So Nakagawa

10.8k citations
105 papers · 3.2k indexed · 3 hit papers · h-index 28
Topics
Genomics and Phylogenetic Studies (18 papers)Chromosomal and Genetic Variations (15 papers)Animal Virus Infections Studies (13 papers)
Partner nations
JapanUnited StatesChina

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 ...2009202620142020200920202021100200300400500

Peers

So Nakagawa
Comparison fields: 5 of 145
  • Molecular Biology 1.9k
  • Infectious Diseases 588
  • Genetics 560
  • Epidemiology 366
  • Plant Science 361
Replace Tokuma Yanai with:
Tokuma Yanai Japan
Hiroshi Sagara Japan
José A. Ramos‐Vara United States
Stefan Krebs Germany
Xavier Montagutelli France
David R. Hillyard United States
Apurva Narechania United States
Fredj Tekaia France
K. Gopal Murti United States
Masato Tsurudome Japan
So Nakagawa relative to Tokuma Yanai Japan Tokuma Yanai's profile →
Citations per field
00.5×3.1×
Tokuma Yanai · 1×
Citations per year

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
#WorkIndexed citations
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10 17
11 14
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Full-length 16S rRNA gene amplicon analysis of human gut microbiota using MinION™ nanopore sequencing confers species-level resolutionbreakdown →
209
13 25
14 7
15 29
16 24
17 5
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19 12
20 23

About So Nakagawa

So Nakagawa is a scholar working on Virology, Animal Science and Zoology and Infectious Diseases, having authored 105 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Chromosomal and Genetic Variations (15 papers) and Animal Virus Infections Studies (13 papers). The work is most often cited by research in Infectious Diseases (588 citations), Molecular Biology (1.9k citations) and Virology (101 citations). So Nakagawa has collaborated with scholars based in Japan, United States and China. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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