So Nakagawa

10.8k total citations · 3 hit papers
105 papers, 3.2k citations indexed

About

So Nakagawa is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, So Nakagawa has authored 105 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 27 papers in Plant Science and 25 papers in Genetics. Recurrent topics in So Nakagawa's work include Genomics and Phylogenetic Studies (18 papers), Chromosomal and Genetic Variations (15 papers) and Animal Virus Infections Studies (13 papers). So Nakagawa is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Chromosomal and Genetic Variations (15 papers) and Animal Virus Infections Studies (13 papers). So Nakagawa collaborates with scholars based in Japan, United States and China. So Nakagawa's co-authors include Tomitake Tsukihara, Shoji Maeda, Takayuki Miyazawa, Eiki Yamashita, Michihiro Suga, Yoshinori Fujiyoshi, Atsunori Oshima, Kirill Kryukov, Mahoko Takahashi Ueda and Tadashi Imanishi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

So Nakagawa

101 papers receiving 3.2k citations

Hit Papers

Structure of the connexin 26 gap junction channel at 3.5 ... 2009 2026 2014 2020 2009 2020 2021 100 200 300 400 500

Peers

So Nakagawa
Comparison fields: 5 of 145
  • Molecular Biology 1.9k
  • Infectious Diseases 588
  • Genetics 560
  • Epidemiology 366
  • Plant Science 361
Replace Aleksandar Radonić with:
Aleksandar Radonić Germany
Apurva Narechania United States
Nihal Altan‐Bonnet United States
Juan E. Abrahante United States
Eran Bacharach Israel
Rachele Cagliani Italy
Christopher K. E. Bleck United States
Todd Wylie United States
Richard Orton United Kingdom
Steven G. Widen United States
Aleksandar Radonić Germany View profile →
Citations per field, relative to So Nakagawa
So Nakagawa · 1×
Citations per year, relative to So Nakagawa
So Nakagawa · 1×

Countries citing papers authored by So Nakagawa

Since Specialization
Citations

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

Fields of papers citing papers by So Nakagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of So Nakagawa

This figure shows the co-authorship network connecting the top 25 collaborators of So Nakagawa. A scholar is included among the top collaborators of So Nakagawa 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 So Nakagawa. So Nakagawa 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 0
2 1
3 1
4 2
5 1
6 3
7 5
8 6
9 4
10 17
11 14
12
Full-length 16S rRNA gene amplicon analysis of human gut microbiota using MinION™ nanopore sequencing confers species-level resolution breakdown →
209
13 25
14 7
15 29
16 24
17 5
18 5
19 12
20 23

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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