Kiyoshi Tachikawa

1.3k citations
27 papers · 786 indexed · h-index 15
Topics
RNA Interference and Gene Delivery (9 papers)Advanced biosensing and bioanalysis techniques (4 papers)MicroRNA in disease regulation (3 papers)
Partner nations
United StatesJapanSpain

In The Last Decade

Kiyoshi Tachikawa

26 papers receiving 729 citations

Peers

Kiyoshi Tachikawa
Comparison fields: 5 of 85
  • Molecular Biology 584
  • Genetics 168
  • Cancer Research 90
  • Infectious Diseases 59
  • Pharmacology 58
Replace Alfred Weber with:
Alfred Weber Austria
Ling Fu China
V. Saridakis Canada
Pengfei Fang China
Mary Sopta Croatia
J.J. Keusch Switzerland
Tomáš Vomastek Czechia
Neil H. Goss Australia
Bernd Meyhack Switzerland
Graham Catlin United Kingdom
Kiyoshi Tachikawa relative to Alfred Weber Austria Alfred Weber's profile →
Citations per field
00.5×10×13.5×
Alfred Weber · 1×
Citations per year

Countries citing papers authored by Kiyoshi Tachikawa

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Tachikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoshi Tachikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Tachikawa. A scholar is included among the top collaborators of Kiyoshi Tachikawa 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 Kiyoshi Tachikawa. Kiyoshi Tachikawa 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 0
2 5
3 11
4 3
5 10
6 2
7 27
8 27
9 236
10 28
11 33
12 43
13 35
14 8
15 42
16 17
17 36
18 11
19 57
20
CANCER IN JAPANESE EXPOSED AS CHILDREN TO THE ATOMIC BOMBS, 1950--69. HIROSHIMA AND NAGASAKI.
1

About Kiyoshi Tachikawa

Kiyoshi Tachikawa is a scholar working on Cancer Research, Molecular Biology and Clinical Biochemistry, having authored 27 papers that have together received 786 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Molecular Biology (584 citations), Genetics (168 citations) and Cancer Research (90 citations). Kiyoshi Tachikawa has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Pad Chivukula, Priya Karmali, Jerel Vega, Pattraranee Limphong, Inder M. Verma, Nina Tonnu, Suvasini Ramaswamy, Steven P. Briggs, Akira Endo and Abraham L. Sonenshein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Bacteriology.

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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