D Nakada

519 citations
32 papers · 451 · h-index 14

Impact in

  • Ecology top 10%
    • Bacteriophages and microbial interactions
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 21
    • DNA and Nucleic Acid Chemistry 5
    • DNA Repair Mechanisms 2
    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • Bacteriophages and microbial interactions 21

D Nakada

32 papers receiving 349 citations

Peers

D Nakada
Comparison fields: 5 of 46
  • Ecology 271
  • Genetics 245
  • Molecular Biology 376
  • Endocrinology 23
  • Molecular Medicine 21
Replace Carol Egner with:
Carol Egner United States
Don Court United States
Helen Eberle United States
Bjarne Albrechtsen Denmark
Janice Light Denmark
E Pas Netherlands
R C Gayda United States
William C. Tacon United Kingdom
Gianpiero Sironi Italy
Marianne Grunberg‐Manago France
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Citations per field
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Citations per year

Countries citing papers authored by D Nakada

Since Specialization
Citations

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

Fields of papers citing papers by D Nakada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside D Nakada, 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 D Nakada Line = papers co-authored together D Nakada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197755
2 196744
3 197723
4 197523
5 197223
6 197423
7 197120
8 197419
9 197419
10 197019
11 197918
12 197916
13 198115
14 196914
15 197613
16 198011
17 197811
18 196710
19 19719
20 19758

About D Nakada

D Nakada is a scholar working on Molecular Biology, Ecology, Genetics, Molecular Medicine and Infectious Diseases, having authored 32 papers that have together received 451 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), Bacteriophages and microbial interactions (21 papers), Bacterial Genetics and Biotechnology (16 papers), DNA and Nucleic Acid Chemistry (5 papers), Antibiotic Resistance in Bacteria (3 papers), DNA Repair Mechanisms (2 papers), RNA modifications and cancer (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Ecology (271 citations), Genetics (245 citations), Molecular Biology (376 citations), Endocrinology (23 citations) and Molecular Medicine (21 citations). D Nakada has collaborated with scholars based in United States and India. Frequent co-authors include Yoshihiko Yamada, T. Sugiyama, Yasuhiro Yamada, Garret M. Ihler, Kathryn Calame, R. Michael Young, Marvin J. Grubman, John Leavitt, Kivie Moldave and M Ontell. Their work appears in journals such as Journal of Virology, Journal of Molecular Biology, Nature, Journal of Bacteriology 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.

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