Akio Nakata

5.2k total citations · 1 hit paper
60 papers, 3.9k citations indexed

About

Akio Nakata is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Akio Nakata has authored 60 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Genetics and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Akio Nakata's work include Bacterial Genetics and Biotechnology (22 papers), DNA Repair Mechanisms (11 papers) and RNA and protein synthesis mechanisms (11 papers). Akio Nakata is often cited by papers focused on Bacterial Genetics and Biotechnology (22 papers), DNA Repair Mechanisms (11 papers) and RNA and protein synthesis mechanisms (11 papers). Akio Nakata collaborates with scholars based in Japan, United States and Ukraine. Akio Nakata's co-authors include Hideo Shinagawa, K Makino, M Amemura, Yoshizumi Ishino, Hiroshi Iwasaki, Masahiko Takahagi, Toshikazu Shiba, H. Shinagawa, Megumi Kasahara and Se‐Kwon Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Akio Nakata

58 papers receiving 3.8k citations

Hit Papers

Nucleotide sequence of the iap gene, responsible for alka... 1987 2026 2000 2013 1987 500 1000 1.5k

Peers

Akio Nakata
Comparison fields: 5 of 133
  • Molecular Biology 3.1k
  • Genetics 1.5k
  • Ecology 463
  • Plant Science 420
  • Endocrinology 374
Replace M Amemura with:
M Amemura Japan
Magnus Lundgren Sweden
Konrad U. Förstner Germany
Vivek K. Mutalik United States
Peng Qin China
Asaf Levy Israel
Brian Tjaden United States
Nina Costantino United States
Ofir Cohen Israel
M Amemura Japan View profile →
Citations per field, relative to Akio Nakata
Akio Nakata · 1×
Citations per year, relative to Akio Nakata
Akio Nakata · 1×

Countries citing papers authored by Akio Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Akio Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Nakata

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Nakata. A scholar is included among the top collaborators of Akio Nakata 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 Akio Nakata. Akio Nakata 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
# Work Indexed citations
1 3
2 12
3 2
4 1
5
Fecal carriage of CTX-M β-lactamase-producing Enterobacteriaceae in nursing homes in the Kinki region of Japan
9
6 97
7 24
8 1
9 48
10 136
11 14
12 9
13 42
14 70
15 8
16
Overproduction, affinity purification and characterization of 65-kDa protein of Mycobacterium leprae in Escherichia coli.
15
17 34
18 64
19 20
20 6

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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2026