Akito Tanaka

3.9k citations
106 papers · 2.8k indexed · 1 hit paper · h-index 23
Topics
Signaling Pathways in Disease (15 papers)Receptor Mechanisms and Signaling (11 papers)Peptidase Inhibition and Analysis (11 papers)

In The Last Decade

Akito Tanaka

100 papers receiving 2.8k citations

Hit Papers

FK228 (depsipeptide) as a natural prodrug that inhibits c...20022026201020182002200400600

Peers

Akito Tanaka
Comparison fields: 5 of 119
  • Molecular Biology 2.2k
  • Oncology 423
  • Organic Chemistry 324
  • Cancer Research 187
  • Cellular and Molecular Neuroscience 170
Replace Kenneth H. Pearce with:
Kenneth H. Pearce United States
Angela N. Koehler United States
Aldo Jongejan Netherlands
Ricardo M. Biondi Germany
Miles A. Pufall United States
Derek R. Duckett United States
Rüdiger Woscholski United Kingdom
Zdzisław M. Szulc United States
Joerg Kallen Switzerland
Weiru Wang United States
Akito Tanaka relative to Kenneth H. Pearce United States Kenneth H. Pearce's profile →
Citations per field
00.5×1.5×1.8×
Kenneth H. Pearce · 1×
Citations per year

Countries citing papers authored by Akito Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Akito Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akito Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Akito Tanaka. A scholar is included among the top collaborators of Akito 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 Akito Tanaka. Akito 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
#WorkIndexed citations
1 7
2 0
3 9
4 51
5 57
6 140
7 3
8 4
9 9
10 1
11 335
12 8
13 9
14 49
15 1
16 19
17 15
18 66
19 2
20 31

About Akito Tanaka

Akito Tanaka is a scholar working on Molecular Biology, Immunology and Allergy and Oncology, having authored 106 papers that have together received 2.8k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (15 papers), Receptor Mechanisms and Signaling (11 papers) and Peptidase Inhibition and Analysis (11 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Aging (45 citations) and Oncology (423 citations). Akito Tanaka has collaborated with scholars based in Japan, United States and Somalia. Frequent co-authors include Tomoyuki Nishizaki, Yasuhiro Yamada, Takuya Yamamoto, Takeshi Kanno, Makoto Nishiyama, Ryohei Furumai, Akihisa Matsuyama, Yasuhiko Komatsu, Norikazu Nishino and Hidenori Nakajima. Their work appears in journals such as Nature, Cell 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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