Mikio Tanabe

6.9k citations
44 papers · 5.1k indexed · 2 hit papers · h-index 16
Topics
Bacterial Genetics and Biotechnology (9 papers)Laser-Plasma Interactions and Diagnostics (8 papers)Particle accelerators and beam dynamics (7 papers)

In The Last Decade

Mikio Tanabe

40 papers receiving 5.0k citations

Hit Papers

KEGG for integration and interpretation of large-scale mo...20112026201620212011202110002.0k3.0k

Peers

Mikio Tanabe
Comparison fields: 5 of 166
  • Molecular Biology 3.4k
  • Genetics 534
  • Plant Science 504
  • Ecology 477
  • Cancer Research 385
Replace Rafal Gumienny with:
Rafal Gumienny Switzerland
Florian Heer Switzerland
Rosalba Lepore Italy
András Fiser United States
Florian Kiefer Switzerland
Christine Rempfer Germany
Tjaart de Beer United Kingdom
Gerardo Tauriello Switzerland
Kenji Mizuguchi Japan
Richard A. Scheltema Netherlands
Mikio Tanabe relative to Rafal Gumienny Switzerland Rafal Gumienny's profile →
Citations per field
00.5×7.4×
Rafal Gumienny · 1×
Citations per year

Countries citing papers authored by Mikio Tanabe

Since Specialization
Citations

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

Fields of papers citing papers by Mikio Tanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikio Tanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Mikio Tanabe. A scholar is included among the top collaborators of Mikio Tanabe 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 Mikio Tanabe. Mikio Tanabe 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
1 1
2 5
3 17
4 11
5 11
6 42
7 7
8 9
9 3
10 2
11 20
12 11
13 10
14
KEGG for integration and interpretation of large-scale molecular data setsbreakdown →
3753
15 11
16 12
17 54
18 21
19 64
20
Prognostic prediction in neuroblastomas: clinical significance of combined analysis for Ha-ras p21 expression and N-myc gene amplification.
8

About Mikio Tanabe

Mikio Tanabe is a scholar working on Structural Biology, Molecular Medicine and Nuclear and High Energy Physics, having authored 44 papers that have together received 5.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), Laser-Plasma Interactions and Diagnostics (8 papers) and Particle accelerators and beam dynamics (7 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Structural Biology (52 citations) and Molecular Medicine (147 citations). Mikio Tanabe has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Susumu Goto, Miho Furumichi, Yoko Sato, Minoru Kanehisa, Kumar Nagarathinam, Rachel A. North, David Drew, Yuko Iko, Yoh Wada and Atsuko Iwamoto-Kihara. Their work appears in journals such as Science, Chemical Reviews 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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