Tadaatsu Goto

2.2k citations
15 papers · 1.8k indexed · 1 hit paper · h-index 13
Topics
Genomics and Chromatin Dynamics (7 papers)Developmental Biology and Gene Regulation (6 papers)Cancer therapeutics and mechanisms (3 papers)

In The Last Decade

Tadaatsu Goto

15 papers receiving 1.7k citations

Hit Papers

Hepatitis B virus genes and their expression in E. coli19792026199420101979100200300400500

Peers

Tadaatsu Goto
Comparison fields: 5 of 77
  • Molecular Biology 1.4k
  • Epidemiology 422
  • Plant Science 311
  • Genetics 263
  • Ecology 193
Replace N. Kyle Tanner with:
N. Kyle Tanner France
Paul D. Friesen United States
Barbara Zink Germany
Charlotta Funaya Germany
Yoshiyuki Matsuura Japan
Ivan N. Shatsky Russia
Adrian H. Batchelor United States
S. Funahashi Japan
Amy S.Y. Lee United States
Camilla Sjögren Sweden
Tadaatsu Goto relative to N. Kyle Tanner France N. Kyle Tanner's profile →
Citations per field
00.5×2.6×
N. Kyle Tanner · 1×
Citations per year

Countries citing papers authored by Tadaatsu Goto

Since Specialization
Citations

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

Fields of papers citing papers by Tadaatsu Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadaatsu Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Tadaatsu Goto. A scholar is included among the top collaborators of Tadaatsu Goto 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 Tadaatsu Goto. Tadaatsu Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 45
2 93
3 70
4 185
5 43
6 1
7 6
8 51
9 83
10 223
11 74
12 128
13 157
14 133
15
Hepatitis B virus genes and their expression in E. colibreakdown →
507

About Tadaatsu Goto

Tadaatsu Goto is a scholar working on Aging, Molecular Biology and Genetics, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Developmental Biology and Gene Regulation (6 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Hepatology (172 citations), Toxicology (70 citations) and Molecular Biology (1.4k citations). Tadaatsu Goto has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Miki Fujioka, James C. Wang, Paul M. Macdonald, T Maniatis, James B. Jaynes, Walter Gilbert, Kenneth Murray, Heinz Schaller, Patricia Mackay and G. Leadbetter. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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