Takashi Tada

5.7k citations
105 papers · 4.4k indexed · 1 hit paper · h-index 32
Topics
Pluripotent Stem Cells Research (39 papers)CRISPR and Genetic Engineering (30 papers)Renal and related cancers (16 papers)

In The Last Decade

Takashi Tada

103 papers receiving 4.3k citations

Hit Papers

Nuclear reprogramming of somatic cells by in vitro hybrid...20012026200920172001200400600

Peers

Takashi Tada
Comparison fields: 5 of 124
  • Molecular Biology 3.2k
  • Genetics 1.0k
  • Immunology 440
  • Surgery 431
  • Public Health, Environmental and Occupational Health 401
Replace Daniel B. Constam with:
Daniel B. Constam Switzerland
Lawrence S. Mathews United States
Sarah Howlett United Kingdom
Domenico Lazzaro Italy
Jonathan Godwin United Kingdom
Hong Lei United States
Jorge Laborda Spain
Benny Motro Israel
Andrea Kranz Germany
Martin Stehling Germany
Takashi Tada relative to Daniel B. Constam Switzerland Daniel B. Constam's profile →
Citations per field
00.5×1.5×2.1×
Daniel B. Constam · 1×
Citations per year

Countries citing papers authored by Takashi Tada

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Tada

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Tada. A scholar is included among the top collaborators of Takashi Tada 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 Takashi Tada. Takashi Tada 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 26
2 11
3 13
4 19
5
Conditional knockdown of Nanog induces apoptotic cell death in mouse migrating primordial germ cells
6
6 9
7 8
8 1
9 6
10 34
11 6
12 20
13 24
14 173
15
Nuclear reprogramming of somatic cells by in vitro hybridization with ES cellsbreakdown →
616
16 166
17 23
18 1
19 1
20 10

About Takashi Tada

Takashi Tada is a scholar working on Molecular Biology, Immunology and Genetics, having authored 105 papers that have together received 4.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (39 papers), CRISPR and Genetic Engineering (30 papers) and Renal and related cancers (16 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Genetics (1.0k citations) and Immunology (440 citations). Takashi Tada has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Masako Tada, Norio Nakatsuji, Hironobu Kimura, Kuniya Abe, Yousuke Takahama, Shinpei Yamaguchi, Hirofumi Suemori, Nobuo Takagi, Toru Abo and Takao Kuroda. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Molecular Cell.

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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