Kenzo Nakamura

4.7k citations
57 papers · 3.6k indexed · 1 hit paper · h-index 29

Kenzo Nakamura

54 papers receiving 3.4k citations

Hit Papers

Improved Gateway Binary Vectors: High-Performance Vectors...7432007202620132019200400600

Peers

Kenzo Nakamura
Comparison fields: 5 of 121
  • Plant Science 1.9k
  • Biotechnology 362
  • Molecular Biology 2.5k
  • Endocrinology 143
  • Genetics 504
Replace Zhouxi Wang with:
Zhouxi Wang United States
James Johnson United States
Arthur G. Hunt United States
Johan Robben Belgium
Norbert Arold Germany
Stefan Taudien Germany
Takeshi Mizuno Japan
Álvaro Martínez‐del‐Pozo Spain
Wolfgang Ehrhardt Germany
Suely Lopes Gomes Brazil
Kenzo Nakamura relative to Zhouxi Wang United States Zhouxi Wang's profile →
Citations per field
00.5×1.5×2.2×
Zhouxi Wang · 1×
Citations per year

Countries citing papers authored by Kenzo Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Kenzo Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2 201815
3 201636
4 20142
5 201426
6 20132
7 201244
8 20112
9 20115
10 201025
11 2007140
12
Improved Gateway Binary Vectors: High-Performance Vectors for Creation of Fusion Constructs in Transgenic Analysis of Plantsbreakdown →
2007743
13 200017
14 199328
15 19937
16 199240
17 199135
18
Present status and future prospects of underground physics experiments
19902
19 19814
20 197965

About Kenzo Nakamura

Kenzo Nakamura is a scholar working on Urology, Biotechnology and Plant Science, having authored 57 papers that have together received 3.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (7 papers), Plant Molecular Biology Research (7 papers), RNA and protein synthesis mechanisms (6 papers), Plant nutrient uptake and metabolism (6 papers), Bacterial Genetics and Biotechnology (6 papers), Neutrino Physics Research (5 papers), Urinary Bladder and Prostate Research (5 papers) and Astrophysics and Cosmic Phenomena (5 papers). The work is most often cited by research in Plant Science (1.9k citations), Biotechnology (362 citations) and Molecular Biology (2.5k citations). Kenzo Nakamura has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Masayori Inouye, Tsukaho Hattori, Shôji Mizushima, Shozo Ohta, Satoru Mita, Sumie Ishiguro, Takamasa Suzuki, Tetsuya Kimura, Shinya Nakamura and Tsuyoshi Nakagawa. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026