, Atsushi Higashitani, Junichi Kato, Yoshinobu Sugino, Miyo Terao Morita, Susumu Nishimura and Louis A. Zumstein. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Organic Letters, Tetrahedron Letters and Colloid & Polymer Science.

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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