K Tanaka
- Molecular Biology top 5%
- Oncology top 5%
- Cell Biology top 2%
- Immunology top 10%
- Epidemiology top 10%
- Co-authors
- Akira IchiharaAlfred L. GoldbergLloyd WaxmanAtsushi KumatoriK IiSo-I ShinTakehiko OguraS Sone
- Topics
- Ubiquitin and proteasome pathways (13 papers)Mitochondrial Function and Pathology (7 papers)Peptidase Inhibition and Analysis (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
K Tanaka
32 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.7k
- Oncology 546
- Cell Biology 474
- Immunology 266
- Epidemiology 250
Countries citing papers authored by K Tanaka
This map shows the geographic impact of K 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 K Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Tanaka more than expected).
Fields of papers citing papers by K Tanaka
This network shows the impact of papers produced by K 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 K Tanaka. The network helps show where K Tanaka may publish in the future.
Co-authorship network of co-authors of K Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of K Tanaka. A scholar is included among the top collaborators of K 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 K Tanaka. K Tanaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 29 | |
| 3 | The effect of the cultivation of genetically modified crops on the use of pesticides and the impact thereof on the environment | 1 |
| 4 | 23 | |
| 5 | 48 | |
| 6 | 343 | |
| 7 | 5 | |
| 8 | 167 | |
| 9 | 8 | |
| 10 | 53 | |
| 11 | 73 | |
| 12 | 20 | |
| 13 | IRA2, an upstream negative regulator of RAS in yeast, is a RAS GTPase protein | 32 |
| 14 | 16 | |
| 15 | 14 | |
| 16 | 254 | |
| 17 | 116 | |
| 18 | [Mitochondrial angiopathy in the cerebral blood vessels of MELAS (mitochondrial myopathy, encephalopathy, lactic acidosis and strokelike episodes)]. | 10 |
| 19 | 301 | |
| 20 | 135 |
About K Tanaka
K Tanaka is a scholar working on Molecular Biology, Parasitology and Cell Biology, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Mitochondrial Function and Pathology (7 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Cell Biology (474 citations), Molecular Biology (1.7k citations) and Oncology (546 citations). K Tanaka has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Akira Ichihara, Alfred L. Goldberg, Lloyd Waxman, Atsushi Kumatori, K Ii, So-I Shin, Takehiko Ogura, S Sone, Tomohiro Tamura and Teizo Yoshimura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.