S. Tanaka

866 total citations
30 papers, 738 citations indexed

About

S. Tanaka is a scholar working on Molecular Biology, Epidemiology and Materials Chemistry. According to data from OpenAlex, S. Tanaka has authored 30 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Materials Chemistry. Recurrent topics in S. Tanaka's work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and DNA Repair Mechanisms (4 papers). S. Tanaka is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and DNA Repair Mechanisms (4 papers). S. Tanaka collaborates with scholars based in Japan, United States and Australia. S. Tanaka's co-authors include David Korn, Siyi Hu, Stanley A. Plotkin, Toru Furukawa, Klaus G. Bensch, Katsuro Koike, Hideo Nakajima, Akitsugu Okuwaki, Shigeki Sato and Midori Kobayashi and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Gastroenterology.

In The Last Decade

S. Tanaka

29 papers receiving 665 citations

Peers

S. Tanaka
Comparison fields: 5 of 84
  • Molecular Biology 443
  • Genetics 165
  • Epidemiology 145
  • Oncology 109
  • Cancer Research 67
Replace Anne Stern with:
Anne Stern Germany
Joseph T. Tomita United States
Richard A. Krzyzek United States
Samuel Salzberg Israel
William Meinke United States
Jourica A. Brandsma Netherlands
John I. Haynes United States
F. K. Sanders United Kingdom
A. Akrigg United Kingdom
Dennis G. Macejak United States
Anne Stern Germany View profile →
Citations per field, relative to S. Tanaka
S. Tanaka · 1×
Citations per year, relative to S. Tanaka
S. Tanaka · 1×

Countries citing papers authored by S. Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by S. Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of S. Tanaka. A scholar is included among the top collaborators of S. Tanaka 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 S. Tanaka. S. Tanaka 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 14
2
Study on SCC growth behavior of BWR core shroud
14
3 1
4 13
5 6
6 13
7
[A case of juvenile Alzheimer's disease with various neurological features such as myoclonus, showing grumose degeneration in the dentate nucleus].
1
8 14
9 30
10 238
11 18
12 14
13 11
14 8
15 5
16 3
17 15
18 11
19 7
20
Fractionation of equine infectious anemia virus by diethylaminoethyl cellulose chromatography and sucrose density gradient centrifugation.
9

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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